TY - GEN
T1 - Compressed sensing MR image reconstruction based on a non-uniform FFD motion-compensated reference
AU - Zhao, Di
AU - Du, Huiqian
AU - Mei, Wenbo
PY - 2013
Y1 - 2013
N2 - In this paper, we propose a reference driven magnetic resonance (MR) image reconstruction method inspired by compressed sensing (CS) theory. The target MR image is formulated as a linear combination of a motion compensated reference image and a difference image. Both the global and the local deformations are estimated to enhance the sparsity of the difference image. The global motion is estimated by affine transformation. The local motion is described by hierarchical B-spline refinement, and non-uniform control points at each level are used to speed up the registration. In addition, we replace the l1 norm term with a weighted l1 norm to further improve reconstruction quality. The proposed method is applied to a numerical phantom data set and an in-vivo data set. The experimental results prove that our method outperforms the other CS based MR image reconstruction methods under the same sampling rate.
AB - In this paper, we propose a reference driven magnetic resonance (MR) image reconstruction method inspired by compressed sensing (CS) theory. The target MR image is formulated as a linear combination of a motion compensated reference image and a difference image. Both the global and the local deformations are estimated to enhance the sparsity of the difference image. The global motion is estimated by affine transformation. The local motion is described by hierarchical B-spline refinement, and non-uniform control points at each level are used to speed up the registration. In addition, we replace the l1 norm term with a weighted l1 norm to further improve reconstruction quality. The proposed method is applied to a numerical phantom data set and an in-vivo data set. The experimental results prove that our method outperforms the other CS based MR image reconstruction methods under the same sampling rate.
KW - Combined motion compensation
KW - Compressed sensing (CS)
KW - Non-uniform multi-level free-form deformations (FFD)
KW - Reference image
KW - Weighted l norm
UR - http://www.scopus.com/inward/record.url?scp=84892560750&partnerID=8YFLogxK
U2 - 10.1109/ICSPCC.2013.6664006
DO - 10.1109/ICSPCC.2013.6664006
M3 - Conference contribution
AN - SCOPUS:84892560750
SN - 9781479910274
T3 - 2013 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2013
BT - 2013 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2013
T2 - 2013 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2013
Y2 - 5 August 2013 through 8 August 2013
ER -