Use of anatomical information in a Bayesian reconstruction with an edge-preserving median prior

Hsuan Ming Huang, Ing Tsung Hsiao

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

We have previously proposed a maximum a posteriori (MAP) reconstruction with a median prior using convergent ordered subsets expectation maximum algorithm, called MAPCOSEM-MP. In contrast to the smoothing prior that imposes global smoothness, the median prior enhances edges and simultaneously retains local smoothness. Herein, we use simulations to investigate whether the incorporation of anatomical information in MAPCOSEM-MP can provide more accurate quantitation. The simulation results show that the introduction of anatomical information in the MAPCOSEM-MP reconstruction can further improve the quantitation as well as the image quality. Moreover, we find that the anatomy-based MAPCOSEM-MP reconstruction is less sensitive to registration errors of 1 to 2 pixels between functional and anatomical images. This finding may indicate that MAPCOSEM-MP has the ability to reduce artifacts caused by inaccurate registration. We expect that the improved performance in quantitation could provide better image quality for disease detection.

Original languageEnglish
Title of host publication2012 IEEE Nuclear Science Symposium and Medical Imaging Conference Record, NSS/MIC 2012
Pages3321-3323
Number of pages3
DOIs
StatePublished - 2012
Event2012 IEEE Nuclear Science Symposium and Medical Imaging Conference Record, NSS/MIC 2012 - Anaheim, CA, United States
Duration: 29 10 201203 11 2012

Publication series

NameIEEE Nuclear Science Symposium Conference Record
ISSN (Print)1095-7863

Conference

Conference2012 IEEE Nuclear Science Symposium and Medical Imaging Conference Record, NSS/MIC 2012
Country/TerritoryUnited States
CityAnaheim, CA
Period29/10/1203/11/12

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