NDLI: Highly accelerated dynamic contrast-enhanced MRI with temporal constrained reconstruction

Content Provider	IEEE Xplore Digital Library
Author	Huajun She Rong-Rong Chen DiBella, E.V.R. Schabel, M. Ying, L.
Copyright Year	2014
Description	Author affiliation: Dept. of Radiol., Univ. of Utah, Salt Lake City, UT, USA (DiBella, E.V.R.) \|\| Dept. of Electr. & Comput. Eng., Univ. of Utah, Salt Lake City, UT, USA (Huajun She; Rong-Rong Chen) \|\| Dept. of Biomed. Eng., State Univ. of New York at Buffalo, Buffalo, NY, USA (Ying, L.) \|\| Oregon Health Sci. Univ., Portland, OR, USA (Schabel, M.)
Abstract	For DCE MRI applications, the images of adjacent time frames are often similar, especially when motion is minimal, in which case temporal TV is a reasonable regularization term. Temporal constraint reconstruction (TCR) has been developed to reconstruct dynamic images from undersampled k-t space data based on such prior information. However, the convergence speed of the algorithm highly depends on the initialization method. In this study, we study initialization using a composite high resolution image based on a jigsaw sampling pattern during pre-contrast frames. The proposed initialization method converges much faster than a conventional initialization method using low resolution images, especially at high reduction factors. In vivo breast imaging experiments were carried out to evaluate the performance of the proposed method. Experiments show the new initialization method allows TCR to achieve a high reduction factor up to 40 without compromising much of the spatial or temporal resolution. The reconstruction errors are much lower than those using the low resolution initialization when the same number of measurements is used.
Sponsorship	IEEE Eng. Med. Biol. Soc.
Starting Page	2408
Ending Page	2411
File Size	921076
Page Count	4
File Format	PDF
ISBN	9781424479290
ISSN	1557170X
DOI	10.1109/EMBC.2014.6944107
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-08-26
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image reconstruction Magnetic resonance imaging TV Breast Spatial resolution
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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