Abstract
This paper presents a new approach for accurate extraction of tissue deformation imaged with tagged MR. Our method, based on banks of Gabor filters, adjusts (1) the aspect and (2) orientation of the filter's envelope and adjusts (3) the radial frequency and (4) angle of the filter's sinusoidal grating to extract information about the deformation of tissue. The method accurately extracts tag line spacing, orientation, displacement and effective contrast. Existing, non-adaptive methods often fail to recover useful displacement information in the proximity of tissue boundaries while our method works in the proximity of the boundaries. We also present an interpolation method to recover all tag information at a finer resolution than the filter bank parameters. Results are shown on simulated images of translating and contracting tissue.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 1-9 |
| Number of pages | 9 |
| Journal | Proceedings of SPIE - The International Society for Optical Engineering |
| Volume | 5369 |
| DOIs | |
| State | Published - 2004 |
| Event | Medical Imaging 2004: Physiology, Function, and Structure from Medical Images - San Diego, CA, United States Duration: Feb 15 2004 → Feb 17 2004 |
Keywords
- Filter adaptation
- Filter interpolation
- Gabor filter bank
- Tagged MRI
- Tissue deformation extraction
ASJC Scopus subject areas
- Electronic, Optical and Magnetic Materials
- Condensed Matter Physics
- Computer Science Applications
- Applied Mathematics
- Electrical and Electronic Engineering