The use of CUDA for accelerating medical techniques is one of the major themes at the GPU Technology Conference today. The focus on medicine began in Jen-Hsun Huang’s keynote this morning, as he showed amazing video of robotic, minimally-invasive surgery on a patient’s beating heart.
In addition to cardiac surgery, researchers from several prominent universities also presented technical sessions today on how they are using CUDA to accelerate medical imaging. Here are a few of today’s sessions:
- Algorithms for Automated Segmentation of Medical Imaging Studies Utilizing CUDA – Researchers at the University of Pennsylvania explained how GPU computing can help doctors make sense of modern imaging studies. They mainly focused on algorithmic approaches to segmentation as it pertains to computed tomography angiography studies.
- Unveiling Cellular & Molecular Events of Cardiac Arrhythmias — George Mason University talked about using CUDA technology to get a 20x speed-up in simulations of intracellular calcium dynamics, thought to play a major role in the generation of cardiac arrhythmias.
- Nearly Instantaneous Reconstruction for MRIs – GE Global Research shared research on a computationally intensive, widely used algorithm in MRI Reconstruction using Parallel Imaging. They showed that an optimized CUDA implementation of their algorithm on a GPU can enable nearly instantaneous reconstruction and speedups of up to 10x over an optimized dual socket QuadCore CPU implementation.