1
|
Gautheron A, Bernstock JD, Picart T, Guyotat J, Valdés PA, Montcel B. 5-ALA induced PpIX fluorescence spectroscopy in neurosurgery: a review. Front Neurosci 2024; 18:1310282. [PMID: 38348134 PMCID: PMC10859467 DOI: 10.3389/fnins.2024.1310282] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2023] [Accepted: 01/02/2024] [Indexed: 02/15/2024] Open
Abstract
The review begins with an overview of the fundamental principles/physics underlying light, fluorescence, and other light-matter interactions in biological tissues. It then focuses on 5-aminolevulinic acid (5-ALA)-induced protoporphyrin IX (PpIX) fluorescence spectroscopy methods used in neurosurgery (e.g., intensity, time-resolved) and in so doing, describe their specific features (e.g., hardware requirements, main processing methods) as well as their strengths and limitations. Finally, we review current clinical applications and future directions of 5-ALA-induced protoporphyrin IX (PpIX) fluorescence spectroscopy in neurosurgery.
Collapse
Affiliation(s)
- A. Gautheron
- Université Jean Monnet Saint-Etienne, CNRS, Institut d Optique Graduate School, Laboratoire Hubert Curien UMR 5516, Saint-Étienne, France
- Univ Lyon, INSA-Lyon, Université Claude Bernard Lyon 1, UJM-Saint Etienne, CNRS, Inserm, CREATIS UMR 5220, U1294, Lyon, France
| | - J. D. Bernstock
- Department of Neurosurgery, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, United States
- David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, United States
| | - T. Picart
- Department of Neurosurgical Oncology and Vascular Neurosurgery, Pierre Wertheimer Neurological and Neurosurgical Hospital, Hospices Civils de Lyon, Lyon, France
- Université Lyon 1, INSERM 1052, CNRS 5286, Lyon, France
| | - J. Guyotat
- Department of Neurosurgical Oncology and Vascular Neurosurgery, Pierre Wertheimer Neurological and Neurosurgical Hospital, Hospices Civils de Lyon, Lyon, France
| | - P. A. Valdés
- Department of Neurosurgery, University of Texas Medical Branch, Galveston, TX, United States
- Department of Neurobiology, University of Texas Medical Branch, Galveston, TX, United States
- Department of Electrical and Computer Engineering, Rice University, Houston, TX, United States
| | - B. Montcel
- Univ Lyon, INSA-Lyon, Université Claude Bernard Lyon 1, UJM-Saint Etienne, CNRS, Inserm, CREATIS UMR 5220, U1294, Lyon, France
| |
Collapse
|
2
|
Suero Molina E, Black D, Walke A, Azemi G, D’Alessandro F, König S, Stummer W. Unraveling the blue shift in porphyrin fluorescence in glioma: The 620 nm peak and its potential significance in tumor biology. Front Neurosci 2023; 17:1261679. [PMID: 38027504 PMCID: PMC10657867 DOI: 10.3389/fnins.2023.1261679] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2023] [Accepted: 10/20/2023] [Indexed: 12/01/2023] Open
Abstract
In glioma surgery, the low-density infiltration zone of tumors is difficult to detect by any means. While, for instance, 5-aminolevulinic acid (5-ALA)-induced fluorescence is a well-established surgical procedure for maximizing resection of malignant gliomas, a cell density in tumor tissue of 20-30% is needed to observe visual fluorescence. Hyperspectral imaging is a powerful technique for the optical characterization of brain tissue, which accommodates the complex spectral properties of gliomas. Thereby, knowledge about the signal source is essential to generate specific separation (unmixing) procedures for the different spectral characteristics of analytes and estimate compound abundances. It was stated that protoporphyrin IX (PpIX) fluorescence consists mainly of emission peaks at 634 nm (PpIX634) and 620 nm (PpIX620). However, other members of the substance group of porphyrins fluoresce similarly to PpIX due to their common tetrapyrrole core structure. While the PpIX634 signal has reliably been assigned to PpIX, it has not yet been analyzed if PpIX620 might result from a different porphyrin rather than being a second photo state of PpIX. We thus reviewed more than 200,000 spectra from various tumors measured in almost 600 biopsies of 130 patients. Insufficient consideration of autofluorescence led to artificial inflation of the PpIX620 peak in the past. Recently, five basis spectra (PpIX634, PpIX620, flavin, lipofuscin, and NADH) were described and incorporated into the analysis algorithm, which allowed more accurate unmixing of spectral abundances. We used the improved algorithm to investigate the PpIX620 signal more precisely and investigated coproporphyrin III (CpIII) fluorescence phantoms for spectral unmixing. Our findings show that the PpIX634 peak was the primary source of the 5-ALA-induced fluorescence. CpIII had a similar spectral characteristic to PpIX620. The supplementation of 5-ALA may trigger the increased production of porphyrins other than PpIX within the heme biosynthesis pathway, including that of CpIII. It is essential to correctly separate autofluorescence from the main PpIX634 peak to analyze the fluorescence signal. This article highlights the need for a comprehensive understanding of the spectral complexity in gliomas and suggests less significance of the 620 nm fluorescence peak for PpIX analysis and visualization.
Collapse
Affiliation(s)
- Eric Suero Molina
- Department of Neurosurgery, University Hospital of Münster, Münster, Germany
- Computational NeuroSurgery (CNS) Lab, Macquarie Medical School, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, NSW, Australia
| | - David Black
- Department of Electrical and Computer Engineering, University of British Columbia, Vancouver, BC, Canada
| | - Anna Walke
- Department of Neurosurgery, University Hospital of Münster, Münster, Germany
- Core Unit Proteomics, Interdisciplinary Centre for Clinical Research, University of Münster, Münster, Germany
| | - Ghasem Azemi
- Computational NeuroSurgery (CNS) Lab, Macquarie Medical School, Faculty of Medicine, Health and Human Sciences, Macquarie University, Sydney, NSW, Australia
| | - Fabio D’Alessandro
- Department of Neurosurgery, University Hospital of Münster, Münster, Germany
- Core Unit Proteomics, Interdisciplinary Centre for Clinical Research, University of Münster, Münster, Germany
| | - Simone König
- Core Unit Proteomics, Interdisciplinary Centre for Clinical Research, University of Münster, Münster, Germany
| | - Walter Stummer
- Department of Neurosurgery, University Hospital of Münster, Münster, Germany
| |
Collapse
|
3
|
Arias A, Anastasopoulou M, Gorpas D, Ntziachristos V. Using reflectometry to minimize the dependence of fluorescence intensity on optical absorption and scattering. BIOMEDICAL OPTICS EXPRESS 2023; 14:5499-5511. [PMID: 37854563 PMCID: PMC10581795 DOI: 10.1364/boe.496599] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Accepted: 09/11/2023] [Indexed: 10/20/2023]
Abstract
The total diffuse reflectance RT and the effective attenuation coefficient µeff of an optically diffuse medium map uniquely onto its absorption and reduced scattering coefficients. Using this premise, we developed a methodology where RT and the slope of the logarithmic spatially resolved reflectance, a quantity related to µeff, are the inputs of a look-up table to correct the dependence of fluorescent signals on the media's optical properties. This methodology does not require an estimation of the medium's optical property, avoiding elaborate simulations and their errors to offer accurate and fast corrections. The experimental demonstration of our method yielded a mean relative error in fluorophore concentrations of less than 4% over a wide range of optical property variations. We discuss how the method developed can be employed to improve image fidelity and fluorochrome quantification in fluorescence molecular imaging clinical applications.
Collapse
Affiliation(s)
- Augusto Arias
- Chair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine, Technical University of Munich, Munich, 81675, Germany
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, 85764, Germany
| | - Maria Anastasopoulou
- Chair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine, Technical University of Munich, Munich, 81675, Germany
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, 85764, Germany
| | - Dimitris Gorpas
- Chair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine, Technical University of Munich, Munich, 81675, Germany
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, 85764, Germany
| | - Vasilis Ntziachristos
- Chair of Biological Imaging at the Central Institute for Translational Cancer Research (TranslaTUM), School of Medicine, Technical University of Munich, Munich, 81675, Germany
- Institute of Biological and Medical Imaging, Helmholtz Zentrum München, Neuherberg, 85764, Germany
- DZHK (German Centre for Cardiovascular Research), partner site Munich Heart Alliance, Munich, 81675, Germany
| |
Collapse
|
4
|
Walke A, Black D, Valdes PA, Stummer W, König S, Suero-Molina E. Challenges in, and recommendations for, hyperspectral imaging in ex vivo malignant glioma biopsy measurements. Sci Rep 2023; 13:3829. [PMID: 36882505 PMCID: PMC9992662 DOI: 10.1038/s41598-023-30680-2] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2022] [Accepted: 02/28/2023] [Indexed: 03/09/2023] Open
Abstract
The visualization of protoporphyrin IX (PPIX) fluorescence with the help of surgical microscopes during 5-aminolevulinic acid-mediated fluorescence-guided resection (FGR) of gliomas is still limited at the tumor margins. Hyperspectral imaging (HI) detects PPIX more sensitively but is not yet ready for intraoperative use. We illustrate the current status with three experiments and summarize our own experience using HI: (1) assessment of HI analysis algorithm using pig brain tissue, (2) a partially retrospective evaluation of our experience from HI projects, and (3) device comparison of surgical microscopy and HI. In (1), we address the problem that current algorithms for evaluating HI data are based on calibration with liquid phantoms, which have limitations. Their pH is low compared to glioma tissue; they provide only one PPIX photo state and only PPIX as fluorophore. Testing the HI algorithm with brain homogenates, we found proper correction for optical properties but not pH. Considerably more PPIX was measured at pH 9 than at pH 5. In (2), we indicate pitfalls and guide HI application. In (3), we found HI superior to the microscope for biopsy diagnosis (AUC = 0.845 ± 0.024 (cut-off 0.75 µg PPIX/ml) vs. 0.710 ± 0.035). HI thus offers potential for improved FGR.
Collapse
Affiliation(s)
- Anna Walke
- Department of Neurosurgery, University Hospital of Münster, Albert-Schweitzer-Campus 1, A1, 48149, Münster, Germany.,Core Unit Proteomics, Interdisciplinary Centre for Clinical Research, University of Münster, Münster, Germany
| | - David Black
- Department of Electrical and Computer Engineering, University of British Columbia, Vancouver, Canada
| | - Pablo A Valdes
- Department of Neurosurgery, University of Texas Medical Branch, Galveston, TX, USA
| | - Walter Stummer
- Department of Neurosurgery, University Hospital of Münster, Albert-Schweitzer-Campus 1, A1, 48149, Münster, Germany
| | - Simone König
- Core Unit Proteomics, Interdisciplinary Centre for Clinical Research, University of Münster, Münster, Germany
| | - Eric Suero-Molina
- Department of Neurosurgery, University Hospital of Münster, Albert-Schweitzer-Campus 1, A1, 48149, Münster, Germany.
| |
Collapse
|
5
|
Dinh J, Yamashita A, Kang H, Gioux S, Choi HS. Optical Tissue Phantoms for Quantitative Evaluation of Surgical Imaging Devices. ADVANCED PHOTONICS RESEARCH 2023; 4:2200194. [PMID: 36643020 PMCID: PMC9838008 DOI: 10.1002/adpr.202200194] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
Abstract
Optical tissue phantoms (OTPs) have been extensively applied to the evaluation of imaging systems and surgical training. Due to their human tissue-mimicking characteristics, OTPs can provide accurate optical feedback on the performance of image-guided surgical instruments, simulating the biological sizes and shapes of human organs, and preserving similar haptic responses of original tissues. This review summarizes the essential components of OTPs (i.e., matrix, scattering and absorbing agents, and fluorophores) and the various manufacturing methods currently used to create suitable tissue-mimicking phantoms. As photobleaching is a major challenge in OTP fabrication and its feedback accuracy, phantom photostability and how the photobleaching phenomenon can affect their optical properties are discussed. Consequently, the need for novel photostable OTPs for the quantitative evaluation of surgical imaging devices is emphasized.
Collapse
Affiliation(s)
- Jason Dinh
- Gordon Center for Medical Imaging, Department of Radiology, Harvard Medical School, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Atsushi Yamashita
- Gordon Center for Medical Imaging, Department of Radiology, Harvard Medical School, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Homan Kang
- Gordon Center for Medical Imaging, Department of Radiology, Harvard Medical School, Massachusetts General Hospital, Boston, MA 02114, USA
| | - Sylvain Gioux
- Intuitive Surgical Sàrl, 1170 Aubonne, Switzerland
- ICube Laboratory, University of Strasbourg, 67081 Strasbourg, France
| | - Hak Soo Choi
- Gordon Center for Medical Imaging, Department of Radiology, Harvard Medical School, Massachusetts General Hospital, Boston, MA 02114, USA
| |
Collapse
|
6
|
Taylor-Williams M, Spicer G, Bale G, Bohndiek SE. Noninvasive hemoglobin sensing and imaging: optical tools for disease diagnosis. JOURNAL OF BIOMEDICAL OPTICS 2022; 27:JBO-220074VR. [PMID: 35922891 PMCID: PMC9346606 DOI: 10.1117/1.jbo.27.8.080901] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/06/2022] [Accepted: 06/27/2022] [Indexed: 05/08/2023]
Abstract
SIGNIFICANCE Measurement and imaging of hemoglobin oxygenation are used extensively in the detection and diagnosis of disease; however, the applied instruments vary widely in their depth of imaging, spatiotemporal resolution, sensitivity, accuracy, complexity, physical size, and cost. The wide variation in available instrumentation can make it challenging for end users to select the appropriate tools for their application and to understand the relative limitations of different methods. AIM We aim to provide a systematic overview of the field of hemoglobin imaging and sensing. APPROACH We reviewed the sensing and imaging methods used to analyze hemoglobin oxygenation, including pulse oximetry, spectral reflectance imaging, diffuse optical imaging, spectroscopic optical coherence tomography, photoacoustic imaging, and diffuse correlation spectroscopy. RESULTS We compared and contrasted the ability of different methods to determine hemoglobin biomarkers such as oxygenation while considering factors that influence their practical application. CONCLUSIONS We highlight key limitations in the current state-of-the-art and make suggestions for routes to advance the clinical use and interpretation of hemoglobin oxygenation information.
Collapse
Affiliation(s)
- Michaela Taylor-Williams
- University of Cambridge, Department of Physics, Cavendish Laboratory, Cambridge, United Kingdom, United Kingdom
- University of Cambridge, Cancer Research UK Cambridge Institute, Cambridge, United Kingdom, United Kingdom
| | - Graham Spicer
- University of Cambridge, Department of Physics, Cavendish Laboratory, Cambridge, United Kingdom, United Kingdom
- University of Cambridge, Cancer Research UK Cambridge Institute, Cambridge, United Kingdom, United Kingdom
| | - Gemma Bale
- University of Cambridge, Department of Physics, Cavendish Laboratory, Cambridge, United Kingdom, United Kingdom
- University of Cambridge, Electrical Division, Department of Engineering, Cambridge, United Kingdom, United Kingdom
| | - Sarah E Bohndiek
- University of Cambridge, Department of Physics, Cavendish Laboratory, Cambridge, United Kingdom, United Kingdom
- University of Cambridge, Cancer Research UK Cambridge Institute, Cambridge, United Kingdom, United Kingdom
| |
Collapse
|
7
|
Fundamentals and developments in fluorescence-guided cancer surgery. Nat Rev Clin Oncol 2022; 19:9-22. [PMID: 34493858 DOI: 10.1038/s41571-021-00548-3] [Citation(s) in RCA: 93] [Impact Index Per Article: 46.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/26/2021] [Indexed: 02/07/2023]
Abstract
Fluorescence-guided surgery using tumour-targeted imaging agents has emerged over the past decade as a promising and effective method of intraoperative cancer detection. An impressive number of fluorescently labelled antibodies, peptides, particles and other molecules related to cancer hallmarks have been developed for the illumination of target lesions. New approaches are being implemented to translate these imaging agents into the clinic, although only a few have made it past early-phase clinical trials. For this translational process to succeed, target selection, imaging agents and their related detection systems and clinical implementation have to operate in perfect harmony to enable real-time intraoperative visualization that can benefit patients. Herein, we review key aspects of this imaging cascade and focus on imaging approaches and methods that have helped to shed new light onto the field of intraoperative fluorescence-guided cancer surgery with the singular goal of improving patient outcomes.
Collapse
|
8
|
Pardo A, Streeter SS, Maloney BW, Gutierrez-Gutierrez JA, McClatchy DM, Wells WA, Paulsen KD, Lopez-Higuera JM, Pogue BW, Conde OM. Modeling and Synthesis of Breast Cancer Optical Property Signatures With Generative Models. IEEE TRANSACTIONS ON MEDICAL IMAGING 2021; 40:1687-1701. [PMID: 33684035 PMCID: PMC8224479 DOI: 10.1109/tmi.2021.3064464] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/04/2023]
Abstract
Is it possible to find deterministic relationships between optical measurements and pathophysiology in an unsupervised manner and based on data alone? Optical property quantification is a rapidly growing biomedical imaging technique for characterizing biological tissues that shows promise in a range of clinical applications, such as intraoperative breast-conserving surgery margin assessment. However, translating tissue optical properties to clinical pathology information is still a cumbersome problem due to, amongst other things, inter- and intrapatient variability, calibration, and ultimately the nonlinear behavior of light in turbid media. These challenges limit the ability of standard statistical methods to generate a simple model of pathology, requiring more advanced algorithms. We present a data-driven, nonlinear model of breast cancer pathology for real-time margin assessment of resected samples using optical properties derived from spatial frequency domain imaging data. A series of deep neural network models are employed to obtain sets of latent embeddings that relate optical data signatures to the underlying tissue pathology in a tractable manner. These self-explanatory models can translate absorption and scattering properties measured from pathology, while also being able to synthesize new data. The method was tested on a total of 70 resected breast tissue samples containing 137 regions of interest, achieving rapid optical property modeling with errors only limited by current semi-empirical models, allowing for mass sample synthesis and providing a systematic understanding of dataset properties, paving the way for deep automated margin assessment algorithms using structured light imaging or, in principle, any other optical imaging technique seeking modeling. Code is available.
Collapse
|
9
|
Meijer RPJ, van Manen L, Hartgrink HH, Burggraaf J, Gioux S, Vahrmeijer AL, Mieog JSD. Quantitative dynamic near-infrared fluorescence imaging using indocyanine green for analysis of bowel perfusion after mesenteric resection. JOURNAL OF BIOMEDICAL OPTICS 2021; 26:JBO-200408LR. [PMID: 34109769 PMCID: PMC8189572 DOI: 10.1117/1.jbo.26.6.060501] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/23/2020] [Accepted: 04/23/2021] [Indexed: 06/12/2023]
Abstract
SIGNIFICANCE Near-infrared (NIR) fluorescence imaging using indocyanine green (ICG) has proven to be a feasible application for real-time intraoperative assessment of tissue perfusion, although quantification of NIR fluorescence signals is pivotal for standardized assessment of tissue perfusion. AIM Four patients are described with possible compromised bowel perfusion after mesenteric resection. Based on these patients we want to emphasize the difficulties in the quantification of NIR fluorescence imaging for perfusion analysis. APPROACH During image-guided fluorescence assessment, 5 mg of ICG (2.5 mg / ml) was intravenously administered by the anesthesiologist. NIR fluorescence imaging was done with the open camera system of Quest Medical Imaging. Fluorescence data taken from the regions of interest (bowel at risk, transition zone of bowel at risk and adjacent normally perfused bowel, and normally perfused reference bowel) were quantitatively analyzed after surgery for fluorescence intensity-and perfusion time-related parameters. RESULTS Bowel perfusion, as assessed clinically by independent surgeons based on NIR fluorescence imaging, resulted in different treatment strategies, three with excellent clinical outcome, but one with a perfusion related complication. Post-surgery quantitative analysis of fluorescence dynamics showed different patterns in the affected bowel segment compared to the unaffected reference segments for the four patients. CONCLUSIONS Similar intraoperative fluorescence results could lead to different surgical treatment strategies, which demonstrated the difficulties in interpretation of uncorrected fluorescence signals. Real-time quantification and standardization of NIR fluorescence perfusion imaging could probably aid surgeons in the nearby future.
Collapse
Affiliation(s)
- Ruben P. J. Meijer
- Leiden University Medical Center, Department of Surgery, Leiden, The Netherlands
- Centre for Human Drug Research, Leiden, The Netherlands
| | - Labrinus van Manen
- Leiden University Medical Center, Department of Surgery, Leiden, The Netherlands
| | - Henk H. Hartgrink
- Leiden University Medical Center, Department of Surgery, Leiden, The Netherlands
| | - Jacobus Burggraaf
- Leiden University Medical Center, Department of Surgery, Leiden, The Netherlands
- Centre for Human Drug Research, Leiden, The Netherlands
| | - Sylvain Gioux
- University of Strasbourg, ICube Laboratory, Strasbourg, France
| | | | - J. Sven D. Mieog
- Leiden University Medical Center, Department of Surgery, Leiden, The Netherlands
| |
Collapse
|
10
|
Spatial-Frequency Domain Imaging: An Emerging Depth-Varying and Wide-Field Technique for Optical Property Measurement of Biological Tissues. PHOTONICS 2021. [DOI: 10.3390/photonics8050162] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
Measurement of optical properties is critical for understanding light-tissue interaction, properly interpreting measurement data, and gaining better knowledge of tissue physicochemical properties. However, conventional optical measuring techniques are limited in point measurement, which partly hinders the applications on characterizing spatial distribution and inhomogeneity of optical properties of biological tissues. Spatial-frequency domain imaging (SFDI), as an emerging non-contact, depth-varying and wide-field optical imaging technique, is capable of measuring the optical properties in a wide field-of-view on a pixel-by-pixel basis. This review first describes the typical SFDI system and the principle for estimating optical properties using the SFDI technique. Then, the applications of SFDI in the fields of biomedicine, as well as food and agriculture, are reviewed, including burn assessment, skin tissue evaluation, tumor tissue detection, brain tissue monitoring, and quality evaluation of agro-products. Finally, a discussion on the challenges and future perspectives of SFDI for optical property estimation is presented.
Collapse
|
11
|
Yun B, Zhu H, Yuan J, Sun Q, Li Z. Synthesis, modification and bioapplications of nanoscale copper chalcogenides. J Mater Chem B 2021; 8:4778-4812. [PMID: 32226981 DOI: 10.1039/d0tb00182a] [Citation(s) in RCA: 33] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Copper chalcogenides have a simple general formula, variable atomic ratios, and complicated crystal structures, which lead to their wealth of optical, electrical, and magnetic properties with great potential for wide applications ranging from energy conversion to the biomedical field. Herein, we summarize the recent advances in (1) the synthesis of size- and morphology tunable nanostructures by different methods; (2) surface modification and functionalization for different purposes; and (3) bioapplications for diagnosis and treatment of tumors by different imaging and therapy methods, as well as antibacterial applications. We also briefly discuss the future directions and challenges of copper chalcogenide nanoparticles in the biomedical field.
Collapse
Affiliation(s)
- Baofeng Yun
- Center for Molecular Imaging and Nuclear Medicine, State Key Laboratory of Radiation Medicine and Protection, School for Radiological and Interdisciplinary Sciences (RAD-X), Soochow University, Collaborative Innovation Center of Radiation Medicine of Jiangsu Higher Education Institutions, Suzhou 215123, P. R. China.
| | - Hongqin Zhu
- Center for Molecular Imaging and Nuclear Medicine, State Key Laboratory of Radiation Medicine and Protection, School for Radiological and Interdisciplinary Sciences (RAD-X), Soochow University, Collaborative Innovation Center of Radiation Medicine of Jiangsu Higher Education Institutions, Suzhou 215123, P. R. China.
| | - Jiaxin Yuan
- Center for Molecular Imaging and Nuclear Medicine, State Key Laboratory of Radiation Medicine and Protection, School for Radiological and Interdisciplinary Sciences (RAD-X), Soochow University, Collaborative Innovation Center of Radiation Medicine of Jiangsu Higher Education Institutions, Suzhou 215123, P. R. China.
| | - Qiao Sun
- Center for Molecular Imaging and Nuclear Medicine, State Key Laboratory of Radiation Medicine and Protection, School for Radiological and Interdisciplinary Sciences (RAD-X), Soochow University, Collaborative Innovation Center of Radiation Medicine of Jiangsu Higher Education Institutions, Suzhou 215123, P. R. China.
| | - Zhen Li
- Center for Molecular Imaging and Nuclear Medicine, State Key Laboratory of Radiation Medicine and Protection, School for Radiological and Interdisciplinary Sciences (RAD-X), Soochow University, Collaborative Innovation Center of Radiation Medicine of Jiangsu Higher Education Institutions, Suzhou 215123, P. R. China.
| |
Collapse
|
12
|
Zhao Y, Deng Y, Yue S, Wang M, Song B, Fan Y. Direct mapping from diffuse reflectance to chromophore concentrations in multi- fx spatial frequency domain imaging (SFDI) with a deep residual network (DRN). BIOMEDICAL OPTICS EXPRESS 2021; 12:433-443. [PMID: 33659081 PMCID: PMC7899520 DOI: 10.1364/boe.409654] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/22/2020] [Revised: 11/11/2020] [Accepted: 11/13/2020] [Indexed: 05/18/2023]
Abstract
Spatial frequency domain imaging (SFDI) is an emerging technology that enables label-free, non-contact, and wide-field mapping of tissue chromophore contents, such as oxy- and deoxy-hemoglobin concentrations. It has been shown that the use of more than two spatial frequencies (multi-fx ) can vastly improve measurement accuracy and reduce chromophore estimation uncertainties, but real-time multi-fx SFDI for chromophore monitoring has been limited in practice due to the slow speed of available chromophore inversion algorithms. Existing inversion algorithms have to first convert the multi-fx diffuse reflectance to optical absorptions, and then solve a set of linear equations to estimate chromophore concentrations. In this work, we present a deep learning framework, noted as a deep residual network (DRN), that is able to directly map from diffuse reflectance to chromophore concentrations. The proposed DRN is over 10x faster than the state-of-the-art method for chromophore inversion and enables 25x improvement on the frame rate for in vivo real-time oxygenation mapping. The proposed deep learning model will help enable real-time and highly accurate chromophore monitoring with multi-fx SFDI.
Collapse
Affiliation(s)
- Yanyu Zhao
- Beijing Advanced Innovation Center for Biomedical Engineering, Key Laboratory for Biomechanics and Mechanobiology of Ministry of Education, School of Biological Science and Medical Engineering, Beihang University, Beijing, 100191, China
| | - Yue Deng
- School of Astronautics, Beihang University, Beijing 100191, China
| | - Shuhua Yue
- Beijing Advanced Innovation Center for Biomedical Engineering, Key Laboratory for Biomechanics and Mechanobiology of Ministry of Education, School of Biological Science and Medical Engineering, Beihang University, Beijing, 100191, China
| | - Ming Wang
- Institute of Spacecraft Application System Engineering, China Academy of Space Technology, Beijing, 100094, China
| | - Bowen Song
- Beijing Advanced Innovation Center for Biomedical Engineering, Key Laboratory for Biomechanics and Mechanobiology of Ministry of Education, School of Biological Science and Medical Engineering, Beihang University, Beijing, 100191, China
| | - Yubo Fan
- Beijing Advanced Innovation Center for Biomedical Engineering, Key Laboratory for Biomechanics and Mechanobiology of Ministry of Education, School of Biological Science and Medical Engineering, Beihang University, Beijing, 100191, China
| |
Collapse
|
13
|
Beaulieu E, Laurence A, Birlea M, Sheehy G, Angulo-Rodriguez L, Latour M, Albadine R, Saad F, Trudel D, Leblond F. Wide-field optical spectroscopy system integrating reflectance and spatial frequency domain imaging to measure attenuation-corrected intrinsic tissue fluorescence in radical prostatectomy specimens. BIOMEDICAL OPTICS EXPRESS 2020; 11:2052-2072. [PMID: 32341866 PMCID: PMC7173915 DOI: 10.1364/boe.388482] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/23/2020] [Revised: 02/13/2020] [Accepted: 03/08/2020] [Indexed: 06/11/2023]
Abstract
The development of a multimodal optical imaging system is presented that integrates endogenous fluorescence and diffuse reflectance spectroscopy with single-wavelength spatial frequency domain imaging (SFDI) and surface profilometry. The system images specimens at visible wavelengths with a spatial resolution of 70 µm, a field of view of 25 cm2 and a depth of field of ∼1.5 cm. The results of phantom experiments are presented demonstrating the system retrieves absorption and reduced scattering coefficient maps using SFDI with <6% reconstruction errors. A phase-shifting profilometry technique is implemented and the resulting 3-D surface used to compute a geometric correction ensuring optical properties reconstruction errors are maintained to <6% in curved media with height variations <20 mm. Combining SFDI-computed optical properties with data from diffuse reflectance spectra is shown to correct fluorescence using a model based on light transport in tissue theory. The system is used to image a human prostate, demonstrating its ability to distinguish prostatic tissue (anterior stroma, hyperplasia, peripheral zone) from extra-prostatic tissue (urethra, ejaculatory ducts, peri-prostatic tissue). These techniques could be integrated in robotic-assisted surgical systems to enhance information provided to surgeons and improve procedural accuracy by minimizing the risk of damage to extra-prostatic tissue during radical prostatectomy procedures and eventually detect residual cancer.
Collapse
Affiliation(s)
- Emile Beaulieu
- Polytechnique Montreal, Dept. of
Engineering Physics, C.P. 6079, Succ. Centre-ville, Montreal, QC H3C
3A7, Canada
- Centre Hospitalier Universitaire de
Montreal Research Center (CRCHUM), 900 Rue Saint-Denis, Montreal, QC
H2X 0A9, Canada
| | - Audrey Laurence
- Polytechnique Montreal, Dept. of
Engineering Physics, C.P. 6079, Succ. Centre-ville, Montreal, QC H3C
3A7, Canada
- Centre Hospitalier Universitaire de
Montreal Research Center (CRCHUM), 900 Rue Saint-Denis, Montreal, QC
H2X 0A9, Canada
| | - Mirela Birlea
- Centre Hospitalier Universitaire de
Montreal Research Center (CRCHUM), 900 Rue Saint-Denis, Montreal, QC
H2X 0A9, Canada
- University of Montreal, Dept. of Pathology
and Cellular Biology, C.P. 6128, Succ. Centre-ville, Montreal, QC
H3 T 1J4, Canada
| | - Guillaume Sheehy
- Polytechnique Montreal, Dept. of
Engineering Physics, C.P. 6079, Succ. Centre-ville, Montreal, QC H3C
3A7, Canada
- Centre Hospitalier Universitaire de
Montreal Research Center (CRCHUM), 900 Rue Saint-Denis, Montreal, QC
H2X 0A9, Canada
| | - Leticia Angulo-Rodriguez
- Polytechnique Montreal, Dept. of
Engineering Physics, C.P. 6079, Succ. Centre-ville, Montreal, QC H3C
3A7, Canada
| | - Mathieu Latour
- Centre Hospitalier Universitaire de
Montreal Research Center (CRCHUM), 900 Rue Saint-Denis, Montreal, QC
H2X 0A9, Canada
- University of Montreal, Dept. of Pathology
and Cellular Biology, C.P. 6128, Succ. Centre-ville, Montreal, QC
H3 T 1J4, Canada
| | - Roula Albadine
- Centre Hospitalier Universitaire de
Montreal Research Center (CRCHUM), 900 Rue Saint-Denis, Montreal, QC
H2X 0A9, Canada
- University of Montreal, Dept. of Pathology
and Cellular Biology, C.P. 6128, Succ. Centre-ville, Montreal, QC
H3 T 1J4, Canada
| | - Fred Saad
- Centre Hospitalier Universitaire de
Montreal Research Center (CRCHUM), 900 Rue Saint-Denis, Montreal, QC
H2X 0A9, Canada
| | - Dominique Trudel
- Centre Hospitalier Universitaire de
Montreal Research Center (CRCHUM), 900 Rue Saint-Denis, Montreal, QC
H2X 0A9, Canada
- University of Montreal, Dept. of Pathology
and Cellular Biology, C.P. 6128, Succ. Centre-ville, Montreal, QC
H3 T 1J4, Canada
| | - Frédéric Leblond
- Polytechnique Montreal, Dept. of
Engineering Physics, C.P. 6079, Succ. Centre-ville, Montreal, QC H3C
3A7, Canada
- Centre Hospitalier Universitaire de
Montreal Research Center (CRCHUM), 900 Rue Saint-Denis, Montreal, QC
H2X 0A9, Canada
| |
Collapse
|
14
|
Pardo A, Gutiérrez-Gutiérrez JA, López-Higuera JM, Conde OM. Context-free hyperspectral image enhancement for wide-field optical biomarker visualization. BIOMEDICAL OPTICS EXPRESS 2020; 11:133-148. [PMID: 32010505 PMCID: PMC6968753 DOI: 10.1364/boe.11.000133] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/19/2019] [Revised: 10/11/2019] [Accepted: 10/23/2019] [Indexed: 06/10/2023]
Abstract
Many well-known algorithms for the color enhancement of hyperspectral measurements in biomedical imaging are based on statistical assumptions that vary greatly with respect to the proportions of different pixels that appear in a given image, and thus may thwart their application in a surgical environment. This article attempts to explain why this occurs with SVD-based enhancement methods, and proposes the separation of spectral enhancement from analysis. The resulting method, termed affinity-based color enhancement, or ACE for short, achieves multi- and hyperspectral image coloring and contrast based on current spectral affinity metrics that can physically relate spectral data to a particular biomarker. This produces tunable, real-time results which are analogous to the current state-of-the-art algorithms, without suffering any of their inherent context-dependent limitations. Two applications of this method are shown as application examples: vein contrast enhancement and high-precision chromophore concentration estimation.
Collapse
Affiliation(s)
- Arturo Pardo
- Grupo Ingeniería Fotónica, dept. TEISA, Universidad de Cantabria, Avda. Los Castros S/N, 39005 Santander, Cantabria, Spain
- Instituto de Investigación Sanitaria Valdecilla (IDIVAL), 39011 Santander, Cantabria, Spain
| | - José A Gutiérrez-Gutiérrez
- Grupo Ingeniería Fotónica, dept. TEISA, Universidad de Cantabria, Avda. Los Castros S/N, 39005 Santander, Cantabria, Spain
- Instituto de Investigación Sanitaria Valdecilla (IDIVAL), 39011 Santander, Cantabria, Spain
| | - José M López-Higuera
- Grupo Ingeniería Fotónica, dept. TEISA, Universidad de Cantabria, Avda. Los Castros S/N, 39005 Santander, Cantabria, Spain
- Instituto de Investigación Sanitaria Valdecilla (IDIVAL), 39011 Santander, Cantabria, Spain
- Biomedical Research Networking Center - Bioengineering, Biomaterials, and Nanomedicine (CIBER-BBN), Avda. Monforte de Lemos, 3-5, Pabellón 11, Planta 0, 28029 Madrid, Spain
| | - Olga M Conde
- Grupo Ingeniería Fotónica, dept. TEISA, Universidad de Cantabria, Avda. Los Castros S/N, 39005 Santander, Cantabria, Spain
- Instituto de Investigación Sanitaria Valdecilla (IDIVAL), 39011 Santander, Cantabria, Spain
- Biomedical Research Networking Center - Bioengineering, Biomaterials, and Nanomedicine (CIBER-BBN), Avda. Monforte de Lemos, 3-5, Pabellón 11, Planta 0, 28029 Madrid, Spain
| |
Collapse
|
15
|
Fluorescence imaging reversion using spatially variant deconvolution. Sci Rep 2019; 9:18123. [PMID: 31792293 PMCID: PMC6889134 DOI: 10.1038/s41598-019-54578-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2019] [Accepted: 11/09/2019] [Indexed: 12/13/2022] Open
Abstract
Fluorescence imaging opens new possibilities for intraoperative guidance and early cancer detection, in particular when using agents that target specific disease features. Nevertheless, photon scattering in tissue degrades image quality and leads to ambiguity in fluorescence image interpretation and challenges clinical translation. We introduce the concept of capturing the spatially-dependent impulse response of an image and investigate Spatially Adaptive Impulse Response Correction (SAIRC), a method that is proposed for improving the accuracy and sensitivity achieved. Unlike classical methods that presume a homogeneous spatial distribution of optical properties in tissue, SAIRC explicitly measures the optical heterogeneity in tissues. This information allows, for the first time, the application of spatially-dependent deconvolution to correct the fluorescence images captured in relation to their modification by photon scatter. Using experimental measurements from phantoms and animals, we investigate the improvement in resolution and quantification over non-corrected images. We discuss how the proposed method is essential for maximizing the performance of fluorescence molecular imaging in the clinic.
Collapse
|
16
|
Aguénounon E, Dadouche F, Uhring W, Gioux S. Real-time optical properties and oxygenation imaging using custom parallel processing in the spatial frequency domain. BIOMEDICAL OPTICS EXPRESS 2019; 10:3916-3928. [PMID: 31452984 PMCID: PMC6701546 DOI: 10.1364/boe.10.003916] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/06/2019] [Revised: 06/06/2019] [Accepted: 06/11/2019] [Indexed: 05/03/2023]
Abstract
The development of real-time, wide-field and quantitative diffuse optical imaging methods is becoming increasingly popular for biological and medical applications. Recent developments introduced a novel approach for real-time multispectral acquisition in the spatial frequency domain using spatio-temporal modulation of light. Using this method, optical properties maps (absorption and reduced scattering) could be obtained for two wavelengths (665 nm and 860 nm). These maps, in turn, are used to deduce oxygen saturation levels in tissues. However, while the acquisition was performed in real-time, processing was performed post-acquisition and was not in real-time. In the present article, we present CPU and GPU processing implementations for this method with special emphasis on processing time. The obtained results show that the proposed custom direct method using a General Purpose Graphic Processing Unit (GPGPU) and C CUDA (Compute Unified Device Architecture) implementation enables 1.6 milliseconds processing time for a 1 Mega-pixel image with a maximum average error of 0.1% in extracting optical properties.
Collapse
|
17
|
Hernot S, van Manen L, Debie P, Mieog JSD, Vahrmeijer AL. Latest developments in molecular tracers for fluorescence image-guided cancer surgery. Lancet Oncol 2019; 20:e354-e367. [DOI: 10.1016/s1470-2045(19)30317-1] [Citation(s) in RCA: 180] [Impact Index Per Article: 36.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2019] [Revised: 04/16/2019] [Accepted: 04/18/2019] [Indexed: 02/07/2023]
|
18
|
Torabzadeh M, Stockton P, Kennedy GT, Saager RB, Durkin AJ, Bartels RA, Tromberg BJ. Hyperspectral imaging in the spatial frequency domain with a supercontinuum source. JOURNAL OF BIOMEDICAL OPTICS 2019; 24:1-9. [PMID: 31271005 PMCID: PMC6995957 DOI: 10.1117/1.jbo.24.7.071614] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/01/2018] [Accepted: 05/31/2019] [Indexed: 05/06/2023]
Abstract
We introduce a method for quantitative hyperspectral optical imaging in the spatial frequency domain (hs-SFDI) to image tissue absorption (μa) and reduced scattering (μs') parameters over a broad spectral range. The hs-SFDI utilizes principles of spatial scanning of the spectrally dispersed output of a supercontinuum laser that is sinusoidally projected onto the tissue using a digital micromirror device. A scientific complementary metal-oxide-semiconductor camera is used for capturing images that are demodulated and analyzed using SFDI computational models. The hs-SFDI performance is validated using tissue-simulating phantoms over a range of μa and μs' values. Quantitative hs-SFDI images are obtained from an ex-vivo beef sample to spatially resolve concentrations of oxy-, deoxy-, and met-hemoglobin, as well as water and fat fractions. Our results demonstrate that the hs-SFDI can quantitatively image tissue optical properties with 1000 spectral bins in the 580- to 950-nm range over a wide, scalable field of view. With an average accuracy of 6.7% and 12.3% in μa and μs', respectively, compared to conventional methods, hs-SFDI offers a promising approach for quantitative hyperspectral tissue optical imaging.
Collapse
Affiliation(s)
- Mohammad Torabzadeh
- Beckman Laser Institute, Laser Microbeam and Medical Program, Irvine, California, United States
- University of California Irvine, Department of Biomedical Engineering, Irvine, California, United States
| | - Patrick Stockton
- Colorado State University, School of Biomedical Engineering, Fort Collins, Colorado, United States
| | - Gordon T. Kennedy
- Beckman Laser Institute, Laser Microbeam and Medical Program, Irvine, California, United States
| | - Rolf B. Saager
- Linköping University, Department of Biomedical Engineering, Linköping, Sweden
| | - Anthony J. Durkin
- Beckman Laser Institute, Laser Microbeam and Medical Program, Irvine, California, United States
- University of California Irvine, Department of Biomedical Engineering, Irvine, California, United States
| | - Randy A. Bartels
- Colorado State University, School of Biomedical Engineering, Fort Collins, Colorado, United States
| | - Bruce J. Tromberg
- Beckman Laser Institute, Laser Microbeam and Medical Program, Irvine, California, United States
- University of California Irvine, Department of Biomedical Engineering, Irvine, California, United States
- Address all correspondence to Bruce J. Tromberg, E-mail:
| |
Collapse
|
19
|
Valdes PA, Juvekar P, Agar NYR, Gioux S, Golby AJ. Quantitative Wide-Field Imaging Techniques for Fluorescence Guided Neurosurgery. Front Surg 2019; 6:31. [PMID: 31245380 PMCID: PMC6563771 DOI: 10.3389/fsurg.2019.00031] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2019] [Accepted: 05/15/2019] [Indexed: 11/26/2022] Open
Abstract
Fluorescence guided surgery (FGS) has fueled the development of novel technologies aimed at maximizing the utility of fluorescence imaging to help clinicians diagnose and in certain cases treat diseases across a breadth of disciplines such as dermatology, gynecology, oncology, ophthalmology, and neurosurgery. In neurosurgery, the goal of FGS technologies is to provide the neurosurgeon with additional information which can serve as a visual aid to better identify tumor tissue and associated margins. Yet, current clinical FGS technologies are qualitative in nature, limiting the ability to make accurate, reliable, and repeatable measurements. To this end, developments in fluorescence quantification are needed to overcome current limitations of FGS. Here we present an overview of the recent developments in quantitative fluorescence guidance technologies and conclude with the most recent developments aimed at wide-field quantitative fluorescence imaging approaches in neurosurgery.
Collapse
Affiliation(s)
- Pablo A Valdes
- Department of Neurosurgery, Harvard Medical School, Brigham and Women's Hospital, Boston, MA, United States
| | - Parikshit Juvekar
- Department of Neurosurgery, Harvard Medical School, Brigham and Women's Hospital, Boston, MA, United States
| | - Nathalie Y R Agar
- Department of Neurosurgery, Harvard Medical School, Brigham and Women's Hospital, Boston, MA, United States
| | - Sylvain Gioux
- ICube Laboratory, University of Strasbourg, Télécom Physique Strasbourg, Alsace, France
| | - Alexandra J Golby
- Department of Neurosurgery, Harvard Medical School, Brigham and Women's Hospital, Boston, MA, United States
| |
Collapse
|
20
|
Gioux S, Mazhar A, Cuccia DJ. Spatial frequency domain imaging in 2019: principles, applications, and perspectives. JOURNAL OF BIOMEDICAL OPTICS 2019; 24:1-18. [PMID: 31222987 PMCID: PMC6995958 DOI: 10.1117/1.jbo.24.7.071613] [Citation(s) in RCA: 62] [Impact Index Per Article: 12.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/08/2019] [Accepted: 05/09/2019] [Indexed: 05/20/2023]
Abstract
Spatial frequency domain imaging (SFDI) has witnessed very rapid growth over the last decade, owing to its unique capabilities for imaging optical properties and chromophores over a large field-of-view and in a rapid manner. We provide a comprehensive review of the principles of this imaging method as of 2019, review the modeling of light propagation in this domain, describe acquisition methods, provide an understanding of the various implementations and their practical limitations, and finally review applications that have been published in the literature. Importantly, we also introduce a group effort by several key actors in the field for the dissemination of SFDI, including publications, advice in hardware and implementations, and processing code, all freely available online.
Collapse
Affiliation(s)
- Sylvain Gioux
- University of Strasbourg, ICube Laboratory, Strasbourg, France
- Address all correspondence to Sylvain Gioux, E-mail:
| | | | | |
Collapse
|
21
|
Gioux S, Mazhar A, Cuccia DJ. Spatial frequency domain imaging in 2019: principles, applications, and perspectives. JOURNAL OF BIOMEDICAL OPTICS 2019. [PMID: 31222987 DOI: 10.1117/1] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 05/06/2023]
Abstract
Spatial frequency domain imaging (SFDI) has witnessed very rapid growth over the last decade, owing to its unique capabilities for imaging optical properties and chromophores over a large field-of-view and in a rapid manner. We provide a comprehensive review of the principles of this imaging method as of 2019, review the modeling of light propagation in this domain, describe acquisition methods, provide an understanding of the various implementations and their practical limitations, and finally review applications that have been published in the literature. Importantly, we also introduce a group effort by several key actors in the field for the dissemination of SFDI, including publications, advice in hardware and implementations, and processing code, all freely available online.
Collapse
Affiliation(s)
- Sylvain Gioux
- University of Strasbourg, ICube Laboratory, Strasbourg, France
| | | | | |
Collapse
|
22
|
Almiron Bonnin DA, Havrda MC, Lee MC, Evans L, Ran C, Qian DC, Harrington LX, Valdes PA, Cheng C, Amos CI, Harris BT, Paulsen KD, Roberts DW, Israel MA. Characterizing the heterogeneity in 5-aminolevulinic acid-induced fluorescence in glioblastoma. J Neurosurg 2019; 132:1706-1714. [PMID: 31125970 DOI: 10.3171/2019.2.jns183128] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/11/2018] [Accepted: 02/22/2019] [Indexed: 12/15/2022]
Abstract
OBJECTIVE 5-aminolevulinic acid (5-ALA)-induced protoporphyrin IX (PpIX) fluorescence is an effective surgical adjunct for the intraoperative identification of tumor tissue during resection of high-grade gliomas. The use of 5-ALA-induced PpIX fluorescence in glioblastoma (GBM) has been shown to double the extent of gross-total resection and 6-month progression-free survival. The heterogeneity of 5-ALA-induced PpIX fluorescence observed during surgery presents a technical and diagnostic challenge when utilizing this tool intraoperatively. While some regions show bright fluorescence after 5-ALA administration, other regions do not, despite that both regions of the tumor may be histopathologically indistinguishable. The authors examined the biological basis of this heterogeneity using computational methods. METHODS The authors collected both fluorescent and nonfluorescent GBM specimens from a total of 14 patients undergoing surgery and examined their gene expression profiles. RESULTS In this study, the authors found that the gene expression patterns characterizing fluorescent and nonfluorescent GBM surgical specimens were profoundly different and were associated with distinct cellular functions and different biological pathways. Nonfluorescent tumor tissue tended to resemble the neural subtype of GBM; meanwhile, fluorescent tumor tissue did not exhibit a prominent pattern corresponding to known subtypes of GBM. Consistent with this observation, neural GBM samples from The Cancer Genome Atlas database exhibited a significantly lower fluorescence score than nonneural GBM samples as determined by a fluorescence gene signature developed by the authors. CONCLUSIONS These results provide a greater understanding regarding the biological basis of differential fluorescence observed intraoperatively and can provide a basis to identify novel strategies to maximize the effectiveness of fluorescence agents.
Collapse
Affiliation(s)
- Damian A Almiron Bonnin
- 1Department of Molecular and Systems Biology, Geisel School of Medicine at Dartmouth, Hanover.,2Norris Cotton Cancer Center, Geisel School of Medicine at Dartmouth, Lebanon
| | - Matthew C Havrda
- 1Department of Molecular and Systems Biology, Geisel School of Medicine at Dartmouth, Hanover.,2Norris Cotton Cancer Center, Geisel School of Medicine at Dartmouth, Lebanon
| | - Myung Chang Lee
- 2Norris Cotton Cancer Center, Geisel School of Medicine at Dartmouth, Lebanon.,3Department of Biology, Dartmouth College, Hanover
| | - Linton Evans
- 4Department of Surgery (Neurosurgery), Geisel School of Medicine at Dartmouth, Hanover.,5Department of Neurosurgery, Dartmouth-Hitchcock Medical Center, Lebanon
| | - Cong Ran
- 1Department of Molecular and Systems Biology, Geisel School of Medicine at Dartmouth, Hanover.,2Norris Cotton Cancer Center, Geisel School of Medicine at Dartmouth, Lebanon
| | - David C Qian
- 6Department of Biomedical Data Science, Geisel School of Medicine at Dartmouth, Hanover, New Hampshire
| | - Lia X Harrington
- 6Department of Biomedical Data Science, Geisel School of Medicine at Dartmouth, Hanover, New Hampshire
| | - Pablo A Valdes
- 7Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts
| | - Chao Cheng
- 1Department of Molecular and Systems Biology, Geisel School of Medicine at Dartmouth, Hanover.,2Norris Cotton Cancer Center, Geisel School of Medicine at Dartmouth, Lebanon.,6Department of Biomedical Data Science, Geisel School of Medicine at Dartmouth, Hanover, New Hampshire
| | - Chris I Amos
- 1Department of Molecular and Systems Biology, Geisel School of Medicine at Dartmouth, Hanover.,2Norris Cotton Cancer Center, Geisel School of Medicine at Dartmouth, Lebanon.,6Department of Biomedical Data Science, Geisel School of Medicine at Dartmouth, Hanover, New Hampshire
| | - Brent T Harris
- 8Department of Pathology, Georgetown University Medical Center, Washington, DC
| | - Keith D Paulsen
- 2Norris Cotton Cancer Center, Geisel School of Medicine at Dartmouth, Lebanon.,4Department of Surgery (Neurosurgery), Geisel School of Medicine at Dartmouth, Hanover.,5Department of Neurosurgery, Dartmouth-Hitchcock Medical Center, Lebanon.,9Thayer School of Engineering, Dartmouth College, Hanover
| | - David W Roberts
- 2Norris Cotton Cancer Center, Geisel School of Medicine at Dartmouth, Lebanon.,4Department of Surgery (Neurosurgery), Geisel School of Medicine at Dartmouth, Hanover.,5Department of Neurosurgery, Dartmouth-Hitchcock Medical Center, Lebanon.,9Thayer School of Engineering, Dartmouth College, Hanover
| | - Mark A Israel
- 1Department of Molecular and Systems Biology, Geisel School of Medicine at Dartmouth, Hanover.,2Norris Cotton Cancer Center, Geisel School of Medicine at Dartmouth, Lebanon.,10Department of Medicine, Geisel School of Medicine at Dartmouth, Hanover; and.,11Department of Pediatrics, Geisel School of Medicine at Dartmouth, Hanover, New Hampshire
| |
Collapse
|
23
|
Gutiérrez-Gutiérrez JA, Pardo A, Real E, López-Higuera JM, Conde OM. Custom Scanning Hyperspectral Imaging System for Biomedical Applications: Modeling, Benchmarking, and Specifications. SENSORS 2019; 19:s19071692. [PMID: 30970657 PMCID: PMC6479616 DOI: 10.3390/s19071692] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/22/2019] [Revised: 03/27/2019] [Accepted: 04/05/2019] [Indexed: 11/16/2022]
Abstract
Prototyping hyperspectral imaging devices in current biomedical optics research requires taking into consideration various issues regarding optics, imaging, and instrumentation. In summary, an ideal imaging system should only be limited by exposure time, but there will be technological limitations (e.g., actuator delay and backlash, network delays, or embedded CPU speed) that should be considered, modeled, and optimized. This can be achieved by constructing a multiparametric model for the imaging system in question. The article describes a rotating-mirror scanning hyperspectral imaging device, its multiparametric model, as well as design and calibration protocols used to achieve its optimal performance. The main objective of the manuscript is to describe the device and review this imaging modality, while showcasing technical caveats, models and benchmarks, in an attempt to simplify and standardize specifications, as well as to incentivize prototyping similar future designs.
Collapse
Affiliation(s)
- José A Gutiérrez-Gutiérrez
- Photonics Engineering Group, Universidad de Cantabria, 39006 Santander, Cantabria, Spain.
- Instituto de Investigación Sanitaria Valdecilla (IDIVAL), 39011 Santander, Cantabria, Spain.
| | - Arturo Pardo
- Photonics Engineering Group, Universidad de Cantabria, 39006 Santander, Cantabria, Spain.
- Instituto de Investigación Sanitaria Valdecilla (IDIVAL), 39011 Santander, Cantabria, Spain.
| | - Eusebio Real
- Photonics Engineering Group, Universidad de Cantabria, 39006 Santander, Cantabria, Spain.
- Instituto de Investigación Sanitaria Valdecilla (IDIVAL), 39011 Santander, Cantabria, Spain.
| | - José M López-Higuera
- Photonics Engineering Group, Universidad de Cantabria, 39006 Santander, Cantabria, Spain.
- Instituto de Investigación Sanitaria Valdecilla (IDIVAL), 39011 Santander, Cantabria, Spain.
- Biomedical Research Networking Center-Bioengineering, Biomaterials, and Nanomedicine (CIBER-BBN), Av. Monforte de Lemos, 3-5. Pabellón 11. Planta 0 28029 Madrid, Spain.
| | - Olga M Conde
- Photonics Engineering Group, Universidad de Cantabria, 39006 Santander, Cantabria, Spain.
- Instituto de Investigación Sanitaria Valdecilla (IDIVAL), 39011 Santander, Cantabria, Spain.
- Biomedical Research Networking Center-Bioengineering, Biomaterials, and Nanomedicine (CIBER-BBN), Av. Monforte de Lemos, 3-5. Pabellón 11. Planta 0 28029 Madrid, Spain.
| |
Collapse
|
24
|
Aguénounon E, Dadouche F, Uhring W, Gioux S. Single snapshot of optical properties image quality improvement using anisotropic two-dimensional windows filtering. JOURNAL OF BIOMEDICAL OPTICS 2019; 24:1-21. [PMID: 30927346 PMCID: PMC6996016 DOI: 10.1117/1.jbo.24.7.071611] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/18/2018] [Accepted: 02/12/2019] [Indexed: 05/04/2023]
Abstract
Imaging methods permitting real-time, wide-field, and quantitative optical mapping of biological tissue properties offer an unprecedented range of applications for clinical use. Following the development of spatial frequency domain imaging, we introduce a real-time demodulation method called single snapshot of optical properties (SSOPs). However, since this method uses only a single image to generate absorption and reduced scattering maps, it was limited by a degraded image quality resulting in artifacts that diminished its potential for clinical use. We present filtering strategies for improving the image quality of optical properties maps obtained using SSOPs. We investigate the effect of anisotropic two-dimensional filtering strategies for spatial frequencies ranging from 0.1 to 0.4 mm - 1 directly onto N = 10 hands. Both accuracy and image quality of the optical properties are quantified in comparison with standard, multiple image acquisitions in the spatial frequency domain. Overall, using optimized filters, mean errors in predicting optical properties using SSOP remain under 8.8% in absorption and 7.5% in reduced scattering, while significantly improving image quality. Overall this work contributes to advance real-time, wide-field, and quantitative diffuse optical imaging toward clinical evaluation.
Collapse
Affiliation(s)
| | - Foudil Dadouche
- University of Strasbourg, ICube Laboratory, Illkirch, France
| | - Wilfried Uhring
- University of Strasbourg, ICube Laboratory, Illkirch, France
| | - Sylvain Gioux
- University of Strasbourg, ICube Laboratory, Illkirch, France
- Address all correspondence to Sylvain Gioux, E-mail:
| |
Collapse
|
25
|
5-aminolevulinic acid induced protoporphyrin IX (ALA-PpIX) fluorescence guidance in meningioma surgery. J Neurooncol 2019; 141:555-565. [PMID: 30604395 DOI: 10.1007/s11060-018-03079-7] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2018] [Accepted: 12/12/2018] [Indexed: 10/27/2022]
Abstract
INTRODUCTION 5-aminolevulinic acid induced protoporphyrin IX (5-ALA-PpIX) fluorescence guidance has emerged as a valuable surgical adjunct for resection of intracranial tumors. METHODS Here we present a focused review on 5-ALA-PpIX fluorescence guidance for meningiomas. RESULTS We discuss the clinical studies and specific applications to date as well as the two main intraoperative fluorescence technologies applied to meningiomas. CONCLUSIONS The use of 5-ALA-PpIX in meningiomas holds promising potential so neurosurgeons can improve surgical outcomes for patients with meningiomas as well as be pioneers in developing improved fluorescence imaging technologies.
Collapse
|
26
|
Panigrahi S, Gioux S. Machine learning approach for rapid and accurate estimation of optical properties using spatial frequency domain imaging. JOURNAL OF BIOMEDICAL OPTICS 2018; 24:1-6. [PMID: 30550050 PMCID: PMC6995874 DOI: 10.1117/1.jbo.24.7.071606] [Citation(s) in RCA: 32] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/20/2018] [Accepted: 10/16/2018] [Indexed: 05/03/2023]
Abstract
Fast estimation of optical properties from reflectance measurements at two spatial frequencies could pave way for real-time, wide-field and quantitative mapping of vital signs of tissues. We present a machine learning-based approach for estimating optical properties in the spatial frequency domain, where a random forest regression algorithm is trained over data obtained from Monte-Carlo photon transport simulations. The algorithm learns the nonlinear mapping between diffuse reflectance at two spatial frequencies, and the absorption and reduced scattering coefficient of the tissue under consideration. Using this method, absorption and reduced scattering properties could be obtained over a 1 megapixel image in 450 ms with errors as low as 0.556% in absorption and 0.126% in reduced scattering.
Collapse
Affiliation(s)
| | - Sylvain Gioux
- University of Strasbourg, ICube Laboratory, Strasbourg, France
- Address all correspondence to: Sylvain Gioux, E-mail:
| |
Collapse
|
27
|
Tummers WS, Warram JM, van den Berg NS, Miller SE, Swijnenburg RJ, Vahrmeijer AL, Rosenthal EL. Recommendations for reporting on emerging optical imaging agents to promote clinical approval. Am J Cancer Res 2018; 8:5336-5347. [PMID: 30555550 PMCID: PMC6276089 DOI: 10.7150/thno.27384] [Citation(s) in RCA: 49] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2018] [Accepted: 08/22/2018] [Indexed: 01/12/2023] Open
Abstract
Intraoperative fluorescence imaging is particularly well-suited for surgical applications due to its inherently high sensitivity, resolution, and ability to provide images in real-time. To date, the intraoperative observation of fluorescence has largely been subjective. With the need to show objective evidence in order to demonstrate the benefit of this technique, quantitative data needs to be provided to overseeing regulatory bodies. Standardization of fluorescence imaging protocols would improve reproducibility and minimize inter- and intra-institution variance. This would allow studies to be conducted using the same injection techniques, imaging times, reconstruction methods, and analyses. Here, we provide recommendations for standardized methodologies with the goal of setting a minimum requirement for reporting fluorescence-guided surgery results based on both qualitative and (semi-) quantitative data collection. Clinical trials using fluorescence-guided surgery should present results of three critical elements; 1) intra-operative imaging, 2) specimen mapping and pathology correlation, and 3) target validation. Qualitative analyses should consist of a bright field image, black-and-white fluorescence image, pseudo-colored fluorescence overlay image, and/or heat-map whereby fluorescence signal intensity differences are displayed on a color spectrum. Quantitative analyses should include 1) intraoperative data (consisting of images or video, raw numeric values and ratios); 2) specimen mapping, for correlation of fluorescence with the presence of disease (performed using fresh tissue); and 3) target validation (designed to determine fluorescence intensity relative to receptor density of a specific area). Including the aforementioned methods of both qualitative and quantitative analyses will ensure that trial results are comparable and could be collated in future studies to expedite FDA approval.
Collapse
|
28
|
Angelo JP, Chen SJ, Ochoa M, Sunar U, Gioux S, Intes X. Review of structured light in diffuse optical imaging. JOURNAL OF BIOMEDICAL OPTICS 2018; 24:1-20. [PMID: 30218503 PMCID: PMC6676045 DOI: 10.1117/1.jbo.24.7.071602] [Citation(s) in RCA: 47] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/06/2018] [Accepted: 05/31/2018] [Indexed: 05/11/2023]
Abstract
Diffuse optical imaging probes deep living tissue enabling structural, functional, metabolic, and molecular imaging. Recently, due to the availability of spatial light modulators, wide-field quantitative diffuse optical techniques have been implemented, which benefit greatly from structured light methodologies. Such implementations facilitate the quantification and characterization of depth-resolved optical and physiological properties of thick and deep tissue at fast acquisition speeds. We summarize the current state of work and applications in the three main techniques leveraging structured light: spatial frequency-domain imaging, optical tomography, and single-pixel imaging. The theory, measurement, and analysis of spatial frequency-domain imaging are described. Then, advanced theories, processing, and imaging systems are summarized. Preclinical and clinical applications on physiological measurements for guidance and diagnosis are summarized. General theory and method development of tomographic approaches as well as applications including fluorescence molecular tomography are introduced. Lastly, recent developments of single-pixel imaging methodologies and applications are reviewed.
Collapse
Affiliation(s)
- Joseph P. Angelo
- National Institute of Standards and Technology, Sensor Science Division, Gaithersburg, Maryland, United States
- Address all correspondence to: Joseph P. Angelo, E-mail: ; Sez-Jade Chen, E-mail:
| | - Sez-Jade Chen
- Rensselaer Polytechnic Institute, Department of Biomedical Engineering, Troy, New York, United States
- Address all correspondence to: Joseph P. Angelo, E-mail: ; Sez-Jade Chen, E-mail:
| | - Marien Ochoa
- Rensselaer Polytechnic Institute, Department of Biomedical Engineering, Troy, New York, United States
| | - Ulas Sunar
- Wright State University, Department of Biomedical Industrial and Human Factor Engineering, Dayton, Ohio, United States
| | - Sylvain Gioux
- University of Strasbourg, ICube Laboratory, Strasbourg, France
| | - Xavier Intes
- Rensselaer Polytechnic Institute, Department of Biomedical Engineering, Troy, New York, United States
| |
Collapse
|
29
|
Optical Characterization of Neurosurgical Operating Microscopes: Quantitative Fluorescence and Assessment of PpIX Photobleaching. Sci Rep 2018; 8:12543. [PMID: 30135440 PMCID: PMC6105612 DOI: 10.1038/s41598-018-30247-6] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2018] [Accepted: 07/25/2018] [Indexed: 01/01/2023] Open
Abstract
Protoporphyrin IX (PpIX) induced by 5-aminolevulinic acid (5-ALA) is increasingly used as a fluorescent marker for fluorescence-guided resection of malignant gliomas. Understanding how the properties of the excitation light source and PpIX fluorescence interact with the surgical microscope is critical for effective use of the fluorescence-guided tumor resection technique. In this study, we performed a detailed assessment of the intensity of the emitted blue light and white light and the light beam profile of clinical grade operating microscopes used for PpIX visualization. These measurements revealed both recognized fluorescence photobleaching limitations and unrecognized limitations that may alter quantitative observations of PpIX fluorescence obtained with the operating microscope with potential impact on research and clinical uses. We also evaluated the optical properties of a photostable fluorescent standard with an excitation-emission profile similar to PpIX. In addition, we measured the time-dependent dynamics of 5-ALA-induced PpIX fluorescence in an animal glioma model. Finally, we developed a ratiometric method for quantification of the PpIX fluorescence that uses the photostable fluorescent standard to normalize PpIX fluorescence intensity. This method increases accuracy and allows reproducible and direct comparability of the measurements from multiple samples.
Collapse
|
30
|
Honda N, Ishii K, Kajimoto Y, Kuroiwa T, Awazu K. Determination of optical properties of human brain tumor tissues from 350 to 1000 nm to investigate the cause of false negatives in fluorescence-guided resection with 5-aminolevulinic acid. JOURNAL OF BIOMEDICAL OPTICS 2018; 23:1-10. [PMID: 30006993 DOI: 10.1117/1.jbo.23.7.075006] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/09/2017] [Accepted: 06/22/2018] [Indexed: 05/18/2023]
Abstract
The optical properties of human brain tumor tissues, including glioblastoma, meningioma, oligodendroglioma, and metastasis, that were classified into "strong," "vague," and "unobservable" fluorescence by a neurosurgeon were measured and compared. The optical properties of the tissues were measured with a double integrating sphere and the inverse Monte Carlo technique from 350 to 1000 nm. Using reasons of ex-vivo measurement, the optical properties at around 420 nm were potentially affected by the hemoglobin content in tissues. Significant differences were not observed between the optical properties of the glioblastoma regions with "strong" and "unobservable" fluorescence. Sections of human brain tumor tissue with "strong" and "unobservable" fluorescence were stained with hematoxylin and eosin. The cell densities [mean ± standard deviation (S.D.)] in regions with "strong" and "unobservable" fluorescence were 31 ± 9 × 102 per mm2 and 12 ± 4 × 102 per mm2, respectively, which is a statistically significant difference. The higher fluorescence intensity is associated with higher cell density. The difference in cell density modified the scattering coefficient yet it does not lead to significant differences in the reduced scattering coefficient and thus does not affect the propagation of the diffuse fluorescent light. Hence, the false negatives, which mean a brain tumor only shows "unobservable" fluorescence and is hence classified incorrectly as nontumor, in using 5-ALA for detection of human glioblastoma do not result from the differences in optical properties of human brain glioblastoma tissues. Our results suggest that the primary cause of false negatives may be a lack of PpIX or a low accumulation of PpIX.
Collapse
|
31
|
Sadeghipour N, Davis SC, Tichauer KM. Correcting for targeted and control agent signal differences in paired-agent molecular imaging of cancer cell-surface receptors. JOURNAL OF BIOMEDICAL OPTICS 2018; 23:1-11. [PMID: 29931837 PMCID: PMC6013418 DOI: 10.1117/1.jbo.23.6.066004] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/25/2018] [Accepted: 05/31/2018] [Indexed: 05/05/2023]
Abstract
Paired-agent kinetic modeling protocols provide one means of estimating cancer cell-surface receptors with in vivo molecular imaging. The protocols employ the coadministration of a control imaging agent with one or more targeted imaging agent to account for the nonspecific uptake and retention of the targeted agent. These methods require the targeted and control agent data be converted to equivalent units of concentration, typically requiring specialized equipment and calibration, and/or complex algorithms that raise the barrier to adoption. This work evaluates a kinetic model capable of correcting for targeted and control agent signal differences. This approach was compared with an existing simplified paired-agent model (SPAM), and modified SPAM that accounts for signal differences by early time point normalization of targeted and control signals (SPAMPN). The scaling factor model (SPAMSF) outperformed both SPAM and SPAMPN in terms of accuracy and precision when the scale differences between targeted and imaging agent signals (α) were not equal to 1, and it matched the performance of SPAM for α = 1. This model could have wide-reaching implications for quantitative cancer receptor imaging using any imaging modalities, or combinations of imaging modalities, capable of concurrent detection of at least two distinct imaging agents (e.g., SPECT, optical, and PET/MR).
Collapse
Affiliation(s)
- Negar Sadeghipour
- Illinois Institute of Technology, Biomedical Engineering, Chicago, Illinois, United States
| | - Scott C. Davis
- Thayer School of Engineering, Dartmouth College, Hanover, New Hampshire, United States
| | - Kenneth M. Tichauer
- Illinois Institute of Technology, Biomedical Engineering, Chicago, Illinois, United States
- Address all correspondence to: Kenneth M. Tichauer, E-mail:
| |
Collapse
|
32
|
Stepp H, Stummer W. 5‐ALA in the management of malignant glioma. Lasers Surg Med 2018; 50:399-419. [DOI: 10.1002/lsm.22933] [Citation(s) in RCA: 117] [Impact Index Per Article: 19.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/06/2018] [Indexed: 12/13/2022]
Affiliation(s)
- Herbert Stepp
- LIFE Center and Department of UrologyUniversity Hospital of MunichFeodor‐Lynen‐Str. 1981377MunichGermany
| | - Walter Stummer
- Department of NeurosurgeryUniversity Clinic MünsterAlbert‐Schweitzer‐Campus 1, Gebäude A148149MünsterGermany
| |
Collapse
|
33
|
A dual-channel endoscope for quantitative imaging, monitoring, and triggering of doxorubicin release from liposomes in living mice. Sci Rep 2017; 7:15578. [PMID: 29138489 PMCID: PMC5686102 DOI: 10.1038/s41598-017-15790-y] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2017] [Accepted: 11/01/2017] [Indexed: 12/22/2022] Open
Abstract
Doxorubicin (Dox) is approved for use in liposomal form for the treatment of ovarian cancer. We previously developed a long-circulating Dox formulation in liposomes containing small amounts of porphyrin-phospholipid, which enables on-demand drug release with near-infrared irradiation. In this study, we present and evaluate a dual-modal, dual-channel light endoscope that allows quantitative reflectance and fluorescence imaging for monitoring of local Dox concentrations in target areas. The endoscope consists of two flexible imaging fibers; one to transmit diagnostic and therapeutic light to the target, and the other to detect fluorescent and reflected light. Thus, the endoscope serves for imaging, for light delivery to trigger drug release, and for monitoring drug concentration kinetics during drug release. We characterized the performance of this endoscope in tissue phantoms and in an in vivo model of ovarian cancer. This study demonstrates the feasibility of non-invasive, quantitative mapping of Dox distribution in vivo via endoscopic imaging.
Collapse
|
34
|
Angelo JP, van de Giessen M, Gioux S. Real-time endoscopic optical properties imaging. BIOMEDICAL OPTICS EXPRESS 2017; 8:5113-5126. [PMID: 29188107 PMCID: PMC5695957 DOI: 10.1364/boe.8.005113] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/07/2017] [Revised: 10/11/2017] [Accepted: 10/11/2017] [Indexed: 05/18/2023]
Abstract
With almost 50% of all surgeries in the U.S. being performed as minimally invasive procedures, there is a need to develop quantitative endoscopic imaging techniques to aid surgical guidance. Recent developments in widefield optical imaging make endoscopic implementations of real-time measurement possible. In this work, we introduce a proof-of-concept endoscopic implementation of a functional widefield imaging technique called 3D single snapshot of optical properties (3D-SSOP) that provides quantitative maps of absorption and reduced scattering optical properties as well as surface topography with simple instrumentation added to a commercial endoscope. The system's precision and accuracy is validated using tissue-mimicking phantoms, showing a max error of 0.004 mm-1, 0.05 mm-1, and 1.1 mm for absorption, reduced scattering, and sample topography, respectively. This study further demonstrates video acquisition of a moving phantom and an in vivo sample with a framerate of approximately 11 frames per second.
Collapse
Affiliation(s)
- Joseph P. Angelo
- Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA 02215, USA
- Department of Biomedical Engineering Boston University, Boston, MA 02215, USA
| | | | - Sylvain Gioux
- Department of Surgery, Beth Israel Deaconess Medical Center, Boston, MA 02215, USA
- ICube Laboratory, University of Strasbourg, 300 Bd S. Brant, Illkirch, 67412 France
| |
Collapse
|