Iterative Reconstruction Method for Irregular Object

Jing Zou,Jianbao Gui,Zhanli Hu,Qiyang Zhang

Computer Science and Information Processing（2012）

Paul Lauterbur Center for Biomed. Imaging Res.

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摘要

Conventional CT reconstruction algorithm, filtered-backprojection (FBP), requires the projection data acquired within the angular range from 0 to 2pi. However, for an irregular object, the data acquired at some projection views may be not available due to the detector saturation. In this work, we proposed a method to optimize the current patterns for obtaining two sets of complementary attenuation data and to employ an iterative method based on equation and inequality to improve the reconstruction quality. The simulation results obtained from the projection data, which are generated by use of the GEANT toolkit, show that the uses of optimal current scanning method and the corresponding iterative reconstruction method can yield the accuracy images with lower noise level.

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关键词

computerised tomography,image reconstruction,iterative methods,medical image processing,CT reconstruction algorithm,EANT toolkit,FBP,complementary attenuation data,computed tomography,detector saturation,equation,filtered-backprojection,inequality,irregular object,iterative reconstruction method,optimal current scanning method,projection data,Image reconstruction,detector saturation,iterative algorithms