Locally structured low-rank MR image reconstruction using submatrix constraints

Conference item

Image reconstruction methods based on structured low-rank matrix completion have drawn growing interest in magnetic resonance imaging. In this work, we propose a locally structured low-rank image reconstruction method which imposes low-rank constraints on submatrices of the Hankel structured k-space data matrix. Simulation experiments based on numerical phantoms and experimental data demonstrated that the proposed method achieves robust and significant improvements over the conventional, global structured low-rank methods across a variety of structured matrix constructions, sampling patterns and noise levels, at the cost of slower convergence speed only.

Authors: Chen, X; Wu, W; Chiew, M

• Publication status: Published
• Peer review status: Peer reviewed
• Publisher: IEEE
• Publication date: 2022-04-26
• Acceptance date: 2022-01-07
• Event title: IEEE 19th International Symposium on Biomedical Imaging (ISBI 2022)
• Event location: Kolkata, India
• Event website: https://biomedicalimaging.org/2022/
• Event start date: 2022-03-28
• Event end date: 2022-03-31
• DOI: 10.1109/ISBI52829.2022.9761692
• EISSN: 1945-8452
• ISSN: 1945-7928
• EISBN: 978-1-6654-2923-8
• ISBN: 978-1-6654-2924-5
• Language: English
• Keywords: FFR; structured low-rank; locally low-rank