Free-Breathing & Ungated Cardiac MRI Using Iterative SToRM (i-SToRM)

Yasir Q Mohsin; Sunrita Poddar; Mathews Jacob

doi:10.1109/TMI.2019.2908140

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Free-Breathing & Ungated Cardiac MRI Using Iterative SToRM (i-SToRM)

Journal article

Open access

Peer reviewed

Free-Breathing & Ungated Cardiac MRI Using Iterative SToRM (i-SToRM)

Yasir Q Mohsin, Sunrita Poddar and Mathews Jacob

IEEE transactions on medical imaging, Vol.38(10), pp.2303-2313

10/2019

DOI: 10.1109/TMI.2019.2908140

PMCID: PMC7893810

PMID: 30932835

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https://www.ncbi.nlm.nih.gov/pmc/articles/7893810View

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Abstract

We introduce a local manifold regularization approach to recover dynamic MRI data from highly undersampled measurements. The proposed scheme relies on the manifold structure of local image patches at the same spatial location in a free-breathing cardiac MRI dataset; this approach is a generalization of the SmooThness Regularization on Manifolds (SToRM) scheme that exploits the global manifold structure of images in the dataset. Since the manifold structure of the patches varies depending on the spatial location and is often considerably simpler than the global one, this approach significantly reduces the data demand, facilitating the recovery from shorter scans. Since the navigator-based estimation of manifold structure pursued in SToRM is not feasible in this setting, a reformulation of SToRM is introduced. Specifically, the regularization term of the cost function involves the sum of robust distances between images sub-patches in the dataset. The optimization algorithm alternates between updating the images and estimating the manifold structure of the image patches. The utility of the proposed scheme is demonstrated in the context of in-vivo prospective free-breathing cardiac CINE MRI imaging with multichannel acquisitions and simulated phantoms. The new framework facilitates a reduction in scan time, as compared to the SToRM strategy.

Manifolds

Laplace equations

Storms

Navigation

Manifold

Magnetic resonance imaging

cardiac MRI

Estimation

Cost function

fusion penalties

image reconstruction

Details

Title: Subtitle: Free-Breathing & Ungated Cardiac MRI Using Iterative SToRM (i-SToRM)
Creators: Yasir Q Mohsin - Department of Electrical and Computer Engineering, The University of Iowa, Iowa City, IA, USA
Sunrita Poddar - Department of Electrical and Computer Engineering, The University of Iowa, Iowa City, IA, USA
Mathews 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.38(10), pp.2303-2313
DOI: 10.1109/TMI.2019.2908140
PMID: 30932835
PMCID: PMC7893810
NLM abbreviation: IEEE Trans Med Imaging
ISSN: 0278-0062
eISSN: 1558-254X
Publisher: Institute of Electrical and Electronics Engineers
Grant note: 1R01EB019961-01A1; ONR-N000141310202 / National Institute of Biomedical Imaging and Bioengineering (10.13039/100000070)
Language: English
Date published: 10/2019
Academic Unit: Roy J. Carver Department of Biomedical Engineering; Radiology; Electrical and Computer Engineering; Iowa Neuroscience Institute; Radiation Oncology
Record Identifier: 9984070760302771

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