An Epipolar Based Algorithm for Respiratory Signal Extraction of Small Animal CT
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A respiratory signal extraction algorithm of small animal CT is presented in this paper. Based on the epipolar geometry, this algorithm uses the redundancies in X-ray imaging system to determine the phase of certain projection image in a breathing cycle by calculating the consistency relationship between two projection images. Other than the respiratory gating method supported by hardware, the respiratory signals by this algorithm come only from analysis of the projection images. The simulation results and in vivo experiments demonstrate the reliability and validity of the proposed method, and when the chosen projection images are guided by this respiratory signal, the reconstruction outcome indicates that the streak artifacts brought by the movements of objects are successfully suppressed.
KeywordsSmall animal CT Streak artifacts Respiratory signal Redundancy Epipolar
This work was supported in part by National Key R&D Program of China (2017YFA0104302), and Collaborative Innovation Center of Suzhou Nano Science and Technology of Southeast University.
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