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Visualization of high-resolution myocardial strain and diffusion tensor using super-quadric glyphs
| Content Provider | Semantic Scholar |
|---|---|
| Author | Ennis, Daniel B. Kindlmann, Gordon L. Helm, Patrick A. Rodríguez, Ignacio McVeigh, Elliot R. |
| Copyright Year | 2002 |
| Abstract | D. B. Ennis, G. Kindlmann, P. A. Helm, I. Rodriguez, E. R. McVeigh Biomedical Engineering, Johns Hopkins University, Baltimore, MD, United States, National, Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, United States, Computer Science, University of Utah, Salt Lake City, UT, United States Introduction: Tensor data are frequently a result of magnetic resonance imaging (MRI). Most commonly they arise in diffusion tensor imaging (DT) of the brain and heart as well as in the strain fields of deforming myocardium. Creating informative and intuitive visualizations of anatomical structure is challenging due to the multi-variate nature of tensor data. Herein we present a novel technique for visualizing canine myocardial DT data and high resolution myocardial strain data. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://people.cs.uchicago.edu/~glk/pubs/pdf/Ennis-MyocardialStrainAndDiffusionTensorGlyphs-ISMRM-2004.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
