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k-t FOCUSS: a general compressed sensing framework for high resolution dynamic MRI

Authors
 Hong Jung  ;  Kyunghyun Sung  ;  Krishna S. Nayak  ;  Eung Yeop Kim  ;  Jong Chul Ye 
Citation
 MAGNETIC RESONANCE IN MEDICINE, Vol.61(1) : 103-116, 2009 
Journal Title
 MAGNETIC RESONANCE IN MEDICINE 
ISSN
 0740-3194 
Issue Date
2009
MeSH
Algorithms* ; Brain/anatomy & histology* ; Data Compression/methods* ; Heart/anatomy & histology* ; Humans ; Image Enhancement/methods* ; Image Interpretation, Computer-Assisted/methods* ; Magnetic Resonance Imaging/instrumentation ; Magnetic Resonance Imaging/methods* ; Phantoms, Imaging ; Reproducibility of Results ; Sensitivity and Specificity
Keywords
k-t BLAST/SENSE ; RIGR ; ME/MC ; SPEAR ; com-pressed sensing ; FOCUSS
Abstract
A model-based dynamic MRI called k-t BLAST/SENSE has drawn significant attention from the MR imaging community because of its improved spatio-temporal resolution. Recently, we showed that the k-t BLAST/SENSE corresponds to the special case of a new dynamic MRI algorithm called k-t FOCUSS that is optimal from a compressed sensing perspective. The main contribution of this article is an extension of k-t FOCUSS to a more general framework with prediction and residual encoding, where the prediction provides an initial estimate and the residual encoding takes care of the remaining residual signals. Two prediction methods, RIGR and motion estimation/compensation scheme, are proposed, which significantly sparsify the residual signals. Then, using a more sophisticated random sampling pattern and optimized temporal transform, the residual signal can be effectively estimated from a very small number of k-t samples. Experimental results show that excellent reconstruction can be achieved even from severely limited k-t samples without aliasing artifacts
Full Text
http://onlinelibrary.wiley.com/doi/10.1002/mrm.21757/abstract
DOI
10.1002/mrm.21757
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Radiology (영상의학교실) > 1. Journal Papers
Yonsei Authors
Kim, Eung Yeop(김응엽)
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/103931
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