Discrete Shearlets as a Sparsifying Transform in Low-Rank Plus Sparse Decomposition for Undersampled (k, t)-Space MR Data.
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Publication Date
2022-01-29Journal Title
J Imaging
ISSN
2313-433X
Publisher
MDPI AG
Volume
8
Issue
2
Language
eng
Type
Article
This Version
VoR
Metadata
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Protonotarios, N. E., Tzampazidou, E., Kastis, G. A., & Dikaios, N. (2022). Discrete Shearlets as a Sparsifying Transform in Low-Rank Plus Sparse Decomposition for Undersampled (k, t)-Space MR Data.. J Imaging, 8 (2) https://doi.org/10.3390/jimaging8020029
Abstract
The discrete shearlet transformation accurately represents the discontinuities and edges occurring in magnetic resonance imaging, providing an excellent option of a sparsifying transform. In the present paper, we examine the use of discrete shearlets over other sparsifying transforms in a low-rank plus sparse decomposition problem, denoted by L+S. The proposed algorithm is evaluated on simulated dynamic contrast enhanced (DCE) and small bowel data. For the small bowel, eight subjects were scanned; the sequence was run first on breath-holding and subsequently on free-breathing, without changing the anatomical position of the subject. The reconstruction performance of the proposed algorithm was evaluated against k-t FOCUSS. L+S decomposition, using discrete shearlets as sparsifying transforms, successfully separated the low-rank (background and periodic motion) from the sparse component (enhancement or bowel motility) for both DCE and small bowel data. Motion estimated from low-rank of DCE data is closer to ground truth deformations than motion estimated from L and S. Motility metrics derived from the S component of free-breathing data were not significantly different from the ones from breath-holding data up to four-fold undersampling, indicating that bowel (rapid/random) motility is isolated in S. Our work strongly supports the use of discrete shearlets as a sparsifying transform in a L+S decomposition for undersampled MR data.
Keywords
MRI, Image reconstruction, Small Bowel Imaging, Dynamic Contrast Enhanced (Dce), Robust Principal Component Analysis (Rpca), Discrete Shearlet Transform, Low-rank Plus Sparse Decomposition
Identifiers
35200731, PMC8878450
External DOI: https://doi.org/10.3390/jimaging8020029
This record's URL: https://www.repository.cam.ac.uk/handle/1810/335429
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