1
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Kalutantirige FC, He J, Yao L, Cotty S, Zhou S, Smith JW, Tajkhorshid E, Schroeder CM, Moore JS, An H, Su X, Li Y, Chen Q. Beyond nothingness in the formation and functional relevance of voids in polymer films. Nat Commun 2024; 15:2852. [PMID: 38605028 PMCID: PMC11009415 DOI: 10.1038/s41467-024-46584-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2023] [Accepted: 03/04/2024] [Indexed: 04/13/2024] Open
Abstract
Voids-the nothingness-broadly exist within nanomaterials and impact properties ranging from catalysis to mechanical response. However, understanding nanovoids is challenging due to lack of imaging methods with the needed penetration depth and spatial resolution. Here, we integrate electron tomography, morphometry, graph theory and coarse-grained molecular dynamics simulation to study the formation of interconnected nanovoids in polymer films and their impacts on permeance and nanomechanical behaviour. Using polyamide membranes for molecular separation as a representative system, three-dimensional electron tomography at nanometre resolution reveals nanovoid formation from coalescence of oligomers, supported by coarse-grained molecular dynamics simulations. Void analysis provides otherwise inaccessible inputs for accurate fittings of methanol permeance for polyamide membranes. Three-dimensional structural graphs accounting for the tortuous nanovoids within, measure higher apparent moduli with polyamide membranes of higher graph rigidity. Our study elucidates the significance of nanovoids beyond the nothingness, impacting the synthesis‒morphology‒function relationships of complex nanomaterials.
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Affiliation(s)
| | - Jinlong He
- Department of Mechanical Engineering, University of Wisconsin-Madison, Madison, WI, 53706, USA
| | - Lehan Yao
- Department of Materials Science and Engineering, University of Illinois, Urbana, IL, 61801, USA
| | - Stephen Cotty
- Department of Chemical and Biomolecular Engineering, University of Illinois, Urbana, IL, 61801, USA
| | - Shan Zhou
- Department of Materials Science and Engineering, University of Illinois, Urbana, IL, 61801, USA
| | - John W Smith
- Department of Materials Science and Engineering, University of Illinois, Urbana, IL, 61801, USA
| | - Emad Tajkhorshid
- Department of Biochemistry, University of Illinois, Urbana, IL, 61801, USA
- NIH Resource for Macromolecular Modelling and Visualization, Beckman Institute for Advanced Science and Technology, University of Illinois, Urbana, IL, 61801, USA
| | - Charles M Schroeder
- Department of Materials Science and Engineering, University of Illinois, Urbana, IL, 61801, USA
- Department of Chemical and Biomolecular Engineering, University of Illinois, Urbana, IL, 61801, USA
- Materials Research Laboratory, University of Illinois, Urbana, IL, 61801, USA
- Beckman Institute for Advanced Science and Technology, University of Illinois, Urbana, IL, 61801, USA
| | - Jeffrey S Moore
- Department of Chemistry, University of Illinois, Urbana, IL, 61801, USA
- Department of Materials Science and Engineering, University of Illinois, Urbana, IL, 61801, USA
- Beckman Institute for Advanced Science and Technology, University of Illinois, Urbana, IL, 61801, USA
| | - Hyosung An
- Department of Petrochemical Materials Engineering, Chonnam National University, Yeosu, Jeollanam-do, 59631, South Korea
| | - Xiao Su
- Department of Chemical and Biomolecular Engineering, University of Illinois, Urbana, IL, 61801, USA
| | - Ying Li
- Department of Mechanical Engineering, University of Wisconsin-Madison, Madison, WI, 53706, USA.
| | - Qian Chen
- Department of Chemistry, University of Illinois, Urbana, IL, 61801, USA.
- Department of Materials Science and Engineering, University of Illinois, Urbana, IL, 61801, USA.
- Department of Chemical and Biomolecular Engineering, University of Illinois, Urbana, IL, 61801, USA.
- Materials Research Laboratory, University of Illinois, Urbana, IL, 61801, USA.
- Beckman Institute for Advanced Science and Technology, University of Illinois, Urbana, IL, 61801, USA.
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2
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Zhang W, Zhou H, Tao Y, Zhu F, He B, Liu N, Chen J, Xue P. Size correction and deep image optimization in optical coherence tomography angiography with structural image-assisted common parts extraction method. JOURNAL OF BIOPHOTONICS 2024; 17:e202300259. [PMID: 37755063 DOI: 10.1002/jbio.202300259] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/05/2023] [Revised: 09/20/2023] [Accepted: 09/25/2023] [Indexed: 09/28/2023]
Abstract
Tail artifact elimination is essential in optical coherence tomography angiography (OCTA) for the artifacts will prevent the reconstruction of the 3D vessel image. The tail artifacts of superficial vessels obscure the deep vascular signals and cause the signals at different depths to mix with each other. Most tail artifact elimination methods can shorten the tails but have difficulty in determining the lower boundary of the vessels. In this letter, we introduce a technique to extract vascular signals with more accurate vascular boundaries. With the help of structural image, our method can reconstruct the 3D image of the vascular network more precisely and perform better in deep areas. The images of vessels of palm are used to compare our new technique with previous common parts extraction method experimentally. The results show that our method removes the tail artifacts more thoroughly and has a significant advantage in imaging deep vessels.
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Affiliation(s)
- Wenxin Zhang
- College of Electronic and Optical Engineering & College of Flexible Electronics (Future Technology), Nanjing University of Posts and Telecommunications, Nanjing, China
- State Key Laboratory of Low-dimensional Quantum Physics and Department of Physics, Tsinghua University, Beijing, China
| | - Hong Zhou
- College of Electronic and Optical Engineering & College of Flexible Electronics (Future Technology), Nanjing University of Posts and Telecommunications, Nanjing, China
| | - Yuxiu Tao
- College of Electronic and Optical Engineering & College of Flexible Electronics (Future Technology), Nanjing University of Posts and Telecommunications, Nanjing, China
| | - Fu Zhu
- College of Electronic and Optical Engineering & College of Flexible Electronics (Future Technology), Nanjing University of Posts and Telecommunications, Nanjing, China
| | - Bin He
- State Key Laboratory of Low-dimensional Quantum Physics and Department of Physics, Tsinghua University, Beijing, China
| | - Ning Liu
- College of Electronic and Optical Engineering & College of Flexible Electronics (Future Technology), Nanjing University of Posts and Telecommunications, Nanjing, China
| | - Junyi Chen
- Jiangsu Kunpeng Shengteng Ecological Innovation Center, Nanjing, Jiangsu, China
| | - Ping Xue
- State Key Laboratory of Low-dimensional Quantum Physics and Department of Physics, Tsinghua University, Beijing, China
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3
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Hren R, Sersa G, Simoncic U, Milanic M. Imaging microvascular changes in nonocular oncological clinical applications by optical coherence tomography angiography: a literature review. Radiol Oncol 2023; 57:411-418. [PMID: 38038417 PMCID: PMC10690745 DOI: 10.2478/raon-2023-0057] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2023] [Accepted: 10/03/2023] [Indexed: 12/02/2023] Open
Abstract
BACKGROUND Optical coherence tomography angiography (OCTA) is an emerging imaging modality that enables noninvasive visualization and analysis of tumor vasculature. OCTA has been particularly useful in clinical ocular oncology, while in this article, we evaluated OCTA in assessing microvascular changes in clinical nonocular oncology through a systematic review of the literature. METHOD The inclusion criterion for the literature search in PubMed, Web of Science and Scopus electronic databases was the use of OCTA in nonocular clinical oncology, meaning that all ocular clinical studies and all ocular and nonocular animal, phantom, ex vivo, experimental, research and development, and purely methodological studies were excluded. RESULTS Eleven articles met the inclusion criteria. The anatomic locations of the neoplasms in the selected articles were the gastrointestinal tract (2 articles), head and neck (1 article) and skin (8 articles). CONCLUSIONS While OCTA has shown great advancements in ophthalmology, its translation to the nonocular clinical oncology setting presents several limitations, with a lack of standardized protocols and interpretation guidelines posing the most significant challenge.
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Affiliation(s)
- Rok Hren
- Faculty of Mathematics and Physics, Ljubljana, Slovenia
- Institute of Mathematics, Physics, and Mechanics, Ljubljana, Slovenia
- Syreon Research Institute, Budapest, Hungary
| | - Gregor Sersa
- Institute of Oncology Ljubljana, Ljubljana, Slovenia
| | - Urban Simoncic
- Faculty of Mathematics and Physics, Ljubljana, Slovenia
- Jozef Stefan Institute, Ljubljana, Slovenia
| | - Matija Milanic
- Faculty of Mathematics and Physics, Ljubljana, Slovenia
- Jozef Stefan Institute, Ljubljana, Slovenia
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4
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Simoncic U, Milanic M. Tail Artifact Removal via Transmittance Effect Subtraction in Optical Coherence Tail Artifact Images. SENSORS (BASEL, SWITZERLAND) 2023; 23:9312. [PMID: 38067685 PMCID: PMC10708777 DOI: 10.3390/s23239312] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/06/2023] [Revised: 11/14/2023] [Accepted: 11/20/2023] [Indexed: 12/18/2023]
Abstract
Optical Coherence Tomography Angiography (OCTA) has revolutionized non-invasive, high-resolution imaging of blood vessels. However, the challenge of tail artifacts in OCTA images persists. In response, we present the Tail Artifact Removal via Transmittance Effect Subtraction (TAR-TES) algorithm that effectively mitigates these artifacts. Through a simple physics-based model, the TAR-TES accounts for variations in transmittance within the shallow layers with the vasculature, resulting in the removal of tail artifacts in deeper layers after the vessel. Comparative evaluations with alternative correction methods demonstrate that TAR-TES excels in eliminating these artifacts while preserving the essential integrity of vasculature images. Crucially, the success of the TAR-TES is closely linked to the precise adjustment of a weight constant, underlining the significance of individual dataset parameter optimization. In conclusion, TAR-TES emerges as a powerful tool for enhancing OCTA image quality and reliability in both clinical and research settings, promising to reshape the way we visualize and analyze intricate vascular networks within biological tissues. Further validation across diverse datasets is essential to unlock the full potential of this physics-based solution.
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Affiliation(s)
- Urban Simoncic
- Faculty of Mathematics and Physics, University of Ljubljana, 1000 Ljubljana, Slovenia;
- Jozef Stefan Institute, 1000 Ljubljana, Slovenia
| | - Matija Milanic
- Faculty of Mathematics and Physics, University of Ljubljana, 1000 Ljubljana, Slovenia;
- Jozef Stefan Institute, 1000 Ljubljana, Slovenia
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5
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Untracht GR, Dikaios N, Durrani AK, Bapir M, Sarunic MV, Sampson DD, Heiss C, Sampson DM. Pilot study of optical coherence tomography angiography-derived microvascular metrics in hands and feet of healthy and diabetic people. Sci Rep 2023; 13:1122. [PMID: 36670141 PMCID: PMC9853488 DOI: 10.1038/s41598-022-26871-y] [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: 10/04/2022] [Accepted: 12/21/2022] [Indexed: 01/22/2023] Open
Abstract
Optical coherence tomography angiography (OCTA) is a non-invasive, high-resolution imaging modality with growing application in dermatology and microvascular assessment. Accepted reference values for OCTA-derived microvascular parameters in skin do not yet exist but need to be established to drive OCTA into the clinic. In this pilot study, we assess a range of OCTA microvascular metrics at rest and after post-occlusive reactive hyperaemia (PORH) in the hands and feet of 52 healthy people and 11 people with well-controlled type 2 diabetes mellitus (T2DM). We calculate each metric, measure test-retest repeatability, and evaluate correlation with demographic risk factors. Our study delivers extremity-specific, age-dependent reference values and coefficients of repeatability of nine microvascular metrics at baseline and at the maximum of PORH. Significant differences are not seen for age-dependent microvascular metrics in hand, but they are present for several metrics in the foot. Significant differences are observed between hand and foot, both at baseline and maximum PORH, for most of the microvascular metrics with generally higher values in the hand. Despite a large variability over a range of individuals, as is expected based on heterogeneous ageing phenotypes of the population, the test-retest repeatability is 3.5% to 18% of the mean value for all metrics, which highlights the opportunities for OCTA-based studies in larger cohorts, for longitudinal monitoring, and for assessing the efficacy of interventions. Additionally, branchpoint density in the hand and foot and changes in vessel diameter in response to PORH stood out as good discriminators between healthy and T2DM groups, which indicates their potential value as biomarkers. This study, building on our previous work, represents a further step towards standardised OCTA in clinical practice and research.
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Affiliation(s)
- Gavrielle R Untracht
- Department of Electrical, Electronic and Computer Engineering, The University of Western Australia, Perth, 6009, Australia.,School of Biosciences and Medicine, The University of Surrey, Guildford, GU27XH, UK
| | - Nikolaos Dikaios
- Mathematics Research Centre, Academy of Athens, Athens, 10679, Greece
| | - Abdullah K Durrani
- School of Biosciences and Medicine, The University of Surrey, Guildford, GU27XH, UK.,School of Physics, Advanced Technology Institute, The University of Surrey, Guildford, GU27XH, UK
| | - Mariam Bapir
- School of Biosciences and Medicine, The University of Surrey, Guildford, GU27XH, UK
| | - Marinko V Sarunic
- Institute of Ophthalmology, University College London, London, EC1V 2PD, UK.,Department of Medical Physics and Biomedical Engineering, University College London, London, WC1E 6BT, UK
| | - David D Sampson
- School of Biosciences and Medicine, The University of Surrey, Guildford, GU27XH, UK.,School of Physics, Advanced Technology Institute, The University of Surrey, Guildford, GU27XH, UK
| | - Christian Heiss
- School of Biosciences and Medicine, The University of Surrey, Guildford, GU27XH, UK.,East Surrey Hospital, Surrey and Sussex Healthcare NHS Trust, Redhill, RH15RH, UK
| | - Danuta M Sampson
- School of Biosciences and Medicine, The University of Surrey, Guildford, GU27XH, UK. .,Institute of Ophthalmology, University College London, London, EC1V 2PD, UK.
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6
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Zhang W, He B, Wu Y, Tao Y, Zhu F, Cai W, Liu N, Zhao Q, Xue P. Tail artifacts removal of three-dimensional optical coherence tomography angiography with common parts extraction method. JOURNAL OF BIOPHOTONICS 2022; 15:e202200155. [PMID: 36328058 DOI: 10.1002/jbio.202200155] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/18/2022] [Revised: 07/11/2022] [Accepted: 08/02/2022] [Indexed: 06/16/2023]
Abstract
In optical coherence tomography angiography (OCTA), each blood vessel has a tail artifact. These tails of superficial vessels will shadow underlying the deep vascular images and make it difficult to reconstruct the three-dimensional (3D) image of the vessels. As 3D structure can provide much more information than two-dimensional (2D) images, it is important to develop a method to remove the artifacts. In this letter, we introduce an image processing technique based on common parts extraction to remove the artifacts. With the help of subtraction operation and erode operation, our method can reconstruct the 3D image of vascular network by extracting the common parts of adjacent B-Scan OCTA images. Vessels of palm are used as samples to experimentally demonstrate our technique. In the 3D image, we can see the interesting phenomenon that the ends of the blood vessels which close to the surface of the skin point toward the surface.
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Affiliation(s)
- Wenxin Zhang
- College of Electronic and Optical Engineering & College of Flexible Electronics (Future Technology), Nanjing University of Posts and Telecommunications, Nanjing, China
- State Key Laboratory of Low-dimensional Quantum Physics and Department of Physics, Tsinghua University, Beijing, China
| | - Bin He
- State Key Laboratory of Low-dimensional Quantum Physics and Department of Physics, Tsinghua University, Beijing, China
| | - Yangkang Wu
- College of Electronic and Optical Engineering & College of Flexible Electronics (Future Technology), Nanjing University of Posts and Telecommunications, Nanjing, China
| | - Yuxiu Tao
- College of Electronic and Optical Engineering & College of Flexible Electronics (Future Technology), Nanjing University of Posts and Telecommunications, Nanjing, China
| | - Fu Zhu
- College of Electronic and Optical Engineering & College of Flexible Electronics (Future Technology), Nanjing University of Posts and Telecommunications, Nanjing, China
| | - Wenchao Cai
- College of Electronic and Optical Engineering & College of Flexible Electronics (Future Technology), Nanjing University of Posts and Telecommunications, Nanjing, China
| | - Ning Liu
- College of Electronic and Optical Engineering & College of Flexible Electronics (Future Technology), Nanjing University of Posts and Telecommunications, Nanjing, China
| | - Qiang Zhao
- College of Electronic and Optical Engineering & College of Flexible Electronics (Future Technology), Nanjing University of Posts and Telecommunications, Nanjing, China
| | - Ping Xue
- State Key Laboratory of Low-dimensional Quantum Physics and Department of Physics, Tsinghua University, Beijing, China
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7
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Chen G, Wang W, Li Y. Comparative study of OCTA algorithms with a high-sensitivity multi-contrast Jones matrix OCT system for human skin imaging. BIOMEDICAL OPTICS EXPRESS 2022; 13:4718-4736. [PMID: 36187265 PMCID: PMC9484425 DOI: 10.1364/boe.462941] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/05/2022] [Revised: 07/21/2022] [Accepted: 07/28/2022] [Indexed: 06/16/2023]
Abstract
The multi-contrast Jones matrix OCT (JMT) system can not only improve the tissue-specific contrast but also enhance the sensitivity of detecting flow, which is gaining increasing attention. However, for the JMT system, there is currently a lack of studies evaluating and guiding the selection of suitable angiography algorithms to map the most appealing quality of angiograms for clinical use. In this paper, by a homemade high-sensitivity multi-contrast JMT system based 200 kHz swept source, the performance of two complex-signal-based OCTA methods that are insensitive to phase instability and one amplitude-signal-based OCTA method are compared for in-vivo imaging of human skin qualitatively and quantitatively. Six metrics, including vascular connectivity, image contrast-to-noise ratio, image signal-to-noise ratio, vessel diameter index, blood vessel density, and processing time, are assessed. The results show that the vascular networks processed by all OCTA methods and the texture of skin could be visualized simultaneously and markedly. Additionally, the complex-signal-based OCTA methods successfully suppress phase instabilities and even outperform the amplitude-signal-based OCTA algorithm in some indicators. This paper has a certain guiding significance for selecting an appropriate angiography algorithm and expanding the application field with this system.
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Affiliation(s)
- Guoqiang Chen
- Key Laboratory of Photoelectronic Imaging Technology and System of Ministry of Education of China, School of Optics and Photonics, Beijing Institute of Technology, 5 South Zhongguancun Street, Beijing 100081, China
| | - Wen’ai Wang
- Key Laboratory of Photoelectronic Imaging Technology and System of Ministry of Education of China, School of Optics and Photonics, Beijing Institute of Technology, 5 South Zhongguancun Street, Beijing 100081, China
- Institute of Engineering Medicine, Beijing Institute of Technology, 5 South Zhongguancun Street, Beijing 100081, China
| | - Yanqiu Li
- Key Laboratory of Photoelectronic Imaging Technology and System of Ministry of Education of China, School of Optics and Photonics, Beijing Institute of Technology, 5 South Zhongguancun Street, Beijing 100081, China
- Institute of Engineering Medicine, Beijing Institute of Technology, 5 South Zhongguancun Street, Beijing 100081, China
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8
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Bouma B, de Boer J, Huang D, Jang I, Yonetsu T, Leggett C, Leitgeb R, Sampson D, Suter M, Vakoc B, Villiger M, Wojtkowski M. Optical coherence tomography. NATURE REVIEWS. METHODS PRIMERS 2022; 2:79. [PMID: 36751306 PMCID: PMC9901537 DOI: 10.1038/s43586-022-00162-2] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/09/2023]
Abstract
Optical coherence tomography (OCT) is a non-contact method for imaging the topological and internal microstructure of samples in three dimensions. OCT can be configured as a conventional microscope, as an ophthalmic scanner, or using endoscopes and small diameter catheters for accessing internal biological organs. In this Primer, we describe the principles underpinning the different instrument configurations that are tailored to distinct imaging applications and explain the origin of signal, based on light scattering and propagation. Although OCT has been used for imaging inanimate objects, we focus our discussion on biological and medical imaging. We examine the signal processing methods and algorithms that make OCT exquisitely sensitive to reflections as weak as just a few photons and that reveal functional information in addition to structure. Image processing, display and interpretation, which are all critical for effective biomedical imaging, are discussed in the context of specific applications. Finally, we consider image artifacts and limitations that commonly arise and reflect on future advances and opportunities.
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Affiliation(s)
- B.E. Bouma
- Wellman Center for Photomedicine, Massachusetts General Hospital, Boston, MA, USA,Institute for Medical Engineering and Physics, Massachusetts Institute of Technology, Cambridge, MA, USA,Harvard Medical School, Boston, MA, USA,Corresponding author:
| | - J.F. de Boer
- Department of Physics and Astronomy, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
| | - D. Huang
- Casey Eye Institute, Oregon Health and Science University, Portland, OR, USA
| | - I.K. Jang
- Harvard Medical School, Boston, MA, USA,Cardiology Division, Massachusetts General Hospital, Boston, MA, USA
| | - T. Yonetsu
- Department of Cardiovascular Medicine, Tokyo Medical and Dental University
| | - C.L. Leggett
- Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, MN, USA
| | - R. Leitgeb
- Institute of Medical Physics, University of Vienna, Wien, Austria
| | - D.D. Sampson
- School of Physics and School of Biosciences and Medicine, University of Surrey, Guildford, United Kingdom
| | - M. Suter
- Harvard Medical School, Boston, MA, USA,Division of Pulmonary and Critical Care Medicine, Massachusetts General Hospital, Boston, MA, USA
| | - B. Vakoc
- Wellman Center for Photomedicine, Massachusetts General Hospital, Boston, MA, USA,Harvard Medical School, Boston, MA, USA
| | - M. Villiger
- Wellman Center for Photomedicine, Massachusetts General Hospital, Boston, MA, USA,Harvard Medical School, Boston, MA, USA
| | - M. Wojtkowski
- Institute of Physical Chemistry and International Center for Translational Eye Research, Institute of Physical Chemistry, Polish Academy of Sciences, Warsaw, Poland,Faculty of Physics, Astronomy and Informatics, Nicolaus Copernicus University, Torun, Poland
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9
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Calin MA, Parasca SV. Automatic detection of basal cell carcinoma by hyperspectral imaging. JOURNAL OF BIOPHOTONICS 2022; 15:e202100231. [PMID: 34427393 DOI: 10.1002/jbio.202100231] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/27/2021] [Accepted: 08/19/2021] [Indexed: 06/13/2023]
Abstract
The purpose of this study was to test the ability of hyperspectral imaging (HSI) combined with unsupervised anomaly detectors to automatically differentiate basal cell carcinoma (BCC) from normal skin. Hyperspectral images of the face of a female patient with a BCC of the lower lip were acquired using a visible/near-infrared HSI system and two anomaly detection algorithms (Reed-Xiaoli and Reed-Xiaoli/Uniform Target hybrid anomaly detectors) were used to detect pathological tissue from normal skin. The results revealed that the receiver operating characteristic curve of the Reed-Xiaoli/Uniform Target hybrid detector was higher than that of the Reed-Xiaoli detector in the range of false positive rates between 0 and 0.8. The area under curve values were good (0.7074 and 0.8607, respectively) with Reed-Xiaoli/Uniform Target hybrid detector performing better. In conclusion, HSI combined with either of two anomaly detectors can play a promising role in the automated screening of BCC.
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Affiliation(s)
- Mihaela Antonina Calin
- Optoelectronic Methods for Biomedical Applications Department, National Institute of Research and Development for Optoelectronics INOE 2000, Magurele, Ilfov, Romania
| | - Sorin Viorel Parasca
- Plastic and Reconstructive Surgery Department, Carol Davila University of Medicine and Pharmacy, Bucharest, Romania
- Emergency Clinical Hospital for Plastic, Reconstructive Surgery and Burns, Bucharest, Romania
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10
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Untracht GR, Matos RS, Dikaios N, Bapir M, Durrani AK, Butsabong T, Campagnolo P, Sampson DD, Heiss C, Sampson DM. OCTAVA: An open-source toolbox for quantitative analysis of optical coherence tomography angiography images. PLoS One 2021; 16:e0261052. [PMID: 34882760 PMCID: PMC8659314 DOI: 10.1371/journal.pone.0261052] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2021] [Accepted: 11/24/2021] [Indexed: 12/15/2022] Open
Abstract
Optical coherence tomography angiography (OCTA) performs non-invasive visualization and characterization of microvasculature in research and clinical applications mainly in ophthalmology and dermatology. A wide variety of instruments, imaging protocols, processing methods and metrics have been used to describe the microvasculature, such that comparing different study outcomes is currently not feasible. With the goal of contributing to standardization of OCTA data analysis, we report a user-friendly, open-source toolbox, OCTAVA (OCTA Vascular Analyzer), to automate the pre-processing, segmentation, and quantitative analysis of en face OCTA maximum intensity projection images in a standardized workflow. We present each analysis step, including optimization of filtering and choice of segmentation algorithm, and definition of metrics. We perform quantitative analysis of OCTA images from different commercial and non-commercial instruments and samples and show OCTAVA can accurately and reproducibly determine metrics for characterization of microvasculature. Wide adoption could enable studies and aggregation of data on a scale sufficient to develop reliable microvascular biomarkers for early detection, and to guide treatment, of microvascular disease.
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Affiliation(s)
- Gavrielle R. Untracht
- Optical+Biomedical Engineering Laboratory, School of Electrical, Electronic and Computer Engineering, The University of Western Australia, Perth, Western Australia, Australia
- Surrey Biophotonics, Advanced Technology Institute, School of Physics and School of Biosciences and Medicine, University of Surrey, Guildford, Surrey, United Kingdom
- * E-mail:
| | - Rolando S. Matos
- Department of Biochemical Sciences and Department of Clinical and Experimental Medicine, School of Biosciences and Medicine, University of Surrey, Guildford, Surrey, United Kingdom
| | | | - Mariam Bapir
- Department of Biochemical Sciences and Department of Clinical and Experimental Medicine, School of Biosciences and Medicine, University of Surrey, Guildford, Surrey, United Kingdom
| | - Abdullah K. Durrani
- Surrey Biophotonics, Advanced Technology Institute, School of Physics and School of Biosciences and Medicine, University of Surrey, Guildford, Surrey, United Kingdom
| | - Teemapron Butsabong
- Department of Biochemical Sciences and Department of Clinical and Experimental Medicine, School of Biosciences and Medicine, University of Surrey, Guildford, Surrey, United Kingdom
| | - Paola Campagnolo
- Department of Biochemical Sciences and Department of Clinical and Experimental Medicine, School of Biosciences and Medicine, University of Surrey, Guildford, Surrey, United Kingdom
| | - David D. Sampson
- Surrey Biophotonics, Advanced Technology Institute, School of Physics and School of Biosciences and Medicine, University of Surrey, Guildford, Surrey, United Kingdom
| | - Christian Heiss
- Department of Biochemical Sciences and Department of Clinical and Experimental Medicine, School of Biosciences and Medicine, University of Surrey, Guildford, Surrey, United Kingdom
- Surrey and Sussex Healthcare NHS Trust, East Surrey Hospital, Redhill, Surrey, United Kingdom
| | - Danuta M. Sampson
- Department of Biochemical Sciences and Department of Clinical and Experimental Medicine, School of Biosciences and Medicine, University of Surrey, Guildford, Surrey, United Kingdom
- Surrey Biophotonics, Centre for Vision, Speech and Signal Processing and School of Biosciences and Medicine, The University of Surrey, Guildford, United Kingdom
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11
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Ren S, Shen X, Xu J, Li L, Qiu H, Jia H, Wu X, Chen D, Zhao S, Yu B, Gu Y, Dong F. Imaging depth adaptive resolution enhancement for optical coherence tomography via deep neural network with external attention. Phys Med Biol 2021; 66. [PMID: 34464947 DOI: 10.1088/1361-6560/ac2267] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2021] [Accepted: 08/31/2021] [Indexed: 11/11/2022]
Abstract
Optical coherence tomography (OCT) is a promising non-invasive imaging technique that owns many biomedical applications. In this paper, a deep neural network is proposed for enhancing the spatial resolution of OCTen faceimages. Different from the previous reports, the proposed can recover high-resolutionen faceimages from low-resolutionen faceimages at arbitrary imaging depth. This kind of imaging depth adaptive resolution enhancement is achieved through an external attention mechanism, which takes advantage of morphological similarity between the arbitrary-depth and full-depthen faceimages. Firstly, the deep feature maps are extracted by a feature extraction network from the arbitrary-depth and full-depthen faceimages. Secondly, the morphological similarity between the deep feature maps is extracted and utilized to emphasize the features strongly correlated to the vessel structures by using the external attention network. Finally, the SR image is recovered from the enhanced feature map through an up-sampling network. The proposed network is tested on a clinical skin OCT data set and an open-access retinal OCT dataset. The results show that the proposed external attention mechanism can suppress invalid features and enhance significant features in our tasks. For all tests, the proposed SR network outperformed the traditional image interpolation method, e.g. bi-cubic method, and the state-of-the-art image super-resolution networks, e.g. enhanced deep super-resolution network, residual channel attention network, and second-order attention network. The proposed method may increase the quantitative clinical assessment of micro-vascular diseases which is limited by OCT imaging device resolution.
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Affiliation(s)
- Shangjie Ren
- Tianjin Key Laboratory of Process Measurement and Control, School of Electrical and Information Engineering, Tianjin University, Tianjin, 300072, People's Republic of China
| | - Xiongri Shen
- Tianjin Key Laboratory of Process Measurement and Control, School of Electrical and Information Engineering, Tianjin University, Tianjin, 300072, People's Republic of China
| | - Jingjiang Xu
- School of Physics and Optoelectronic Engineering, Foshan University, Foshan, 528000, People's Republic of China
| | - Liang Li
- College of Intelligence and Computing, Tianjin University, Tianjin, 300072, People's Republic of China
| | - Haixia Qiu
- Department of Laser Medicine, the First Medical Centre, Chinese PLA General Hospital, Beijing, 100853, People's Republic of China
| | - Haibo Jia
- Department of Cardiology, The 2nd Affiliated Hospital of Harbin Medical University, Harbin, 150081, People's Republic of China.,The Key Laboratory of Myocardial Ischemia, Chinese Ministry of Education, Harbin, 150081, People's Republic of China
| | - Xining Wu
- Tianjin Horimed Technology Co., Ltd., Tianjin, 300308, People's Republic of China
| | - Defu Chen
- Institute of Engineering Medicine, Beijing Institute of Technology, Beijing, 100081, People's Republic of China
| | - Shiyong Zhao
- Tianjin Horimed Technology Co., Ltd., Tianjin, 300308, People's Republic of China
| | - Bo Yu
- Department of Cardiology, The 2nd Affiliated Hospital of Harbin Medical University, Harbin, 150081, People's Republic of China.,The Key Laboratory of Myocardial Ischemia, Chinese Ministry of Education, Harbin, 150081, People's Republic of China
| | - Ying Gu
- Department of Laser Medicine, the First Medical Centre, Chinese PLA General Hospital, Beijing, 100853, People's Republic of China.,Precision Laser Medical Diagnosis and Treatment Innovation Unit, Chinese Academy of Medical Sciences, Beijing, 100000, People's Republic of China
| | - Feng Dong
- Tianjin Key Laboratory of Process Measurement and Control, School of Electrical and Information Engineering, Tianjin University, Tianjin, 300072, People's Republic of China
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12
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Liu M, Deloria AJ, Haindl R, Li Q, Szakacs G, Csiszar A, Schrittwieser S, Muellner P, Hainberger R, Pelaz B, Polo E, Del Pino P, Penttinen A, Guina M, Niemi T, Meiburger K, Molinari F, Menhard C, Heidelin J, Andresen V, Geuzebroek D, Drexler W. REAP: revealing drug tolerant persister cells in cancer using contrast enhanced optical coherence and photoacoustic tomography. JPHYS PHOTONICS 2021. [DOI: 10.1088/2515-7647/abf02f] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022] Open
Abstract
Abstract
Despite chemotherapy, residual tumors often rely on so-called drug tolerant persister (DTP) cells, which evade treatment to give rise to therapy-resistant relapse and refractory disease. Detection of residual tumor cells proves to be challenging because of the rarity and heterogeneity of DTP cells. In the framework of a H2020 project, REAP will gather researchers and engineers from six countries, who will combine their expertise in biology, chemistry, oncology, material sciences, photonics, and electrical and biomedical engineering in the hope of revealing DTPs in cancer using contrast enhanced multimodal optical imaging. Laser sources for photoacoustic microscopy, photoacoustic tomography, and optical coherence tomography will be developed to enable the design of a two-photon laser scanning optical coherence photoacoustic microscopy system and an optical coherence photoacoustic tomography system. Furthermore, novel photoacoustic detectors using micro-ring resonator will be designed and fabricated, granting improved sensitivity and easier integration of multiple optical imaging modalities into a single system. Innovative algorithms will be developed to reconstruct and analyze the images quickly and automatically. With successful implementation of this four-year project, we can not only gain insight into the mechanisms governing DTPs, but also significantly advance the technology readiness level of contrast agents, lasers, sensors, and image analysis software through joint efforts.
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13
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Optical Coherence Tomography Angiography Monitors Cutaneous Wound Healing under Angiogenesis-Promoting Treatment in Diabetic and Non-Diabetic Mice. APPLIED SCIENCES-BASEL 2021. [DOI: 10.3390/app11052447] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
During wound healing, the rapid re-establishment of a functional microcirculation in the wounded tissue is of utmost importance. We applied optical coherence tomography (OCT) angiography to evaluate vascular remodeling in an excisional wound model in the pinnae of C57BL/6 and db/db mice receiving different proangiogenic topical treatments. Analysis of the high-resolution OCT angiograms, including the four quantitative parameters vessel density, vessel length, number of bifurcations, and vessel tortuosity, revealed changes of the microvasculature and allowed identification of the overlapping wound healing phases hemostasis, inflammation, proliferation, and remodeling. Angiograms acquired in the inflammatory phase in the first days showed a dilation of vessels and recruitment of pre-existing capillaries. In the proliferative phase, angiogenesis with the sprouting of new capillaries into the wound tissue led to an increase of the OCT angiography parameters vessel density, normalized vessel length, number of bifurcations, and vessel tortuosity by 28–47%, 39–52%, 33–48%, and 3–8% versus baseline, respectively. After the peak observed on study days four to seven, the parameters slowly decreased but remained still elevated 18 days after wounding, indicating a continuing remodeling phase. Our study suggests that OCT angiography has the potential to serve as a valuable preclinical research tool in studies investigating impaired vascular remodeling during wound healing and potential new treatment strategies.
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14
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Zeng Y, Chapman WC, Lin Y, Li S, Mutch M, Zhu Q. Diagnosing colorectal abnormalities using scattering coefficient maps acquired from optical coherence tomography. JOURNAL OF BIOPHOTONICS 2021; 14:e202000276. [PMID: 33064368 PMCID: PMC8196414 DOI: 10.1002/jbio.202000276] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/08/2020] [Revised: 09/08/2020] [Accepted: 10/11/2020] [Indexed: 05/30/2023]
Abstract
Optical coherence tomography (OCT) has shown potential in differentiating normal colonic mucosa from neoplasia. In this study of 33 fresh human colon specimens, we report the first use of texture features and computer vision-based imaging features acquired from en face scattering coefficient maps to characterize colorectal tissue. En face scattering coefficient maps were generated automatically using a new fast integral imaging algorithm. From these maps, a gray-level cooccurrence matrix algorithm was used to extract texture features, and a scale-invariant feature transform algorithm was used to derive novel computer vision-based features. In total, 25 features were obtained, and the importance of each feature in diagnosis was evaluated using a random forest model. Two classifiers were assessed on two different classification tasks. A support vector machine model was found to be optimal for distinguishing normal from abnormal tissue, with 94.7% sensitivity and 94.0% specificity, while a random forest model performed optimally in further differentiating abnormal tissues (i.e., cancerous tissue and adenomatous polyp) with 86.9% sensitivity and 85.0% specificity. These results demonstrated the potential of using OCT to aid the diagnosis of human colorectal disease.
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Affiliation(s)
- Yifeng Zeng
- Department of Biomedical Engineering, Washington University, St. Louis, Missouri, USA
| | - William C Chapman
- Department of Surgery, Section of Colon and Rectal Surgery, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Yixiao Lin
- Department of Biomedical Engineering, Washington University, St. Louis, Missouri, USA
| | - Shuying Li
- Department of Biomedical Engineering, Washington University, St. Louis, Missouri, USA
| | - Matthew Mutch
- Department of Surgery, Section of Colon and Rectal Surgery, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Quing Zhu
- Department of Biomedical Engineering, Washington University, St. Louis, Missouri, USA
- Department of Radiology, Washington University School of Medicine, St. Louis, Missouri, USA
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15
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Giron A, Cox C, MacKay B. Techniques for Imaging Vascular Supply of Peripheral Nerves. J Brachial Plex Peripher Nerve Inj 2021; 16:e24-e30. [PMID: 34316297 PMCID: PMC8302262 DOI: 10.1055/s-0041-1731280] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/10/2020] [Accepted: 03/31/2021] [Indexed: 11/23/2022] Open
Abstract
Few studies have been developed to map the vascular structures feeding peripheral nerves, with the majority using cadaveric models and inadequate sample sizes. Preliminary evidence, while limited, indicates that the mapping of these vessels may allow or preclude certain procedures in nerve reconstruction due to the location of essential arterial inflow to the vasa nervorum. This review evaluates the evidence regarding historical, current, and emerging techniques for visualizing these vascular structures in vivo and considers their potential application in peripheral nerve vasculature.
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Affiliation(s)
- Alec Giron
- Department of Orthopaedic Surgery, Texas Tech University Health Sciences Center School of Medicine Lubbock, Texas Tech University Health Sciences Center School of Medicine, Lubbock, Texas, United Sates
| | - Cameron Cox
- Department of Orthopaedic Surgery, Texas Tech University Health Sciences Center, Lubbock, Texas, United States
| | - Brendan MacKay
- Department of Orthopaedic Surgery, Texas Tech Health Sciences Center, Lubbock, Texas, United Sates
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16
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Saknite I, Zhao Z, Patrinely JR, Byrne M, Jagasia M, Tkaczyk ER. Individual cell motion in healthy human skin microvasculature by reflectance confocal video microscopy. Microcirculation 2020; 27:e12621. [PMID: 32304109 PMCID: PMC7554192 DOI: 10.1111/micc.12621] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2019] [Revised: 03/06/2020] [Accepted: 04/11/2020] [Indexed: 12/14/2022]
Abstract
OBJECTIVE To describe upper dermal microvasculature of healthy human skin in terms of density and size of cutaneous blood vessels, leukocyte velocity, and leukocyte interactions with the endothelium. METHODS We used a reflectance confocal microscope, the VivaScope 1500, to acquire videos of individual cell motion. RESULTS We found no rolling leukocytes in the upper microvasculature of ten healthy subjects. We observed "paused" leukocytes, that is, leukocytes that temporarily stop, coinciding with the simultaneous stopping of the rest of the blood flow. We imaged more paused (median: 1.0 per subject) and adherent (1.5) leukocytes in the forearm than in the chest (median 0 paused and 0 adherent per subject) per 5 minutes of videos per body site. Leukocytes were paused for a median of 7 seconds in the forearm and 3 seconds in the chest, and we found no correlation between this parameter and the blood vessel or leukocyte size. We visualized blood flow change direction. Flowing leukocyte velocities followed a lognormal distribution and were on average higher in the chest (117 µm/s) than in the forearm (66 µm/s). CONCLUSION The proposed method and reported values in healthy skin provide new insights into intact human skin microcirculation.
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Affiliation(s)
- Inga Saknite
- Vanderbilt Dermatology Translational Research Clinic,
Department of Dermatology, Vanderbilt University Medical Center, Nashville, TN,
USA
| | - Zijun Zhao
- Vanderbilt Dermatology Translational Research Clinic,
Department of Dermatology, Vanderbilt University Medical Center, Nashville, TN,
USA
- Dermatology Service and Research Service, Tennessee Valley
Healthcare System, Department of Veterans Affairs, Nashville, TN, USA
- Vanderbilt University School of Medicine, Nashville, TN,
USA
| | - J. Randall Patrinely
- Vanderbilt Dermatology Translational Research Clinic,
Department of Dermatology, Vanderbilt University Medical Center, Nashville, TN,
USA
- Dermatology Service and Research Service, Tennessee Valley
Healthcare System, Department of Veterans Affairs, Nashville, TN, USA
- Vanderbilt University School of Medicine, Nashville, TN,
USA
| | - Michael Byrne
- Division of Hematology/Oncology, Department of Medicine,
Vanderbilt University Medical Center, Nashville, TN, USA
- Vanderbilt-Ingram Cancer Center, Nashville, TN, USA
| | - Madan Jagasia
- Division of Hematology/Oncology, Department of Medicine,
Vanderbilt University Medical Center, Nashville, TN, USA
- Vanderbilt-Ingram Cancer Center, Nashville, TN, USA
| | - Eric R. Tkaczyk
- Vanderbilt Dermatology Translational Research Clinic,
Department of Dermatology, Vanderbilt University Medical Center, Nashville, TN,
USA
- Dermatology Service and Research Service, Tennessee Valley
Healthcare System, Department of Veterans Affairs, Nashville, TN, USA
- Vanderbilt-Ingram Cancer Center, Nashville, TN, USA
- Department of Biomedical Engineering, Vanderbilt
University, Nashville, TN, USA
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17
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Beyer T, Bidaut L, Dickson J, Kachelriess M, Kiessling F, Leitgeb R, Ma J, Shiyam Sundar LK, Theek B, Mawlawi O. What scans we will read: imaging instrumentation trends in clinical oncology. Cancer Imaging 2020; 20:38. [PMID: 32517801 PMCID: PMC7285725 DOI: 10.1186/s40644-020-00312-3] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2019] [Accepted: 04/17/2020] [Indexed: 12/16/2022] Open
Abstract
Oncological diseases account for a significant portion of the burden on public healthcare systems with associated costs driven primarily by complex and long-lasting therapies. Through the visualization of patient-specific morphology and functional-molecular pathways, cancerous tissue can be detected and characterized non-invasively, so as to provide referring oncologists with essential information to support therapy management decisions. Following the onset of stand-alone anatomical and functional imaging, we witness a push towards integrating molecular image information through various methods, including anato-metabolic imaging (e.g., PET/CT), advanced MRI, optical or ultrasound imaging.This perspective paper highlights a number of key technological and methodological advances in imaging instrumentation related to anatomical, functional, molecular medicine and hybrid imaging, that is understood as the hardware-based combination of complementary anatomical and molecular imaging. These include novel detector technologies for ionizing radiation used in CT and nuclear medicine imaging, and novel system developments in MRI and optical as well as opto-acoustic imaging. We will also highlight new data processing methods for improved non-invasive tissue characterization. Following a general introduction to the role of imaging in oncology patient management we introduce imaging methods with well-defined clinical applications and potential for clinical translation. For each modality, we report first on the status quo and, then point to perceived technological and methodological advances in a subsequent status go section. Considering the breadth and dynamics of these developments, this perspective ends with a critical reflection on where the authors, with the majority of them being imaging experts with a background in physics and engineering, believe imaging methods will be in a few years from now.Overall, methodological and technological medical imaging advances are geared towards increased image contrast, the derivation of reproducible quantitative parameters, an increase in volume sensitivity and a reduction in overall examination time. To ensure full translation to the clinic, this progress in technologies and instrumentation is complemented by advances in relevant acquisition and image-processing protocols and improved data analysis. To this end, we should accept diagnostic images as "data", and - through the wider adoption of advanced analysis, including machine learning approaches and a "big data" concept - move to the next stage of non-invasive tumour phenotyping. The scans we will be reading in 10 years from now will likely be composed of highly diverse multi-dimensional data from multiple sources, which mandate the use of advanced and interactive visualization and analysis platforms powered by Artificial Intelligence (AI) for real-time data handling by cross-specialty clinical experts with a domain knowledge that will need to go beyond that of plain imaging.
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Affiliation(s)
- Thomas Beyer
- QIMP Team, Centre for Medical Physics and Biomedical Engineering, Medical University Vienna, Währinger Gürtel 18-20/4L, 1090, Vienna, Austria.
| | - Luc Bidaut
- College of Science, University of Lincoln, Lincoln, UK
| | - John Dickson
- Institute of Nuclear Medicine, University College London Hospital, London, UK
| | - Marc Kachelriess
- Division of X-ray imaging and CT, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 280, 69120, Heidelberg, DE, Germany
| | - Fabian Kiessling
- Institute for Experimental Molecular Imaging, University Clinic and Helmholtz Institute for Biomedical Engineering, RWTH Aachen University, Pauwelsstrasse 20, 52074, Aachen, DE, Germany
- Fraunhofer Institute for Digital Medicine MEVIS, Am Fallturm 1, 28359, Bremen, DE, Germany
| | - Rainer Leitgeb
- Centre for Medical Physics and Biomedical Engineering, Medical University Vienna, Vienna, AT, Austria
| | - Jingfei Ma
- Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Lalith Kumar Shiyam Sundar
- QIMP Team, Centre for Medical Physics and Biomedical Engineering, Medical University Vienna, Währinger Gürtel 18-20/4L, 1090, Vienna, Austria
| | - Benjamin Theek
- Institute for Experimental Molecular Imaging, University Clinic and Helmholtz Institute for Biomedical Engineering, RWTH Aachen University, Pauwelsstrasse 20, 52074, Aachen, DE, Germany
- Fraunhofer Institute for Digital Medicine MEVIS, Am Fallturm 1, 28359, Bremen, DE, Germany
| | - Osama Mawlawi
- Department of Imaging Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
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18
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Choi WJ, Paulson B, Yu S, Wang RK, Kim JK. Mean-Subtraction Method for De-shadowing of Tail Artifacts in Cerebral OCTA Images: A Proof of Concept. MATERIALS 2020; 13:ma13092024. [PMID: 32357466 PMCID: PMC7254351 DOI: 10.3390/ma13092024] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/19/2020] [Revised: 04/22/2020] [Accepted: 04/23/2020] [Indexed: 01/25/2023]
Abstract
When imaging brain vasculature with optical coherence tomography angiography (OCTA), volumetric analysis of cortical vascular networks in OCTA datasets is frequently challenging due to the presence of artifacts, which appear as multiple-scattering tails beneath superficial large vessels in OCTA images. These tails shadow underlying small vessels, making the assessment of vascular morphology in the deep cortex difficult. In this work, we introduce an image processing technique based on mean subtraction of the depth profile that can effectively reduce these tails to better reveal small hidden vessels compared to the current tail removal approach. With the improved vascular image quality, we demonstrate that this simple method can provide better visualization of three-dimensional vascular network topology for quantitative cerebrovascular studies.
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Affiliation(s)
- Woo June Choi
- School of Electrical and Electronics Engineering, Chung-Ang University, Seoul 06974, Korea; (W.J.C.); (S.Y.)
| | - Bjorn Paulson
- Biomedical Engineering Research Center, Asan Institute for Life Science, Asan Medical Center, Seoul 05505, Korea;
| | - Sungwook Yu
- School of Electrical and Electronics Engineering, Chung-Ang University, Seoul 06974, Korea; (W.J.C.); (S.Y.)
| | - Ruikang K. Wang
- Department of Bioengineering, University of Washington, Seattle, WA 98195, USA;
| | - Jun Ki Kim
- Biomedical Engineering Research Center, Asan Institute for Life Science, Asan Medical Center, Seoul 05505, Korea;
- Department of Convergence Medicine, University of Ulsan College of Medicine, Seoul 05505, Korea
- Correspondence: ; Tel.: +82-2-3010-8619
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19
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Liu Y, Zhu D, Xu J, Wang Y, Feng W, Chen D, Li Y, Liu H, Guo X, Qiu H, Gu Y. Penetration-enhanced optical coherence tomography angiography with optical clearing agent for clinical evaluation of human skin. Photodiagnosis Photodyn Ther 2020; 30:101734. [PMID: 32171879 DOI: 10.1016/j.pdpdt.2020.101734] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2020] [Revised: 03/05/2020] [Accepted: 03/09/2020] [Indexed: 12/14/2022]
Abstract
BACKGROUND Optical coherence tomography angiography (OCTA) is an emerging imaging technique which shows its advantages over visualizing microcirculation with free label. However, its shortcomings in imaging depth limit its development in dermatological field. Nowadays, the newly optical clearing agent (OCA) designed for skin optical imaging demonstrates its potential. In our study, whether this OCA can improve the imaging ability of OCTA in healthy human skin and whether the combination of them is beneficial to compare the lesions and the contralateral normal skins in the patients with port wine stains (PWS) have been investigated. METHODS Five healthy volunteers and 3 PWS patients were recruited in this study. In terms of healthy people, the opisthenar area which has same structure information as facial skin was taken for investigating the OCA's ability of enhancing OCTA imaging depth on healthy human skin, besides, in order to verifying whether the exists of skin corneum interfere OCA's function, we compared the effect of only using OCA with that of comprehensive using pre-processing skin and OCA. There are one physical removing corneum method by using medical tape to strip opisthenar skin for over 20-time and one chemical way through applying exfoliating cream. For PWS patient, the combining using OCA and OCTA was applied at the lesion area and the contralateral normal area for the purpose of verifying their ability to provide the information of vessels. RESULTS This novel OCA had excellent efficacy to increase the penetration depth of human opisthenar skin for the OCTA imaging by approximately 0.16 ± 0.03 mm. Pre-processing of stratum corneum with an exfoliating cream or medical tape stripping did not further benefit the penetrating efficacy of the OCA. Moreover, according to a comprehensive analysis of the OCTA images enhanced by the OCA, the PWS lesions usually have larger density and diameter of the vessels which located in deep layers (beyond 0.21 mm) than the contralateral normal skin. CONCLUSIONS The OCTA imaging depth and contrast were significantly improved by the OCA. The OCA application is a simple and efficient clinical procedure for OCTA enhancement. Moreover, it demonstrated great clinical value to compare the normal skin and the PWS lesions in the patients by the enhanced OCTA imaging.
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Affiliation(s)
- Yidi Liu
- Department of Laser Medicine, First Medical Center of PLA General Hospital, Beijing, 100853, China
| | - Dan Zhu
- Huazhong University of Science and Technology, Key Laboratory of Biomedical Photonics of Ministry of Education, Department of Biomedical Engineering, Wuhan, 430033, China
| | - Jingjiang Xu
- School of Physics and Optoelectronic Engineering, Foshan University, Foshan, 528000, China
| | - Ying Wang
- Department of Laser Medicine, First Medical Center of PLA General Hospital, Beijing, 100853, China
| | - Wei Feng
- Central People's Hospital of Zhanjiang, Zhanjiang, 524000, China
| | - Defu Chen
- Department of Laser Medicine, First Medical Center of PLA General Hospital, Beijing, 100853, China
| | - Yunqi Li
- Department of Laser Medicine, First Medical Center of PLA General Hospital, Beijing, 100853, China
| | - Haolin Liu
- Department of Laser Medicine, First Medical Center of PLA General Hospital, Beijing, 100853, China
| | - Xianghuan Guo
- Department of Laser Medicine, First Medical Center of PLA General Hospital, Beijing, 100853, China
| | - Haixia Qiu
- Department of Laser Medicine, First Medical Center of PLA General Hospital, Beijing, 100853, China.
| | - Ying Gu
- Department of Laser Medicine, First Medical Center of PLA General Hospital, Beijing, 100853, China; Institute of Engineering Medicine, Beijing Institute of Technology, Beijing 100081, China.
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