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Proceedings Paper

Fully parallel adaptive finite element simulation using the simplified spherical harmonics approximations for frequency-domain fluorescence-enhanced optical imaging
Author(s): Yujie Lu; Banghe Zhu; Haiou Shen; John C. Rasmussen; Ge Wang; Eva M. Sevick-Muraca
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Paper Abstract

Fluorescence-enhanced optical imaging/tomography may play an important role in preclinical research and clinical diagnostics as a type of optical molecular. Time- and frequency-domain measurement can acquire more measurement information, reducing the ill-posedness and improving the reconstruction quality of fluorescence-enhanced optical tomography. Although the diffusion approximation (DA) theory has been extensively in optical imaging, high-order photon migration models must be further investigated for application to complex and small tissue volumes. In this paper, a frequency-domain fully parallel adaptive finite element solver is developed with the simplified spherical harmonics (SPN) approximations. To fully evaluate the performance of the SPN approximations, a fast tetrahedron-based Monte Carlo simulator suitable for complex heterogeneous geometries is developed using the convolution strategy to realize the simulation of the fluorescence excitation and emission. With simple and real digital mouse phantoms, the results show that the significant precision and speed improvements are obtained from the parallel adaptive mesh evolution strategy.

Paper Details

Date Published: 10 February 2011
PDF: 10 pages
Proc. SPIE 7892, Multimodal Biomedical Imaging VI, 78920F (10 February 2011); doi: 10.1117/12.873587
Show Author Affiliations
Yujie Lu, The Univ. of Texas Health Science Ctr. at Houston (United States)
Banghe Zhu, The Univ. of Texas Health Science Ctr. at Houston (United States)
Haiou Shen, Virginia Polytechnic Institute and State Univ. (United States)
John C. Rasmussen, The Univ. of Texas Health Science Ctr. at Houston (United States)
Ge Wang, Virginia Polytechnic Institute and State Univ. (United States)
Eva M. Sevick-Muraca, The Univ. of Texas Health Science Ctr. at Houston (United States)


Published in SPIE Proceedings Vol. 7892:
Multimodal Biomedical Imaging VI
Fred S. Azar; Xavier Intes, Editor(s)

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