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Abstract #3569

Detecting Real-Time Regional Myocardium Strain Changes Using Fast Strain-Encoded (FSENC) MRI

Ahmed Amr Harouni1, Tamer A. Basha1, Monda L. Shehata2, Nael Fakhry Osman1,2

1Electrical and computer Engineering, Johns Hopkins University, Baltimore, MD, United States; 2Department of Radiology, Johns Hopkins University, Baltimore, MD, United States


Many techniques have been proposed for real-time interactive cardiac MR imaging. However, most of these techniques are limited to only the anatomical information. In this work, we propose to use fast strain-Encoded functional imaging technique to acquire real-time images then use a fully automated segmentation algorithm to provide online anatomical and functional information of regional myocardial regions. This can be useful in real-time monitoring of cardiac strain changes during either stress test, valsalva exercise or interventional operations.

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