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Alyami W, Kyme A, Bourne R. Histological Validation of MRI: A Review of Challenges in Registration of Imaging and Whole-Mount Histopathology. J Magn Reson Imaging 2020; 55:11-22. [PMID: 33128424 DOI: 10.1002/jmri.27409] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2020] [Revised: 10/07/2020] [Accepted: 10/09/2020] [Indexed: 12/20/2022] Open
Abstract
Rigorous validation with ground truth information such as histology is needed to reliably assess the current and potential value of MRI techniques to characterize tissue and identify disease-related tissue alterations. Commonly used methods that aim to directly correlate histology and MRI data generally fall short of this goal due to spatial errors that preclude direct matching. Errors result from tissue deformation, differences in spatial resolution and slice thickness, non-coplanar and/or nonintersecting plane orientations, and different image contrast mechanisms. Some of these problems arise from limitations in standard protocols for clinical tissue processing and histology-based pathology reporting, and to some extent can be addressed by modifications to standard protocols without compromising the clinical process. Typical modifications include ex vivo specimen MRI, block-face photography, addition of fiducial markers, and 3D printed molds to constrain tissue deformation and guide sectioning. This review summarizes the advantages and limitations of MRI validation techniques based on coregistration of MRI with whole-mount histology of tissue specimens. LEVEL OF EVIDENCE: 4 TECHNICAL EFFICACY STAGE: 1.
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Affiliation(s)
- Wadha Alyami
- Discipline of Medical Imaging Science, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia.,Discipline of Medical Imaging Science, Faculty of Applied Medical Sciences, King Saud University, Riyadh, Saudi Arabia
| | - Andre Kyme
- School of Biomedical Engineering, Faculty of Engineering and IT, The University of Sydney, Sydney, New South Wales, Australia
| | - Roger Bourne
- Discipline of Medical Imaging Science, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia
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Machálková M, Pavlatovská B, Michálek J, Pruška A, Štěpka K, Nečasová T, Radaszkiewicz KA, Kozubek M, Šmarda J, Preisler J, Navrátilová J. Drug Penetration Analysis in 3D Cell Cultures Using Fiducial-Based Semiautomatic Coregistration of MALDI MSI and Immunofluorescence Images. Anal Chem 2019; 91:13475-13484. [DOI: 10.1021/acs.analchem.9b02462] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Affiliation(s)
- Markéta Machálková
- Department of Chemistry, Faculty of Science and Central European Institute of Technology (CEITEC), Masaryk University, Kamenice 5, 625 00 Brno, Czech Republic
| | - Barbora Pavlatovská
- Department of Experimental Biology, Faculty of Science, Masaryk University, Kamenice 5, 625 00 Brno, Czech Republic
| | - Jan Michálek
- Centre for Biomedical Image Analysis, Faculty of Informatics, Masaryk University, Botanická 68a, 602 00 Brno, Czech Republic
| | - Adam Pruška
- Department of Chemistry, Faculty of Science and Central European Institute of Technology (CEITEC), Masaryk University, Kamenice 5, 625 00 Brno, Czech Republic
| | - Karel Štěpka
- Centre for Biomedical Image Analysis, Faculty of Informatics, Masaryk University, Botanická 68a, 602 00 Brno, Czech Republic
| | - Tereza Nečasová
- Centre for Biomedical Image Analysis, Faculty of Informatics, Masaryk University, Botanická 68a, 602 00 Brno, Czech Republic
| | - Katarzyna Anna Radaszkiewicz
- Department of Experimental Biology, Faculty of Science, Masaryk University, Kamenice 5, 625 00 Brno, Czech Republic
| | - Michal Kozubek
- Centre for Biomedical Image Analysis, Faculty of Informatics, Masaryk University, Botanická 68a, 602 00 Brno, Czech Republic
| | - Jan Šmarda
- Department of Experimental Biology, Faculty of Science, Masaryk University, Kamenice 5, 625 00 Brno, Czech Republic
| | - Jan Preisler
- Department of Chemistry, Faculty of Science and Central European Institute of Technology (CEITEC), Masaryk University, Kamenice 5, 625 00 Brno, Czech Republic
| | - Jarmila Navrátilová
- Department of Experimental Biology, Faculty of Science, Masaryk University, Kamenice 5, 625 00 Brno, Czech Republic
- Center for Biological and Cellular Engineering, International Clinical Research Center, St. Anne’s University Hospital, Pekařská 53, 656 91 Brno, Czech Republic
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Schneider S, Jølck RI, Troost EGC, Hoffmann AL. Quantification of MRI visibility and artifacts at 3T of liquid fiducial marker in a pancreas tissue-mimicking phantom. Med Phys 2017; 45:37-47. [DOI: 10.1002/mp.12670] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2017] [Revised: 10/20/2017] [Accepted: 10/25/2017] [Indexed: 12/17/2022] Open
Affiliation(s)
- Sergej Schneider
- Institute of Radiooncology - OncoRay; Helmholtz-Zentrum Dresden-Rossendorf; Dresden Germany
- OncoRay - National Center for Radiation Research in Oncology; Faculty of Medicine; University Hospital Carl Gustav Carus; Technische Universität Dresden; Helmholtz-Zentrum Dresden-Rossendorf; Dresden Germany
| | - Rasmus Irming Jølck
- Nanovi Radiotherapy A/S; DK-2800 Kongens Lyngby Denmark
- Department of Micro- and Nanotechnology; Center for Nanomedicine and Theranostics; Technical University of Denmark; Building 423 DK-2800 Kongens. Lyngby Denmark
| | - Esther Gera Cornelia Troost
- Institute of Radiooncology - OncoRay; Helmholtz-Zentrum Dresden-Rossendorf; Dresden Germany
- OncoRay - National Center for Radiation Research in Oncology; Faculty of Medicine; University Hospital Carl Gustav Carus; Technische Universität Dresden; Helmholtz-Zentrum Dresden-Rossendorf; Dresden Germany
- Department of Radiotherapy and Radiation Oncology; Faculty of Medicine; University Hospital Carl Gustav Carus; Technische Universität Dresden; Dresden Germany
- German Cancer Consortium (DKTK), partner site Dresden; German Cancer Research Center (DKFZ); Heidelberg Germany
- National Center for Tumor Diseases (NCT), partner site Dresden; Dresden Germany
| | - Aswin Louis Hoffmann
- Institute of Radiooncology - OncoRay; Helmholtz-Zentrum Dresden-Rossendorf; Dresden Germany
- OncoRay - National Center for Radiation Research in Oncology; Faculty of Medicine; University Hospital Carl Gustav Carus; Technische Universität Dresden; Helmholtz-Zentrum Dresden-Rossendorf; Dresden Germany
- Department of Radiotherapy and Radiation Oncology; Faculty of Medicine; University Hospital Carl Gustav Carus; Technische Universität Dresden; Dresden Germany
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Robertson WD, Porto LR, Ip CJX, Nantel MKT, Tellkamp F, Lu Y, Miller RJD. Note: A simple image processing based fiducial auto-alignment method for sample registration. THE REVIEW OF SCIENTIFIC INSTRUMENTS 2015; 86:086105. [PMID: 26329245 DOI: 10.1063/1.4929408] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/05/2023]
Abstract
A simple method for the location and auto-alignment of sample fiducials for sample registration using widely available MATLAB/LabVIEW software is demonstrated. The method is robust, easily implemented, and applicable to a wide variety of experiment types for improved reproducibility and increased setup speed. The software uses image processing to locate and measure the diameter and center point of circular fiducials for distance self-calibration and iterative alignment and can be used with most imaging systems. The method is demonstrated to be fast and reliable in locating and aligning sample fiducials, provided here by a nanofabricated array, with accuracy within the optical resolution of the imaging system. The software was further demonstrated to register, load, and sample the dynamically wetted array.
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Affiliation(s)
- Wesley D Robertson
- Max Planck Institute for the Structure and Dynamics of Matter, Hamburg 27761, Germany
| | - Lucas R Porto
- Department of Physics and Astronomy, University of British Columbia, Vancouver, British Columbia V6T 1Z4, Canada
| | - Candice J X Ip
- Department of Physics and Astronomy, University of British Columbia, Vancouver, British Columbia V6T 1Z4, Canada
| | - Megan K T Nantel
- Department of Physics and Astronomy, University of British Columbia, Vancouver, British Columbia V6T 1Z4, Canada
| | - Friedjof Tellkamp
- Max Planck Institute for the Structure and Dynamics of Matter, Hamburg 27761, Germany
| | - Yinfei Lu
- Max Planck Institute for the Structure and Dynamics of Matter, Hamburg 27761, Germany
| | - R J Dwayne Miller
- Max Planck Institute for the Structure and Dynamics of Matter, Hamburg 27761, Germany
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McJunkin TR, Trowbridge TL, Wright KE, Scott JR. Integrated fiducial sample mount and software for correlated microscopy. THE REVIEW OF SCIENTIFIC INSTRUMENTS 2014; 85:023701. [PMID: 24593365 DOI: 10.1063/1.4862935] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/03/2023]
Abstract
A novel sample mount design with integrated fiducial marks and software for assisting operators in easily and efficiently locating points of interest established in previous analytical sessions is described. The sample holder and software were evaluated with experiments to demonstrate the utility and ease of finding the same points of interest in two different microscopy instruments. Also, numerical analysis of expected errors in determining the same position with errors unbiased by a human operator was performed. Based on the results, issues related to acquiring reproducibility and best practices for using the sample mount and software were identified. Overall, the sample mount methodology allows data to be efficiently and easily collected on different instruments for the same sample location.
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Affiliation(s)
| | | | - Karen E Wright
- Idaho National Laboratory, Idaho Falls, Idaho 83415, USA
| | - Jill R Scott
- Idaho National Laboratory, Idaho Falls, Idaho 83415, USA
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Kimm SY, Tarin TV, Lee JH, Hu B, Jensen K, Nishimura D, Brooks JD. Methods for registration of magnetic resonance images of ex vivo prostate specimens with histology. J Magn Reson Imaging 2012; 36:206-212. [DOI: 10.1002/jmri.23614] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/30/2023] Open
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Chughtai K, Jiang L, Greenwood TR, Klinkert I, Amstalden van Hove ER, Heeren RMA, Glunde K. Fiducial markers for combined 3-dimensional mass spectrometric and optical tissue imaging. Anal Chem 2012; 84:1817-23. [PMID: 22283706 PMCID: PMC3302962 DOI: 10.1021/ac203373h] [Citation(s) in RCA: 38] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Mass spectrometric imaging (MSI) has become widely used in the analysis of a variety of biological surfaces. Biological samples are spatially, morphologically, and metabolically complex. Multimodal molecular imaging is an emerging approach that is capable of dealing with this complexity. In a multimodal approach, different imaging modalities can provide precise information about the local molecular composition of the surfaces. Images obtained by MSI can be coregistered with images obtained by other molecular imaging techniques such as microscopic images of fluorescent protein expression or histologically stained sections. In order to properly coregister images from different modalities, each tissue section must contain points of reference, which are visible in all data sets. Here, we report a newly developed coregistration technique using fiducial markers such as cresyl violet, Ponceau S, and bromophenol blue that possess a combination of optical and molecular properties that result in a clear mass spectrometric signature. We describe these fiducial markers and demonstrate an application that allows accurate coregistration and 3-dimensional reconstruction of serial histological and fluorescent microscopic images with MSI images of thin tissue sections from a breast tumor model.
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Affiliation(s)
- Kamila Chughtai
- FOM Institute AMOLF, Science Park 104, 1098 XG Amsterdam, The Netherlands
| | - Lu Jiang
- JHU ICMIC Program, The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, 212 Traylor Building, 720 Rutland Avenue, Baltimore, MD 21205, USA
| | - Tiffany R. Greenwood
- JHU ICMIC Program, The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, 212 Traylor Building, 720 Rutland Avenue, Baltimore, MD 21205, USA
| | - Ivo Klinkert
- FOM Institute AMOLF, Science Park 104, 1098 XG Amsterdam, The Netherlands
| | | | - Ron M. A. Heeren
- FOM Institute AMOLF, Science Park 104, 1098 XG Amsterdam, The Netherlands
- The Netherlands Proteomics Centre, P.O. Box 80082, 3508 TB Utrecht, The Netherlands
| | - Kristine Glunde
- JHU ICMIC Program, The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, 212 Traylor Building, 720 Rutland Avenue, Baltimore, MD 21205, USA
- Sidney Kimmel Comprehensive Cancer Center, Johns Hopkins University School of Medicine, Baltimore, MD 21231, USA
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8
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McGrath DM, Vlad RM, Foltz WD, Brock KK. Technical note: fiducial markers for correlation of whole-specimen histopathology with MR imaging at 7 tesla. Med Phys 2010; 37:2321-8. [PMID: 20527566 DOI: 10.1118/1.3395575] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
Abstract
PURPOSE There is increasing interest in the registration of 3-D histopathology with 3-D in vivo imaging, for example, to validate tumor boundary delineation for targeted radiation cancer therapy. However, accurate correlation is compromised by tissue distortion induced by histopathological processing. Reference landmarks that are visible in both data sets are required. In this study, two iridescent acrylic paints, "Bronze" (containing iron oxide coated mica particles) and "Stainless Steel" (containing iron, chromium, and nickel), were evaluated for creating MRI-visible and histology-visible fiducial markers at 7 T, where resolution is more similar to histology, but artifacts are accentuated. Furthermore, a straight-line paint-track fiducial method was developed to assist in registration and 3-D histopathology reconstruction. METHODS First, the paints were injected into ex vivo porcine tissue samples, which were MR imaged prefixation and postfixation, and subsequently prepared for hematoxylin and eosin staining to verify stability through histopathological processing. Second, the severity of marker susceptibility artifacts produced was compared while using spin-echo and gradient-echo MRI pulse sequences. Finally, multiple paint tracks were injected prefixation through an ex vivo canine prostate sample to validate the potential for line-based registration between MR images of prefixation and postfixation tissue and whole mount histology slides. RESULTS The Stainless Steel paint produced excessive susceptibility artifacts and image distortion, while the Bronze paint created stable and appropriate markers in MRI and histology. The Bronze paint produced artifacts approximately three times larger in gradient-echo than in spin-echo MR images. Finally, the paint-track fiducials were visible in the prefixation and postfixation MRI and on whole mount histology. CONCLUSIONS The Bronze iridescent acrylic paint is appropriate for fiducial marker creation in MRI at 7 T. The straight-line paint-track fiducials may assist 3-D histopathology reconstruction and can provide important information on the deformation effects of fixation, and hence may improve registration accuracy.
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Affiliation(s)
- Deirdre M McGrath
- Radiation Medicine Program, Princess Margaret Hospital, University Health Network, Toronto, Ontario M5G 2M9, Canada.
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9
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Optimum slicing of radical prostatectomy specimens for correlation between histopathology and medical images. Int J Comput Assist Radiol Surg 2010; 5:471-87. [DOI: 10.1007/s11548-010-0405-z] [Citation(s) in RCA: 25] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2009] [Accepted: 01/15/2010] [Indexed: 12/13/2022]
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10
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Pauly KB, Diederich CJ, Rieke V, Bouley D, Chen J, Nau WH, Ross AB, Kinsey AM, Sommer G. Magnetic resonance-guided high-intensity ultrasound ablation of the prostate. Top Magn Reson Imaging 2007; 17:195-207. [PMID: 17414077 DOI: 10.1097/rmr.0b013e31803774dd] [Citation(s) in RCA: 68] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
OBJECTIVES This paper describes our work in developing techniques and devices for magnetic resonance (MR)-guided high-intensity ultrasound ablation of the prostate and includes review of relevant literature. METHODS Catheter-based high-intensity ultrasound applicators, in interstitial and transurethral configurations, were developed to be used under MR guidance. Magnetic resonance thermometry and the relevant characteristics and artifacts were evaluated during in vivo thermal ablation of the prostate in 10 animals. Contrast-enhanced MR imaging (MRI) and diffusion-weighted MRI were used to assess tissue damage and compared with histology. RESULTS During evaluation of these applicators, MR thermometry was used to monitor the temperature distributions in the prostate in real time. Magnetic resonance-derived maximum temperature thresholds of 52 degrees C and thermal dose thresholds of 240 minutes were used to control the extent of treatment and qualitatively correlated well with posttreatment imaging studies and histology. The directional transurethral devices are selective in their ability to target well-defined regions of the prostate gland and can be rotated in discrete steps to conform treatment to prescribed boundaries. The curvilinear applicator is the most precise of these directional techniques. Multisectored transurethral applicators, with dynamic angular control of heating and no rotation requirements, offer a fast and less complex means of treatment with less selective contouring. CONCLUSIONS The catheter-based ultrasound devices can produce spatially selective regions of thermal destruction in prostate. The MR thermal imaging and thermal dose maps, obtained in multiple slices through the target volume, are useful for controlling therapy delivery (rotation, power levels, duration). Contrast-enhanced T1-weighted MRI and diffusion-weighted imaging are useful tools for assessing treatment.
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Affiliation(s)
- Kim Butts Pauly
- Department of Radiology, Stanford University, Stanford, CA 94305-5488, USA.
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Yankeelov TE, Gore JC. Dynamic Contrast Enhanced Magnetic Resonance Imaging in Oncology: Theory, Data Acquisition, Analysis, and Examples. Curr Med Imaging 2007; 3:91-107. [PMID: 19829742 DOI: 10.2174/157340507780619179] [Citation(s) in RCA: 284] [Impact Index Per Article: 16.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Dynamic contrast enhanced MRI (DCE-MRI) enables the quantitative assessment of tumor status and has found application in both pre-clinical tumor models as well as clinical oncology. DCE-MRI requires the serial acquisition of images before and after the injection of a paramagnetic contrast agent so that the variation of MR signal intensity with time can be recorded for each image voxel. As the agent enters into a tissue, it changes the MR signal intensity from the tissue to a degree that depends on the local concentration. After the agent is transported out of the tissue, the MR signal intensity returns to its' baseline value. By analyzing the associated signal intensity time course using an appropriate mathematical model, physiological parameters related to blood flow, vessel permeability, and tissue volume fractions can be extracted for each voxel or region of interest.In this review we first discuss the basic physics of this methodology, and then present technical aspects of how DCE-MRI data are acquired and analyzed. We also discuss appropriate models of contrast agent kinetics and how these can be used to elucidate tissue characteristics of importance in cancer biology. We conclude by briefly summarizing some future goals and demands of DCE-MRI.
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