Accelerating fDOT image reconstruction based on path-history fluorescence Monte Carlo model by using three-level parallel architecture-Reference-Cited by-同舟云学术

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Accelerating fDOT image reconstruction based on path-history fluorescence Monte Carlo model by using three-level parallel architecture

Published:2015-09-24 Issue:20 Volume:23 Page:25996
ISSN:1094-4087
Container-title:Optics Express
language:en
Short-container-title:Opt. Express

Author:

Jiang Xu,Deng Yong,Luo Zhaoyang,Luo Qingming

Funder

National Key Scientific Instrument & Equipment Development Program of China

National Major Scientific Research Program of China

National Natural Science Fund

Science Fund for Creative Research Group

Publisher

The Optical Society

Subject

Atomic and Molecular Physics, and Optics

Reference28 articles.

1. Three-dimensional in vivo fluorescence diffuse optical tomography of breast cancer in humans

2. FLUORESCENCE MOLECULAR IMAGING

3. Dynamic dual-tracer MRI-guided fluorescence tomography to quantify receptor density in vivo

4. Review of Monte Carlo modeling of light transport in tissues

5. MCVM: MONTE CARLO MODELING OF PHOTON MIGRATION IN VOXELIZED MEDIA

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1. Incomplete angle reconstruction algorithm with the sparse optimization and the image optimal criterions;International Journal of Advanced Robotic Systems;2020-05-01

2. Parallel computing in experimental mechanics and optical measurement: A review (II);Optics and Lasers in Engineering;2018-05

3. Research Progress of Fluorescence Molecular Tomography in Image Resconstruction;Chinese Journal of Lasers;2018

4. Path-based preprocess method for accelerating decoupled fluorescence Monte Carlo simulation;International Conference on Photonics and Imaging in Biology and Medicine;2017

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