Paper
10 February 2011 Fully parallel adaptive finite element simulation using the simplified spherical harmonics approximations for frequency-domain fluorescence-enhanced optical imaging
Yujie Lu, Banghe Zhu, Haiou Shen, John C. Rasmussen, Ge Wang, Eva M. Sevick-Muraca
Author Affiliations +
Proceedings Volume 7892, Multimodal Biomedical Imaging VI; 78920F (2011) https://doi.org/10.1117/12.873587
Event: SPIE BiOS, 2011, San Francisco, California, United States
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.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yujie Lu, Banghe Zhu, Haiou Shen, John C. Rasmussen, Ge Wang, and Eva M. Sevick-Muraca "Fully parallel adaptive finite element simulation using the simplified spherical harmonics approximations for frequency-domain fluorescence-enhanced optical imaging", Proc. SPIE 7892, Multimodal Biomedical Imaging VI, 78920F (10 February 2011); https://doi.org/10.1117/12.873587
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KEYWORDS
Monte Carlo methods

Chemical elements

Photon transport

Computer simulations

Phase shifts

Optical imaging

Reconstruction algorithms

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