TY - GEN
T1 - Improved noise propagation in statistical image reconstruction with resolution modeling
AU - Rahmim, Arman
AU - Cheng, Ju Chieh
AU - Sossi, Vesna
PY - 2005/12/1
Y1 - 2005/12/1
N2 - Positron emission tomography (PET), like other imaging modalities, has resolution limitations. Two general/common approaches to improve reconstructed image resolution include: (i) the de-convolution scheme, and (ii) system matrix modeling (in statistical image reconstruction methods). An interesting observation about (ii) is that it is able to improve both resolution and noise characteristics of the reconstructed images (unlike (i) which offers a trade-off). In this work, we have used the unified noise model developed by Qi [5] to perform image covariance calculations without and with the inclusion of resolution modeling in the system matrix of the EM algorithm. We have in particular shown that, while system matrix modeling of finite resolution effects improves the image resolution by direct contribution to the reconstruction task, it is at the same time able to lower the reconstructed image noise due to a compression/widening effect in inter-voxel correlations. We have also experimentally verified this effect.
AB - Positron emission tomography (PET), like other imaging modalities, has resolution limitations. Two general/common approaches to improve reconstructed image resolution include: (i) the de-convolution scheme, and (ii) system matrix modeling (in statistical image reconstruction methods). An interesting observation about (ii) is that it is able to improve both resolution and noise characteristics of the reconstructed images (unlike (i) which offers a trade-off). In this work, we have used the unified noise model developed by Qi [5] to perform image covariance calculations without and with the inclusion of resolution modeling in the system matrix of the EM algorithm. We have in particular shown that, while system matrix modeling of finite resolution effects improves the image resolution by direct contribution to the reconstruction task, it is at the same time able to lower the reconstructed image noise due to a compression/widening effect in inter-voxel correlations. We have also experimentally verified this effect.
UR - http://www.scopus.com/inward/record.url?scp=33846590171&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=33846590171&partnerID=8YFLogxK
U2 - 10.1109/NSSMIC.2005.1596864
DO - 10.1109/NSSMIC.2005.1596864
M3 - Conference contribution
AN - SCOPUS:33846590171
SN - 0780392213
SN - 9780780392212
T3 - IEEE Nuclear Science Symposium Conference Record
SP - 2576
EP - 2578
BT - 2005 IEEE Nuclear Science Symposium Conference Record -Nuclear Science Symposium and Medical Imaging Conference
T2 - Nuclear Science Symposium Conference Record, 2005 IEEE
Y2 - 23 October 2005 through 29 October 2005
ER -