Automated Motion Estimation for 2-D Cine DENSE MRI
نویسندگان
چکیده
منابع مشابه
Automated cardiac motion estimation from 3D Cine DENSE MRI
Background 3D cine displacement encoding with stimulated echoes (DENSE) directly encodes tissue displacement into MR phase data, providing a comprehensive 3D view of cardiac motion and strain. Unfortunately, 3D cine DENSE motion analysis presently requires manually delineated anatomy. An automated analysis would reduce interobserver variability, improve measurement throughput, and simplify data...
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Introduction Cine DENSE (Displacement Encoding with Stimulated Echoes) MRI acquires a temporal sequence of images where the phase of each image is encoded for tissue displacement. More specifically, the phase of the DENSE stimulated-echo signal is given by θ = keΔx, where Δx is the tissue displacement and ke is the userspecified displacement-encoding frequency (a parameter analagous to the “ven...
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Background Cine displacement encoding with stimulated echoes (DENSE) provides quantitative imaging of tissue motion with high spatial resolution. Recent results have demonstrated that 3D cine DENSE provides resolution sufficient to quantify the mechanics of the right ventricle (RV) [1]. However, RV analysis currently requires manual anatomical delineation on all cine frames. This research exten...
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B. S. Spottiswoode, X. Zhong, C. H. Lorenz, B. M. Mayosi, E. M. Meintjes, F. H. Epstein MRC/UCT Medical Imaging Research Unit, University of Cape Town, Cape Town, Western Cape, South Africa, Biomedical Engineering, University of Virginia, Charlottesville, Virginia, United States, Siemens Corporate Research, Siemens, Baltimore, Maryland, United States, Cardiac Clinic and Department of Medicine, ...
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Motion estimation for highly dynamic phenomena such as smoke is an open challenge for Computer Vision. Traditional dense motion estimation algorithms have difficulties with non-rigid and large motions, both of which are frequently observed in smoke motion. We propose an algorithm for dense motion estimation of smoke. Our algorithm is robust, fast, and has better performance over different types...
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ژورنال
عنوان ژورنال: IEEE Transactions on Medical Imaging
سال: 2012
ISSN: 0278-0062,1558-254X
DOI: 10.1109/tmi.2012.2195194