State of the Art Report 2004 on GPU-Based Segmentation

1. State of the Art Report 2004 on GPU-Based Segmentation Markus Hadwiger, Caroline Langer, Henning Scharsach, Katja Buhler Vienna, Austria Presented by Eugene Khokhlov GPU-Based Segmentation

2. An example of interactive segmentation of a brain tumor GPU-Based Segmentation

3. Segmentation of Mouse Liver GPU-Based Segmentation

4. The point is: The Level set computations and simultaneous visualization (as shown on previous images) are performed ENTIRELY ON GPU. It performs general floating-point computations in addition to rendering GPU-Based Segmentation

5. Great way to use GPU • For interactive segmentation of medical volume data. • That data involves solving a large number of equations • Equations are computationally very demanding. GPU-Based Segmentation

6. Segmentation Methods: • Thresholding = simplest • Boundary localization= Not suited for GPU • Region growing = Entirely Image based • Shape-Based = an actual object • Top-Down = databases • Hybrid = combination GPU-Based Segmentation

7. Region based method: Watershed transform GPU-Based Segmentation

8. Region Growing Nonlinear Diffusion GPU-Based Segmentation

9. Level Sets Detection of Inner and Outer Boundary GPU-Based Segmentation

10. Simultaneous Level Set Evolutions GPU-Based Segmentation

11. Level sets Volume Pre-Processing GPU-Based Segmentation