Combined Similarity to Reference Image with Joint Sparsifying Transform for Longitudinal Compressive Sensing MRI
Joint Authors
Kang, Ruirui
Qu, Gangrong
Cao, Bin
Yan, Long
Source
Mathematical Problems in Engineering
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-09-25
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
It is challenging to save acquisition time and reconstruct a medical magnetic resonance (MR) image with important details and features from its compressive measurements.
In this paper, a novel method is proposed for longitudinal compressive sensing (LCS) MR imaging (MRI), where the similarity between reference and acquired image is combined with joint sparsifying transform.
Furthermore, the joint sparsifying transform with the wavelet and the Contourlet can efficiently represent both isotropic and anisotropic features and the objective function is solved by extended smooth-based monotone version of the fast iterative shrinkage thresholding algorithm (SFISTA).
The experiment results demonstrate that the existing regularization model obtains better performance with less acquisition time and recovers both edges and fine details of MR images, much better than the existing regularization model based on the similarity and the wavelet transform for LCS-MRI.
American Psychological Association (APA)
Kang, Ruirui& Qu, Gangrong& Cao, Bin& Yan, Long. 2016. Combined Similarity to Reference Image with Joint Sparsifying Transform for Longitudinal Compressive Sensing MRI. Mathematical Problems in Engineering،Vol. 2016, no. 2016, pp.1-12.
https://search.emarefa.net/detail/BIM-1112150
Modern Language Association (MLA)
Kang, Ruirui…[et al.]. Combined Similarity to Reference Image with Joint Sparsifying Transform for Longitudinal Compressive Sensing MRI. Mathematical Problems in Engineering No. 2016 (2016), pp.1-12.
https://search.emarefa.net/detail/BIM-1112150
American Medical Association (AMA)
Kang, Ruirui& Qu, Gangrong& Cao, Bin& Yan, Long. Combined Similarity to Reference Image with Joint Sparsifying Transform for Longitudinal Compressive Sensing MRI. Mathematical Problems in Engineering. 2016. Vol. 2016, no. 2016, pp.1-12.
https://search.emarefa.net/detail/BIM-1112150
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1112150