FAST: A framework for high-performance medical image computing and visualization
Erik Smistad · International Workshop on OpenCL · 2021
Medical image processing and visualization is often computationally demanding. Ultrasound images are acquired in real-time and needs to be processed at a high framerate with low latency. Computed tomography (CT) and magnetic resonance imaging (MRI) create large three dimensional volumes with sizes up to 512 × 512 × 800 voxels. In digital pathology, whole slide microscopy images can have an extreme image size of up to 200, 000 × 100, 000 pixels, which does not even fit into the memory of most computers. Thus, there is a need for smart data storage, processing and visualization methods to handle medical image data.