Automatic 4D (3D+time) Segmentation of Cardiac MRI

1. Automatic 4D (3D+time)
Segmentation of Cardiac MRI
CPCC & KLAB
UC Irvine
August 2014

2. Agenda
● Introduction
● Current Work
● Future work

3. Introduction
● LV and Myocardium
Segmentation

4. Challenges in CMR Segmentation
● Poor contrast between myocardium and surrounding
● Diverse brightness in the LV cavity due to blood flow
● Presence of papillary muscles
● Segmentation complexity of apical
and basal slice images
● Inherent noise caused by motion
artifacts, heart dynamics
● Shape and intensity variability of the LV

5. 3D Automatic Segmentation
● Developed Algorithm

6. Phase 0: Automatic Localization
● Input: Raw Image Output: Chamber Location
Automatic
Chamber Detection

7. Phase I: 3D Segmentation of LV
3D
Segmentation

8. Phase II: Intra-Chamber Inclusion
Intra-Chamber
Inclusion

9. Phase III: Myocardial Segmentation
3D
Segmentation

10. Future Work: 4D (3D+time) Segmentation
Moving Heart