TY - GEN
T1 - Use of anatomical information in a Bayesian reconstruction with an edge-preserving median prior
AU - Huang, Hsuan Ming
AU - Hsiao, Ing Tsung
PY - 2012
Y1 - 2012
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84881591984&partnerID=8YFLogxK
U2 - 10.1109/NSSMIC.2012.6551756
DO - 10.1109/NSSMIC.2012.6551756
M3 - 会议稿件
AN - SCOPUS:84881591984
SN - 9781467320306
T3 - IEEE Nuclear Science Symposium Conference Record
SP - 3321
EP - 3323
BT - 2012 IEEE Nuclear Science Symposium and Medical Imaging Conference Record, NSS/MIC 2012
T2 - 2012 IEEE Nuclear Science Symposium and Medical Imaging Conference Record, NSS/MIC 2012
Y2 - 29 October 2012 through 3 November 2012
ER -