TY - GEN
T1 - Adaptive sampling and wavelet tree based compressive sensing for MRI reconstruction
AU - Zhang, Qieshi
AU - Zhang, Jun
AU - Kamata, Sei Ichiro
N1 - Publisher Copyright:
© 2016 IEEE.
Copyright:
Copyright 2017 Elsevier B.V., All rights reserved.
PY - 2016/8/3
Y1 - 2016/8/3
N2 - Magnetic Resonance Imaging (MRI) has been widely used in medical diagnose because of its non-invasive manner and excellent depiction of soft-tissue changes. Recently, the compressive sensing (CS) theory has been applied to reconstruct the MR image from highly down-sampled k-space data, which can reduce the scanning duration. To obtain useful information as much as possible with the same sampling rate, a weighted sampling strategy is studied. Moreover, based on the advantage of CS, a Wavelet tree based reconstruction approach is proposed. The experimental results demonstrate that the proposed method is preferable to other methods.
AB - Magnetic Resonance Imaging (MRI) has been widely used in medical diagnose because of its non-invasive manner and excellent depiction of soft-tissue changes. Recently, the compressive sensing (CS) theory has been applied to reconstruct the MR image from highly down-sampled k-space data, which can reduce the scanning duration. To obtain useful information as much as possible with the same sampling rate, a weighted sampling strategy is studied. Moreover, based on the advantage of CS, a Wavelet tree based reconstruction approach is proposed. The experimental results demonstrate that the proposed method is preferable to other methods.
KW - Compressive sensing (CS)
KW - K-space
KW - Magnetic Resonance Imaging (MRI)
KW - Wavelet tree
UR - http://www.scopus.com/inward/record.url?scp=85006820979&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85006820979&partnerID=8YFLogxK
U2 - 10.1109/ICIP.2016.7532814
DO - 10.1109/ICIP.2016.7532814
M3 - Conference contribution
AN - SCOPUS:85006820979
T3 - Proceedings - International Conference on Image Processing, ICIP
SP - 2524
EP - 2528
BT - 2016 IEEE International Conference on Image Processing, ICIP 2016 - Proceedings
PB - IEEE Computer Society
T2 - 23rd IEEE International Conference on Image Processing, ICIP 2016
Y2 - 25 September 2016 through 28 September 2016
ER -