In vivo simulation environment for fluorescence molecular tomography using Monte Carlo method

Yizhai Zhang; Qiong Xu; Jin Li; Shaojie Tang; Xin Zhang

doi:10.1117/12.807008

26 January 2009 In vivo simulation environment for fluorescence molecular tomography using Monte Carlo method

Yizhai Zhang, Qiong Xu, Jin Li, Shaojie Tang, Xin Zhang

Proceedings Volume 7156, 2008 International Conference on Optical Instruments and Technology: Optical Systems and Optoelectronic Instruments; 715607 (2009) https://doi.org/10.1117/12.807008
Event: International Conference of Optical Instrument and Technology, 2008, Beijing, China

Abstract

Optical sensing of specific molecular target using near-infrared light has been recognized to be the crucial technology, have changing human's future. The imaging of Fluorescence Molecular Tomography is the most novel technology in optical sensing. It uses near-infrared light(600-900nm) as instrument and utilize fluorochrome as probe to take noncontact three-dimensional imaging for live molecular targets and to exhibit molecular process in vivo. In order to solve the problem of forward simulation in FMT, this paper mainly introduces a new simulation modeling. The modeling utilizes Monte Carlo method and is implemented in C++ programming language. Ultimately its accuracy has been testified by comparing with analytic solutions and MOSE from University of Iowa and Chinese Academy of Science. The main characters of the modeling are that it can simulate both of bioluminescent imaging and FMT and take analytic calculation and support more than one source and CCD detector simultaneously. It can generate sufficient and proper data and pre-preparation for the study of fluorescence molecular tomography.

Citation Download Citation

Yizhai Zhang, Qiong Xu, Jin Li, Shaojie Tang, and Xin Zhang "In vivo simulation environment for fluorescence molecular tomography using Monte Carlo method", Proc. SPIE 7156, 2008 International Conference on Optical Instruments and Technology: Optical Systems and Optoelectronic Instruments, 715607 (26 January 2009); https://doi.org/10.1117/12.807008

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KEYWORDS

Monte Carlo methods

Luminescence

Bioluminescence

Charge-coupled devices

Tissue optics

Tomography

Computer simulations

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