Iterative Reconstruction Method for Irregular Object
Conventional CT reconstruction algorithm,filteredbackprojection (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.
Image reconstruction iterative algorithms detector saturation
Jing Zou Jianbao Gui Junyan Rong Zhanli Hu Qiyang Zhang Dan Xia
Paul C. Lauterbur Research Center for Biomedical Imaging,Institute of Biomedical and Health Engineering Key Lab for Biomedical Informatics and Health Engineering,Shenzhen Institutes of Advanced Technology,Chinese Academy of Sciences
国际会议
西安
英文
2591-2594
2011-12-23（万方平台首次上网日期，不代表论文的发表时间）