Preprint
Free-breathing cardiac MRI using bandlimited manifold modelling
ArXiv.org
02/24/2018
Abstract
We introduce a novel bandlimited manifold framework and an algorithm to recover free-breathing and ungated cardiac MR images from highly undersampled measurements. The image frames in the free breathing and ungated dataset are assumed to be points on a bandlimited manifold. We introduce a novel kernel low-rank algorithm to estimate the manifold structure (Laplacian) from a navigator-based acquisition scheme. The structure of the manifold is then used to recover the images from highly undersampled measurements. A computationally efficient algorithm, which relies on the bandlimited approximation of the Laplacian matrix, is used to recover the images. The proposed scheme is demonstrated on several patients with different breathing patterns and cardiac rates, without requiring the need for manually tuning the reconstruction parameters in each case. The proposed scheme enabled the recovery of free-breathing and ungated data, providing reconstructions that are qualitatively similar to breath-held scans performed on the same patients. This shows the potential of the technique as a clinical protocol for free-breathing cardiac scans.
Details
- Title: Subtitle
- Free-breathing cardiac MRI using bandlimited manifold modelling
- Creators
- Sunrita PoddarYasir MohsinDeidra AnsahBijoy ThattaliyathRavi AshwathMathews Jacob
- Resource Type
- Preprint
- Publication Details
- ArXiv.org
- ISSN
- 2331-8422
- Language
- English
- Date posted
- 02/24/2018
- Academic Unit
- Electrical and Computer Engineering; Radiology; Iowa Neuroscience Institute; Roy J. Carver Department of Biomedical Engineering; Radiation Oncology; Stead Family Department of Pediatrics; Cardiology
- Record Identifier
- 9984071602802771
Metrics
44 Record Views