1. Segmentation of Subcortical Sructures in MR Images VPA

2. 2 Outline Introduction –MRI Segmentation. Subcortical structures. –Challenging Problems. Low Contrast Shape & Topological Complexity Database Tools –MRI visualization tool. Make traning set Generate ground truth. Segmentation Issue –Our Task –Results –Validation

3. VPA3 Introduction Subcortical Structures (BG) Neurodegenerative diseases, such as Alzheimer and Parkinson. Early detection requires thorough understanding of the chemical and anatomical changes in the brain. Automatic segmentation methods to detect changes Determine shape abnormalities and help radiologists to find out the functionals of different organs in neurological diseases

4. VPA4 Introduction Subcortical Structures (BG)

5. VPA5 Challenging Problems Shape & Topological Complexity, Low Contrast Low Contrast Very similar intensity values for different tissues Very closed positions of organs. Multi pieced structured organs.

6. VPA6 Database ASM – Siemens (Avanto) T2 and PD sequence, dicom. 18 normal patient 1. 5 T 512 x 448 dimension 3 mm slice thickness T1 sequence, dicom 3 Patient 1. 5 T 512 x 448, dim. 1 mm slice thickness

7. VPA7 Tools Visualization

8. VPA8 Tools Generate Training

9. VPA9 Segmentation Issue Our Task –Use of curve evolution based segmentation methods Region Based (Chan & Vese) –The use of shape priors Embedding non parametric joint shape model into segmentation process. –The use of information, obtained from spatial position relation within the organs. Embedding relative pose prior information of neighboring structures.

10. VPA10 Segmentation Results Putamen & Caudate Without Shape Knowledge With Shape Knowledge With Joint Shape Knowledge

11. VPA11 Segmentation Validation