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Unsupervised reconstruction of a three‐dimensional left ventricular strain from parallel tagged cardiac images
Author(s) -
Denney Thomas S.,
Gerber Bernhard L.,
Yan Litao
Publication year - 2003
Publication title -
magnetic resonance in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.696
H-Index - 225
eISSN - 1522-2594
pISSN - 0740-3194
DOI - 10.1002/mrm.10434
Subject(s) - strain (injury) , medicine , coronary artery disease , artery , artificial intelligence , cardiology , computer science
A new algorithm, called the Unsupervised Tag ExTraction and Heart strain(E) Reconstruction (UNTETHER) algorithm, is presented for quantifying three‐dimensional (3D) myocardial strain in tagged cardiac MR images. Five human volunteers and five postinfarct patients were imaged. 3D strains measured by UNTETHER and a user‐supervised technique were compared. Each study was analyzed in 49 ± 8 min with UNTETHER, compared to ∼4 hr with the user‐supervised technique. For pooled human data, the correlation coefficient between the two methods for circumferential shortening (E cc ) was r = 0.91 at the mid‐wall ( P < 0.0005). UNTETHER is capable of measuring wall motion abnormalities resulting from coronary artery disease, and has the potential to overcome the main limitations (time and user‐supervision requirements) to routine clinical use of tagged cardiac MRI. Magn Reson Med 49:743–754, 2003. © 2003 Wiley‐Liss, Inc.

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