DocumentCode :
1312848
Title :
Statistical image reconstruction in PET with compensation for missing data
Author :
Kinahan, PE ; Fessler, JA ; Karp, JS
Author_Institution :
Dept. of Radiol., Pittsburgh Univ., PA, USA
Volume :
44
Issue :
4
fYear :
1997
fDate :
8/1/1997 12:00:00 AM
Firstpage :
1552
Lastpage :
1557
Abstract :
We present the results of combining volume imaging with the PENN-PET scanner with statistical image reconstruction methods such as the penalized weighted least squares (PWLS) method. The goal of this particular combination is to improve both classification and estimation tasks in PET imaging protocols where image quality is dominated by spatially-variant system responses and/or measurement statistics. The PENN-PET scanner has strongly spatially-varying system behavior due to its volume imaging design and the presence of detector gaps. Statistical methods are easily adapted to this scanner geometry, including the detector gaps, and have also been shown to have improved bias/variance trade-offs compared to the standard filtered-backprojection (FBP) reconstruction method. The PWLS method requires fewer iterations and may be more tolerant of errors in the system model than other statistical methods. We present results demonstrating the improvement in image quality for PWLS image reconstructions of data from the PENN-PET scanner
Keywords :
filtering theory; image classification; image reconstruction; image resolution; iterative methods; least squares approximations; medical image processing; positron emission tomography; statistical analysis; PENN-PET scanner; PET; PET imaging protocols; PWLS image reconstructions; classification; detector gaps; estimation tasks; image quality; improved bias/variance trade-offs; measurement statistics; missing data compensation; penalized weighted least squares method; scanner geometry; spatially-variant system responses; standard filtered-backprojection reconstruction method; statistical image reconstruction; volume imaging; Detectors; Geometry; Image quality; Image reconstruction; Least squares methods; Particle measurements; Positron emission tomography; Protocols; Statistical analysis; Statistics;
fLanguage :
English
Journal_Title :
Nuclear Science, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9499
Type :
jour
DOI :
10.1109/23.632729
Filename :
632729
Link To Document :
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