Journal article
Accelerated dynamic MRI using patch regularization for implicit motion compensation
Magnetic resonance in medicine, Vol.77(3), pp.1238-1248
03/2017
DOI: 10.1002/mrm.26215
PMCID: PMC5300957
PMID: 27091812
Abstract
Purpose
To introduce a fast algorithm for motion‐compensated accelerated dynamic MRI.
Methods
An efficient patch smoothness regularization scheme, which implicitly compensates for inter‐frame motion, is introduced to recover dynamic MRI data from highly undersampled measurements. The regularization prior is a sum of distances between each rectangular patch in the dataset with other patches in the dataset using a saturating distance metric. Unlike current motion estimation and motion compensation (ME‐MC) methods, the proposed scheme does not require reference frames or complex motion models. The proposed algorithm, which alternates between inter‐patch shrinkage step and conjugate gradient algorithm, is considerably more computationally efficient than ME‐MC methods. The reconstructions obtained using the proposed algorithm is compared against state‐of‐the‐art methods.
Results
The proposed method is observed to yield reconstructions with minimal spatiotemporal blurring and motion artifacts. In comparison to the existing state‐of‐the‐art ME‐MC methods, PRICE provides comparable or even better image quality with faster reconstruction times (approximately nine times faster).
Conclusion
The presented scheme enables computationally efficient and effective motion‐compensated reconstruction in a variety of applications with large inter‐frame motion and contrast changes. This algorithm could be seen as an alternative over the current state‐of‐the‐art ME‐MC schemes that are computationally expensive. Magn Reson Med 77:1238–1248, 2017. © 2016 International Society for Magnetic Resonance in Medicine
Details
- Title: Subtitle
- Accelerated dynamic MRI using patch regularization for implicit motion compensation
- Creators
- Yasir Q Mohsin - the University of IowaSajan Goud Lingala - University of Southern CaliforniaEdward DiBella - the University of UtahMathews Jacob - the University of Iowa
- Resource Type
- Journal article
- Publication Details
- Magnetic resonance in medicine, Vol.77(3), pp.1238-1248
- DOI
- 10.1002/mrm.26215
- PMID
- 27091812
- PMCID
- PMC5300957
- NLM abbreviation
- Magn Reson Med
- ISSN
- 0740-3194
- eISSN
- 1522-2594
- Number of pages
- 11
- Grant note
- ONR (N00014‐ 13‐1‐0202) ACS (RSG‐11‐267‐01‐CCE) NSF (CCF‐1116067) NIH (1R01EB019961‐01A1)
- Language
- English
- Date published
- 03/2017
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Radiology; Electrical and Computer Engineering; Iowa Neuroscience Institute; Radiation Oncology
- Record Identifier
- 9984070763402771
Metrics
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