Fast Volume Segmentation With Simultaneous Visualization Using Programmable Graphics Hardware

September 2nd, 2003

This IEEE Visualization 2003 paper by Sherbondy et al. describes a fast approach to segmentation with simultaneous visualization for medical imaging using the GPU. Specifically, their approach iterates a seeded region growing algorithm, where the seeds are dispersed according to a nonlinear diffusion process. An implicit segmentation surface is then defined according to the population of the seed volume. This paper also introduces the technique of computational masking, whereby the depth buffer is used to limit computation to an active subvolume. This segmentation algorithm is shown to be 10-20 times faster than an SSE2 optimized CPU version of the algorithm. (Fast Volume Segmentation With Simultaneous Visualization Using Programmable Graphics Hardware. Anthony Sherbondy, Mike Houston, Sandy Napel. To appear in IEEE Visualization 2003)

Leave a Comment