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Proceedings Paper

Acquisition of priori tissue optical structure based on non-rigid image registration
Author(s): Wenbo Wan; Jiao Li; Lingling Liu; Yihan Wang; Yan Zhang; Feng Gao
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Paper Abstract

Shape-parameterized diffuse optical tomography (DOT), which is based on a priori that assumes the uniform distribution of the optical properties in the each region, shows the effectiveness of complex biological tissue optical heterogeneities reconstruction. The priori tissue optical structure could be acquired with the assistance of anatomical imaging methods such as X-ray computed tomography (XCT) which suffers from low-contrast for soft tissues including different optical characteristic regions. For the mouse model, a feasible strategy of a priori tissue optical structure acquisition is proposed based on a non-rigid image registration algorithm. During registration, a mapping matrix is calculated to elastically align the XCT image of reference mouse to the XCT image of target mouse. Applying the matrix to the reference atlas which is a detailed mesh of organs/tissues in reference mouse, registered atlas can be obtained as the anatomical structure of target mouse. By assigning the literature published optical parameters of each organ to the corresponding anatomical structure, optical structure of the target organism can be obtained as a priori information for DOT reconstruction algorithm. By applying the non-rigid image registration algorithm to a target mouse which is transformed from the reference mouse, the results show that the minimum correlation coefficient can be improved from 0.2781 (before registration) to 0.9032 (after fine registration), and the maximum average Euclid distances can be decreased from 12.80mm (before registration) to 1.02mm (after fine registration), which has verified the effectiveness of the algorithm.

Paper Details

Date Published: 5 March 2015
PDF: 8 pages
Proc. SPIE 9316, Multimodal Biomedical Imaging X, 93160O (5 March 2015); doi: 10.1117/12.2075710
Show Author Affiliations
Wenbo Wan, Tianjin Univ. (China)
Jiao Li, Tianjin Univ. (China)
Tianjin Key Lab. of Biomedical Detecting Techniques and Instruments (China)
Lingling Liu, Tianjin Univ. (China)
Yihan Wang, Tianjin Univ. (China)
Yan Zhang, Tianjin Univ. (China)
Feng Gao, Tianjin Univ. (China)
Tianjin Key Lab. of Biomedical Detecting Techniques and Instruments (China)


Published in SPIE Proceedings Vol. 9316:
Multimodal Biomedical Imaging X
Fred S. Azar; Xavier Intes, Editor(s)

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