Paper: | TH-PM-PS2.4 |
Session: | Diffusion Tensor Imaging |
Time: | Thursday, April 6, 15:20 - 16:40 |
Presentation: |
Poster
|
Title: |
Segmentation of Anatomical Structure from DT-MRI |
Authors: |
Alberto Bartesaghi; University of Minnesota | | |
| Mariappan Nadar; Siemens Corporate Research, Inc. | | |
Abstract: |
A general framework for the automatic segmentation of anatomical structures from Diffusion Tensor MRI is presented here. We adopt an energy based approach to segmentation assuming a piecewise-smooth image model that allows tensors to change orientation inside bundles, complemented by adequate modeling of image statistics. Energy minimization is carried out using a greedy region-growing algorithm that is both efficient and robust. Although the framework is general and any tensor metric is supported, we use a simplified tensor representation that adapts well to the DTI setting and further improves computational performance. Segmentation results are generated automatically from a single seed point as illustrated on several real and synthetic datasets. |