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Three‐dimensional magnetic resonance myocardial motion tracking from a single image plane
Author(s) -
AbdElmoniem Khaled Z.,
Osman Nael F.,
Prince Jerry L.,
Stuber Matthias
Publication year - 2007
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.21267
Subject(s) - displacement (psychology) , image plane , plane (geometry) , computer vision , tracking (education) , magnetic resonance imaging , imaging phantom , computer science , motion (physics) , sagittal plane , artificial intelligence , physics , match moving , optics , image (mathematics) , mathematics , geometry , medicine , psychology , pedagogy , psychotherapist , radiology
Three‐dimensional imaging for the quantification of myocardial motion is a key step in the evaluation of cardiac disease. A tagged magnetic resonance imaging method that automatically tracks myocardial displacement in three dimensions is presented. Unlike other techniques, this method tracks both in‐plane and through‐plane motion from a single image plane without affecting the duration of image acquisition. A small z ‐encoding gradient is subsequently added to the refocusing lobe of the slice‐selection gradient pulse in a slice following CSPAMM acquisition. An opposite polarity z ‐encoding gradient is added to the orthogonal tag direction. The additional z ‐gradients encode the instantaneous through plane position of the slice. The vertical and horizontal tags are used to resolve in‐plane motion, while the added z‐gradients is used to resolve through‐plane motion. Postprocessing automatically decodes the acquired data and tracks the three‐dimensional displacement of every material point within the image plane for each cine frame. Experiments include both a phantom and in vivo human validation. These studies demonstrate that the simultaneous extraction of both in‐plane and through‐plane displacements and pathlines from tagged images is achievable. This capability should open up new avenues for the automatic quantification of cardiac motion and strain for scientific and clinical purposes. Magn Reson Med 58:92–102, 2007. © 2007 Wiley‐Liss, Inc.