Motion Estimated-Compensated Reconstruction with Preserved-Features in Free-Breathing Cardiac MRI

To develop an efficient motion-compensated reconstruction technique for free-breathing cardiac magnetic resonance imaging (MRI) that allows high-quality images to be reconstructed from multiple undersampled single-shot acquisitions. The proposed method is a joint image reconstruction and motion corr...

Full description

Saved in:
Bibliographic Details
Published in:arXiv.org 2016-11
Main Authors: Bustin, Aurelien, Menini, Anne, Janich, Martin A, Burschka, Darius, Felblinger, Jacques, Brau, Anja C S, Odille, Freddy
Format: Article
Language:English
Subjects:
Acceleration
Breathing
Image quality
Image reconstruction
Magnetic resonance imaging
Medical imaging
Methods
NMR
Noise reduction
Nuclear magnetic resonance
Quality
Regularization
Spatial resolution
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:To develop an efficient motion-compensated reconstruction technique for free-breathing cardiac magnetic resonance imaging (MRI) that allows high-quality images to be reconstructed from multiple undersampled single-shot acquisitions. The proposed method is a joint image reconstruction and motion correction method consisting of several steps, including a non-rigid motion extraction and a motion-compensated reconstruction. The reconstruction includes a denoising with the Beltrami regularization, which offers an ideal compromise between feature preservation and staircasing reduction. Results were assessed in simulation, phantom and volunteer experiments. The proposed joint image reconstruction and motion correction method exhibits visible quality improvement over previous methods while reconstructing sharper edges. Moreover, when the acceleration factor increases, standard methods show blurry results while the proposed method preserves image quality. The method was applied to free-breathing single-shot cardiac MRI, successfully achieving high image quality and higher spatial resolution than conventional segmented methods, with the potential to offer high-quality delayed enhancement scans in challenging patients.
ISSN:2331-8422