Journal article
Free-Breathing and Ungated Dynamic MRI Using Navigator-Less Spiral SToRM
IEEE transactions on medical imaging, Vol.39(12), pp.3933-3943
12/2020
DOI: 10.1109/TMI.2020.3008329
PMCID: PMC7806246
PMID: 32746136
Abstract
We introduce a kernel low-rank algorithm to recover free-breathing and ungated dynamic MRI from spiral acquisitions without explicit k-space navigators. It is often challenging for low-rank methods to recover free-breathing and ungated images from undersampled measurements; extensive cardiac and respiratory motion often results in the Casorati matrix not being sufficiently low-rank. Therefore, we exploit the non-linear structure of the dynamic data, which gives the low-rank kernel matrix. Unlike prior work that rely on navigators to estimate the manifold structure, we propose a kernel low-rank matrix completion method to directly fill in the missing k-space data from variable density spiral acquisitions. We validate the proposed scheme using simulated data and in-vivo data. Our results show that the proposed scheme provides improved reconstructions compared to the classical methods such as low-rank and XD-GRASP. The comparison with breath-held cine data shows that the quantitative metrics agree, whereas the image quality is marginally lower.
Details
- Title: Subtitle
- Free-Breathing and Ungated Dynamic MRI Using Navigator-Less Spiral SToRM
- Creators
- Abdul Haseeb Ahmed - Department of Electrical and Computer Engineering, The University of Iowa, Iowa City, IA, USARuixi Zhou - Department of Biomedical Engineering, University of Virginia, Charlottesville, VA, USAYang Yang - Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, USAPrashant Nagpal - Department of Radiology, The University of Iowa, Iowa City, IA, USAMichael Salerno - Department of Biomedical Engineering, University of Virginia, Charlottesville, VA, USAMathews Jacob - Department of Electrical and Computer Engineering, The University of Iowa, Iowa City, IA, USA
- Resource Type
- Journal article
- Publication Details
- IEEE transactions on medical imaging, Vol.39(12), pp.3933-3943
- DOI
- 10.1109/TMI.2020.3008329
- PMID
- 32746136
- PMCID
- PMC7806246
- NLM abbreviation
- IEEE Trans Med Imaging
- ISSN
- 0278-0062
- eISSN
- 1558-254X
- Publisher
- Institute of Electrical and Electronics Engineers
- Grant note
- R01EB019961; R01HL131919-01A1; 1S10OD025025-01 / NIH (10.13039/100000002)
- Language
- English
- Date published
- 12/2020
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Radiology; Electrical and Computer Engineering; Iowa Neuroscience Institute; Radiation Oncology
- Record Identifier
- 9984070309902771
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