TY - GEN
T1 - Joint estimation of coil sensitivities and image in parallel magnetic resonance imaging
AU - Ying, Leslie
AU - Sheng, Jinhua
PY - 2007
Y1 - 2007
N2 - Parallel magnetic resonance imaging using multi-channel receiver coils has emerged as an effective tool to reduce imaging time in various applications. In general, exact knowledge of the coil sensitivities is needed to reconstruct the desired image. However, the issue of accurate estimation of coil sensitivities has not been fully addressed; thereby the errors limit the image quality achievable with the technology. In this paper, we model the image reconstruction problem as a blind multi-channel image restoration problem such that both the coil sensitivities and the desired images are estimated jointly. Specifically, a parametric model is assumed for the coil sensitivities whose parameters are solved by an iterative optimization algorithm along with image reconstruction. The proposed method has been tested on various data sets. The results from some in vivo data sets are shown to demonstrate the effectiveness of the proposed method especially when a rather large net acceleration factor is used.
AB - Parallel magnetic resonance imaging using multi-channel receiver coils has emerged as an effective tool to reduce imaging time in various applications. In general, exact knowledge of the coil sensitivities is needed to reconstruct the desired image. However, the issue of accurate estimation of coil sensitivities has not been fully addressed; thereby the errors limit the image quality achievable with the technology. In this paper, we model the image reconstruction problem as a blind multi-channel image restoration problem such that both the coil sensitivities and the desired images are estimated jointly. Specifically, a parametric model is assumed for the coil sensitivities whose parameters are solved by an iterative optimization algorithm along with image reconstruction. The proposed method has been tested on various data sets. The results from some in vivo data sets are shown to demonstrate the effectiveness of the proposed method especially when a rather large net acceleration factor is used.
UR - https://www.scopus.com/pages/publications/50249086891
U2 - 10.1109/ACSSC.2007.4487561
DO - 10.1109/ACSSC.2007.4487561
M3 - Conference contribution
AN - SCOPUS:50249086891
SN - 9781424421107
T3 - Conference Record - Asilomar Conference on Signals, Systems and Computers
SP - 1874
EP - 1878
BT - Conference Record of the 41st Asilomar Conference on Signals, Systems and Computers, ACSSC
T2 - 41st Asilomar Conference on Signals, Systems and Computers, ACSSC
Y2 - 4 November 2007 through 7 November 2007
ER -