Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
5003187 | IFAC Proceedings Volumes | 2006 | 5 Pages |
Abstract
This article shows a new method of the cruciate ligament localization in T1-and T2-weighted MR knee images. Cruciate ligament localization allows to reduce number of sliccs used in 3D rendering. The analysis is performed on T1-and T2-wcightcd MR knee images. Each slice is subjected to two-dimensional entropy and energy measurements of fuzziness. Then, a fuzzy c-means clustering technique modified by introducing additionally to the objective function a median estimator is implemented. The class reflecting soft tissue is subjected to similarity measures which compare a local image intensity. A detailed local analysis, based on image profile models, yields a 3D region of interest (ROI) which includes the posterior and anterior cruciate ligament. Finally, fuzzy techniques applied to the ROI histogram analysis enhances the contrast and views the 3D region.
Related Topics
Physical Sciences and Engineering
Engineering
Computational Mechanics
Authors
Piotr Zarychta,