A synthesis-based approach to compressive multi-contrast magnetic resonance imaging

Gungor, A, Kopanoglu, Emre ORCID: https://orcid.org/0000-0001-8982-4441, Cukur, T and Guven, HE 2017. A synthesis-based approach to compressive multi-contrast magnetic resonance imaging. Presented at: IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017), Melbourne, Australia, 18-21 Apr 2017. IEEE 14th International Symposium on Biomedical Imaging (ISBI 2017). Proceedings / IEEE International Symposium on Biomedical Imaging: from nano to macro. IEEE International Symposium on Biomedical Imaging. IEEE, 10.1109/ISBI.2017.7950615

Full text not available from this repository.

Abstract

In this study, we deal with the problem of image reconstruction from compressive measurements of multi-contrast magnetic resonance imaging (MRI). We propose a synthesis based approach for image reconstruction to better exploit mutual information across contrasts, while retaining individual features of each contrast image. For fast recovery, we propose an augmented Lagrangian based algorithm, using Alternating Direction Method of Multipliers (ADMM). We then compare the proposed algorithm to the state-of-the-art Compressive Sensing-MRI algorithms, and show that the proposed method results in better quality images in shorter computation time.

Item Type:	Conference or Workshop Item (Paper)
Date Type:	Publication
Status:	Published
Schools:	Cardiff University Brain Research Imaging Centre (CUBRIC) Psychology
Publisher:	IEEE
ISBN:	978-1-5090-1172-8
ISSN:	1945-8452
Last Modified:	04 Nov 2022 12:11
URI:	https://orca.cardiff.ac.uk/id/eprint/122185

Actions (repository staff only)

Edit Item