Dynamic MRI Using SmooThness Regularization on Manifolds (SToRM)

Sunrita Poddar; Mathews Jacob

doi:10.1109/TMI.2015.2509245

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Dynamic MRI Using SmooThness Regularization on Manifolds (SToRM)

Journal article

Open access

Peer reviewed

Dynamic MRI Using SmooThness Regularization on Manifolds (SToRM)

Sunrita Poddar and Mathews Jacob

IEEE transactions on medical imaging, Vol.35(4), pp.1106-1115

04/2016

DOI: 10.1109/TMI.2015.2509245

PMCID: PMC5334465

PMID: 26685228

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http://doi.org/10.1109/TMI.2015.2509245View

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Abstract

We introduce a novel algorithm to recover real time dynamic MR images from highly under-sampled k- t space measurements. The proposed scheme models the images in the dynamic dataset as points on a smooth, low dimensional manifold in high dimensional space. We propose to exploit the non-linear and non-local redundancies in the dataset by posing its recovery as a manifold smoothness regularized optimization problem. A navigator acquisition scheme is used to determine the structure of the manifold, or equivalently the associated graph Laplacian matrix. The estimated Laplacian matrix is used to recover the dataset from undersampled measurements. The utility of the proposed scheme is demonstrated by comparisons with state of the art methods in multi-slice real-time cardiac and speech imaging applications.

Manifolds

manifold regularization

Laplace equations

Navigation

Magnetic resonance imaging

Heuristic algorithms

free-breathing cardiac MRI

Real-time systems

Dynamic image reconstruction

Details

Title: Subtitle: Dynamic MRI Using SmooThness Regularization on Manifolds (SToRM)
Creators: Sunrita Poddar - Dept. of Electr. & Comput. Eng., Univ. of Iowa, Iowa City, IA, USA
Mathews Jacob - Dept. of Electr. & Comput. Eng., Univ. of Iowa, Iowa City, IA, USA
Resource Type: Journal article
Publication Details: IEEE transactions on medical imaging, Vol.35(4), pp.1106-1115
DOI: 10.1109/TMI.2015.2509245
PMID: 26685228
PMCID: PMC5334465
NLM abbreviation: IEEE Trans Med Imaging
ISSN: 0278-0062
eISSN: 1558-254X
Publisher: Institute of Electrical and Electronics Engineers
Grant note: ONR grant N00014-13-1-0202 / Office of Naval Research (10.13039/100000006)\nACS RSG-11-267-01-CCE / American Cancer Society (10.13039/100000048)\nNSF CCF-1116067 / Division of Computing and Communication Foundations (10.13039/100000143)
Language: English
Date published: 04/2016
Academic Unit: Roy J. Carver Department of Biomedical Engineering; Radiology; Electrical and Computer Engineering; Iowa Neuroscience Institute; Radiation Oncology
Record Identifier: 9984070730502771

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