Data preprocessing method for fluorescence molecular tomography using a priori information provided by CT
作者： Jianwei Fu , Xiaoquan Yang , Yuanzheng Meng , Qingming Luo , Hui Gong
关键词: Fluorescence molecular tomography 、 A priori and a posteriori 、 X-ray microtomography 、 Ray tracing (graphics) 、 Detector 、 Monte Carlo method 、 Computer science 、 Computer vision 、 Inverse 、 Artificial intelligence 、 Data pre-processing
摘要: The combined system of micro-CT and fluorescence molecular tomography (FMT) offers a new tool to provide anatomical functional information small animals in single study. To take advantages the system, data preprocessing method is proposed extract valid for FMT reconstruction algorithms using priori provided by CT. boundary animal holder extracted from reconstructed CT volume data. A ray tracing used trace path excitation beam, calculate locations directions optional sources determine whether are valid. accurately projections detectors on optical images judge their validity, combination perspective projection inverse adopted offer optimal performance. imaging performance with presented validated through experimental rat imaging.
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