Abstract
Magnetic resonance (MR) tissue tagging allows noninvasive in vivo measurement of soft tissue deformation. Planes of magnetic saturation are created, orthogonal to the imaging plane, which form dark lines (stripes) on the image. These stripes deform with the tissue and may be tracked in order to reconstruct the time-varying deformation of the structure. We have developed a semiautomatic line tracking algorithm to track the stripes to sub-pixel resolution throughout the deformation, based on active contour models (snakes). Each tracked stripe point gives displacement information orthogonal to the original tagging plane, i.e. a one dimensional constraint on the motion. Data from several tagging and imaging planes in different orientations was combined using a deformable model of the LV wall. Two or three dimensional motion and deformation was then reconstructed by fitting the data constraints by linear least squares.
| Original language | English (US) |
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| Pages | 317-323 |
| Number of pages | 7 |
| State | Published - Dec 1 1994 |
| Externally published | Yes |
| Event | Proceedings of the IEEE Workshop on Biomedical Image Analysis - Seattle, WA, USA Duration: Jun 24 1994 → Jun 25 1994 |
Other
| Other | Proceedings of the IEEE Workshop on Biomedical Image Analysis |
|---|---|
| City | Seattle, WA, USA |
| Period | 6/24/94 → 6/25/94 |
ASJC Scopus subject areas
- Engineering(all)