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Multispectral Differential Reconstruction Strategy for Bioluminescence Tomography
Bioluminescence tomography (BLT) is a promising in vivo molecular imaging tool that allows non-invasive monitoring of physiological and pathological processes at the cellular and molecular levels. However, the accuracy of the BLT reconstruction is significantly affected by the forward modeling error...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8895370/ https://www.ncbi.nlm.nih.gov/pubmed/35251958 http://dx.doi.org/10.3389/fonc.2022.768137 |
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author | Liu, Yanqiu Chu, Mengxiang Guo, Hongbo Hu, Xiangong Yu, Jingjing He, Xuelei Yi, Huangjian He, Xiaowei |
author_facet | Liu, Yanqiu Chu, Mengxiang Guo, Hongbo Hu, Xiangong Yu, Jingjing He, Xuelei Yi, Huangjian He, Xiaowei |
author_sort | Liu, Yanqiu |
collection | PubMed |
description | Bioluminescence tomography (BLT) is a promising in vivo molecular imaging tool that allows non-invasive monitoring of physiological and pathological processes at the cellular and molecular levels. However, the accuracy of the BLT reconstruction is significantly affected by the forward modeling errors in the simplified photon propagation model, the measurement noise in data acquisition, and the inherent ill-posedness of the inverse problem. In this paper, we present a new multispectral differential strategy (MDS) on the basis of analyzing the errors generated from the simplification from radiative transfer equation (RTE) to diffusion approximation and data acquisition of the imaging system. Through rigorous theoretical analysis, we learn that spectral differential not only can eliminate the errors caused by the approximation of RTE and imaging system measurement noise but also can further increase the constraint condition and decrease the condition number of system matrix for reconstruction compared with traditional multispectral (TM) reconstruction strategy. In forward simulations, energy differences and cosine similarity of the measured surface light energy calculated by Monte Carlo (MC) and diffusion equation (DE) showed that MDS can reduce the systematic errors in the process of light transmission. In addition, in inverse simulations and in vivo experiments, the results demonstrated that MDS was able to alleviate the ill-posedness of the inverse problem of BLT. Thus, the MDS method had superior location accuracy, morphology recovery capability, and image contrast capability in the source reconstruction as compared with the TM method and spectral derivative (SD) method. In vivo experiments verified the practicability and effectiveness of the proposed method. |
format | Online Article Text |
id | pubmed-8895370 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-88953702022-03-05 Multispectral Differential Reconstruction Strategy for Bioluminescence Tomography Liu, Yanqiu Chu, Mengxiang Guo, Hongbo Hu, Xiangong Yu, Jingjing He, Xuelei Yi, Huangjian He, Xiaowei Front Oncol Oncology Bioluminescence tomography (BLT) is a promising in vivo molecular imaging tool that allows non-invasive monitoring of physiological and pathological processes at the cellular and molecular levels. However, the accuracy of the BLT reconstruction is significantly affected by the forward modeling errors in the simplified photon propagation model, the measurement noise in data acquisition, and the inherent ill-posedness of the inverse problem. In this paper, we present a new multispectral differential strategy (MDS) on the basis of analyzing the errors generated from the simplification from radiative transfer equation (RTE) to diffusion approximation and data acquisition of the imaging system. Through rigorous theoretical analysis, we learn that spectral differential not only can eliminate the errors caused by the approximation of RTE and imaging system measurement noise but also can further increase the constraint condition and decrease the condition number of system matrix for reconstruction compared with traditional multispectral (TM) reconstruction strategy. In forward simulations, energy differences and cosine similarity of the measured surface light energy calculated by Monte Carlo (MC) and diffusion equation (DE) showed that MDS can reduce the systematic errors in the process of light transmission. In addition, in inverse simulations and in vivo experiments, the results demonstrated that MDS was able to alleviate the ill-posedness of the inverse problem of BLT. Thus, the MDS method had superior location accuracy, morphology recovery capability, and image contrast capability in the source reconstruction as compared with the TM method and spectral derivative (SD) method. In vivo experiments verified the practicability and effectiveness of the proposed method. Frontiers Media S.A. 2022-02-18 /pmc/articles/PMC8895370/ /pubmed/35251958 http://dx.doi.org/10.3389/fonc.2022.768137 Text en Copyright © 2022 Liu, Chu, Guo, Hu, Yu, He, Yi and He https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Oncology Liu, Yanqiu Chu, Mengxiang Guo, Hongbo Hu, Xiangong Yu, Jingjing He, Xuelei Yi, Huangjian He, Xiaowei Multispectral Differential Reconstruction Strategy for Bioluminescence Tomography |
title | Multispectral Differential Reconstruction Strategy for Bioluminescence Tomography |
title_full | Multispectral Differential Reconstruction Strategy for Bioluminescence Tomography |
title_fullStr | Multispectral Differential Reconstruction Strategy for Bioluminescence Tomography |
title_full_unstemmed | Multispectral Differential Reconstruction Strategy for Bioluminescence Tomography |
title_short | Multispectral Differential Reconstruction Strategy for Bioluminescence Tomography |
title_sort | multispectral differential reconstruction strategy for bioluminescence tomography |
topic | Oncology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8895370/ https://www.ncbi.nlm.nih.gov/pubmed/35251958 http://dx.doi.org/10.3389/fonc.2022.768137 |
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