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Performance test methods for near‐infrared fluorescence imaging
PURPOSE: Near‐infrared fluorescence (NIRF) imaging using exogenous contrast has gained much attention as a technique for enhancing visualization of vasculature using untargeted agents, as well as for the detection and localization of cancer with targeted agents. In order to address the emerging need...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7496362/ https://www.ncbi.nlm.nih.gov/pubmed/32304583 http://dx.doi.org/10.1002/mp.14189 |
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author | Kanniyappan, Udayakumar Wang, Bohan Yang, Charles Ghassemi, Pejhman Litorja, Maritoni Suresh, Nitin Wang, Quanzeng Chen, Yu Pfefer, T. Joshua |
author_facet | Kanniyappan, Udayakumar Wang, Bohan Yang, Charles Ghassemi, Pejhman Litorja, Maritoni Suresh, Nitin Wang, Quanzeng Chen, Yu Pfefer, T. Joshua |
author_sort | Kanniyappan, Udayakumar |
collection | PubMed |
description | PURPOSE: Near‐infrared fluorescence (NIRF) imaging using exogenous contrast has gained much attention as a technique for enhancing visualization of vasculature using untargeted agents, as well as for the detection and localization of cancer with targeted agents. In order to address the emerging need for standardization of NIRF imaging technologies, it is necessary to identify the best practices suitable for objective, quantitative testing of key image quality characteristics. Toward the development of a battery of test methods that are rigorous yet applicable to a wide variety of devices, we have evaluated techniques for phantom design, measurement, and calculation of specific performance metrics. METHODS: Using a NIRF imaging system for indocyanine green imaging, providing excitation at 780 nm and detection above 830 nm, we explored methods to evaluate uniformity, field of view, spectral crosstalk, spatial resolution, depth of field, sensitivity, linearity, and penetration depth. These measurements were performed using fluorophore‐doped multiwell plate and high turbidity planar phantoms, as well as a 3D‐printed multichannel phantom and a USAF 1951 resolution target. RESULTS AND CONCLUSIONS: Based on a wide range of approaches described in medical and fluorescence imaging literature, we have developed and demonstrated a cohesive battery of test methods for evaluation of fluorescence image quality in wide‐field imagers. We also propose a number of key metrics that can facilitate direct, quantitative comparison of device performance. These methods have the potential to facilitate more uniform evaluation and inter‐comparison of clinical and preclinical imaging systems than is typically achieved, with the long‐term goal of establishing international standards for fluorescence image quality assessment. |
format | Online Article Text |
id | pubmed-7496362 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-74963622020-09-25 Performance test methods for near‐infrared fluorescence imaging Kanniyappan, Udayakumar Wang, Bohan Yang, Charles Ghassemi, Pejhman Litorja, Maritoni Suresh, Nitin Wang, Quanzeng Chen, Yu Pfefer, T. Joshua Med Phys QUANTITATIVE IMAGING AND IMAGE PROCESSING PURPOSE: Near‐infrared fluorescence (NIRF) imaging using exogenous contrast has gained much attention as a technique for enhancing visualization of vasculature using untargeted agents, as well as for the detection and localization of cancer with targeted agents. In order to address the emerging need for standardization of NIRF imaging technologies, it is necessary to identify the best practices suitable for objective, quantitative testing of key image quality characteristics. Toward the development of a battery of test methods that are rigorous yet applicable to a wide variety of devices, we have evaluated techniques for phantom design, measurement, and calculation of specific performance metrics. METHODS: Using a NIRF imaging system for indocyanine green imaging, providing excitation at 780 nm and detection above 830 nm, we explored methods to evaluate uniformity, field of view, spectral crosstalk, spatial resolution, depth of field, sensitivity, linearity, and penetration depth. These measurements were performed using fluorophore‐doped multiwell plate and high turbidity planar phantoms, as well as a 3D‐printed multichannel phantom and a USAF 1951 resolution target. RESULTS AND CONCLUSIONS: Based on a wide range of approaches described in medical and fluorescence imaging literature, we have developed and demonstrated a cohesive battery of test methods for evaluation of fluorescence image quality in wide‐field imagers. We also propose a number of key metrics that can facilitate direct, quantitative comparison of device performance. These methods have the potential to facilitate more uniform evaluation and inter‐comparison of clinical and preclinical imaging systems than is typically achieved, with the long‐term goal of establishing international standards for fluorescence image quality assessment. John Wiley and Sons Inc. 2020-06-01 2020-08 /pmc/articles/PMC7496362/ /pubmed/32304583 http://dx.doi.org/10.1002/mp.14189 Text en © 2020 The Authors. Medical Physics published by Wiley Periodicals, Inc. on behalf of American Association of Physicists in Medicine. This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc-nd/4.0/ License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made. |
spellingShingle | QUANTITATIVE IMAGING AND IMAGE PROCESSING Kanniyappan, Udayakumar Wang, Bohan Yang, Charles Ghassemi, Pejhman Litorja, Maritoni Suresh, Nitin Wang, Quanzeng Chen, Yu Pfefer, T. Joshua Performance test methods for near‐infrared fluorescence imaging |
title | Performance test methods for near‐infrared fluorescence imaging |
title_full | Performance test methods for near‐infrared fluorescence imaging |
title_fullStr | Performance test methods for near‐infrared fluorescence imaging |
title_full_unstemmed | Performance test methods for near‐infrared fluorescence imaging |
title_short | Performance test methods for near‐infrared fluorescence imaging |
title_sort | performance test methods for near‐infrared fluorescence imaging |
topic | QUANTITATIVE IMAGING AND IMAGE PROCESSING |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7496362/ https://www.ncbi.nlm.nih.gov/pubmed/32304583 http://dx.doi.org/10.1002/mp.14189 |
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