Spatially Variant Resolution Modelling for Iterative List-Mode PET Reconstruction

被引：0
|
作者：
Bickell, Matthew G. [1 ]
Zhou, Lin [1 ]
Nuyts, Johan [1 ]
机构：
[1] Katholieke Univ Leuven, Dept Nucl Med, Med Imaging Res Ctr, Leuven, Belgium
来源：
2013 IEEE NUCLEAR SCIENCE SYMPOSIUM AND MEDICAL IMAGING CONFERENCE (NSS/MIC) | 2013年
关键词：
IMAGE-RECONSTRUCTION; MATHEMATICAL REMOVAL; BIOGRAPH MCT; EM ALGORITHM; SYSTEM;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
A spatially variant resolution modelling technique is presented which estimates the system matrix on-the-tly. The method randomly redistributes the line-of-response endpoints according to probability density functions describing the detector response and photon acollinearity effects. A list-mode OSEM algorithm is used for the reconstruction. We demonstrate that this model agrees with measured Pit's and we present results showing an improvement in resolution recovery as compared to using a Gaussian convolution to model the resolution, although with an increase in noise. We also present results from applying this method to event-by-event rigid motion correction with list-mode reconstruction using the microPET Focus220 seamier.
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页数：6
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