NDLI: Tag removal in cardiac tagged MRI images using coupled dictionary learning

Content Provider	IEEE Xplore Digital Library
Author	Makram, A.W. Rushdi, M.A. Khalifa, A.M. El-Wakad, M.T.
Copyright Year	2015
Description	Author affiliation: Biomed. Eng. Dept., Helwan Univ., Cairo, Egypt (Makram, A.W.; Khalifa, A.M.; El-Wakad, M.T.) \|\| Dept. of Biomed. & Syst. Eng., Cairo Univ., Cairo, Egypt (Rushdi, M.A.)
Abstract	Tagged Magnetic Resonance Imaging (tMRI) is considered to be the gold standard for quantitative assessment of the cardiac local functions. However, the tagging patterns and low myocardium-to-blood-pool contrast of tagged images bring great challenges to cardiac image processing and analysis tasks such as myocardium segmentation and tracking. Hence, there has been growing interest in techniques for removing tagging lines. In this work, a method for removing tagging patterns in tagged MR images using a coupled dictionary learning (CDL) model is proposed. In this model, identical sparse representations are assumed for image patches in the tagged MRI and corresponding cine MRI image spaces. First, we learn a dictionary for the tagged MRI image space. Then, we compute a dictionary for the cine MRI image space so that corresponding tagged and cine patches have the same sparse codes in terms of their respective dictionaries. Finally, in order to produce the de-tagged (cine version) of a test tagged image, the sparse codes of the tagged patches and the trained cine dictionary are used together to construct the de-tagged patches. We have tested this tag removal method on a dataset of tagged cardiac MR images. Our experimental results compared favorably with a recently proposed tag removal method that removes tags in the frequency domain using an optimal band-stop filter of harmonic peaks.
Starting Page	7921
Ending Page	7924
File Size	833939
Page Count	4
File Format	PDF
ISSN	1557170X
e-ISBN	9781424492718
DOI	10.1109/EMBC.2015.7320229
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-08-25
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Magnetic resonance imaging Dictionaries Myocardium Frequency-domain analysis Harmonic analysis Power harmonic filters Heart coupled dictionary learning Tag removal tagged MRI sparse representation
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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