Conference proceeding
Low rank recovery with manifold smoothness prior: Theory and application to accelerated dynamic MRI
2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI), Vol.2015-, pp.319-322
04/2015
DOI: 10.1109/ISBI.2015.7163877
Abstract
We introduce a regularized optimization algorithm to jointly recover signals that live on a low dimensional smooth manifold. The regularization penalty is the nuclear norm of the gradients of the signals on the manifold. We use this algorithm to reconstruct free breathing dynamic cardiac CINE MRI data. A novel acquisition scheme was used to facilitate the estimation of the manifold structure and recover high quality images. The results show that the method is an efficient alternative to traditional breath-held CINE exams.
Details
- Title: Subtitle
- Low rank recovery with manifold smoothness prior: Theory and application to accelerated dynamic MRI
- Creators
- Sunrita Poddar - Dept. of Electr. & Comput. Eng., Univ. of Iowa, Iowa City, IA, USAMathews Jacob - Dept. of Electr. & Comput. Eng., Univ. of Iowa, Iowa City, IA, USA
- Resource Type
- Conference proceeding
- Publication Details
- 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI), Vol.2015-, pp.319-322
- Publisher
- IEEE
- DOI
- 10.1109/ISBI.2015.7163877
- ISSN
- 1945-7928
- eISSN
- 1945-8452
- Language
- English
- Date published
- 04/2015
- Academic Unit
- Radiation Oncology; Iowa Neuroscience Institute; Radiology; Electrical and Computer Engineering; Roy J. Carver Department of Biomedical Engineering
- Record Identifier
- 9984070571002771
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