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Proceedings Paper

A finite element mesh regrouping-based hybrid light transport model for enhancing the efficiency and accuracy in bioluminescence tomography
Author(s): Yanqiu Liu; Hongbo Guo; Hengna Zhao; Yuqing Hou; Xiaowei He
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Paper Abstract

Bioluminescence tomography (BLT) is a promising molecular imaging tool in monitoring non-invasively physiological and pathological processes in vivo at the cellular and molecular levels. And the radiative transfer equation (RTE) has successfully been used as a standard model for describing the propagation of visible and near infrared photons trough biological tissues. However in practical application, implementation of RTE is extremely complicated for complex biological tissue. And several approximations of the RTE were applied to model the light transport in a turbid medium, such as the diffusion equation (DE) and the simplified spherical harmonic approximation equation (SPN). However, DE provides a high computational efficiency and is only valid in the high scattering region, while SPN has a large demand for memory space, which makes it difficult for SPN to be used on the fine mesh and limits its application in practice. In this paper, we provided a new finite element mesh regrouping-based hybrid light transport model in BLT. Based on the optical property of biological tissue, the finite element mesh were grouped into high-scattering and low-scattering regions. And based on the theory of light transport, hybrid third-order simplified spherical harmonic approximate–diffusion equation model (HSDM) was used to forward light transport model. In numerical simulation experiments, accuracy and efficiency of our proposed method were evaluated. Results showed that the hybrid light transport model achieved a better balance between accuracy and efficiency compared with the DE and the SP3 models. And it was best suited as a light transport model for Bioluminescence Tomography.

Paper Details

Date Published: 16 March 2020
PDF: 10 pages
Proc. SPIE 11312, Medical Imaging 2020: Physics of Medical Imaging, 113122H (16 March 2020); doi: 10.1117/12.2549882
Show Author Affiliations
Yanqiu Liu, Northwest Univ. (China)
Xi'an Key Lab. of Radiomics and Intelligent Perception (China)
Hongbo Guo, Northwest Univ. (China)
Xi'an Key Lab. of Radiomics and Intelligent Perception (China)
Hengna Zhao, Northwest Univ. (China)
Xi'an Key Lab. of Radiomics and Intelligent Perception (China)
Yuqing Hou, Northwest Univ. (China)
Xi'an Key Lab. of Radiomics and Intelligent Perception (China)
Xiaowei He, Northwest Univ. (China)
Xi'an Key Lab. of Radiomics and Intelligent Perception (China)


Published in SPIE Proceedings Vol. 11312:
Medical Imaging 2020: Physics of Medical Imaging
Guang-Hong Chen; Hilde Bosmans, Editor(s)

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