|Recent advances in acquisition, sensing and robot technology have generated an explosion of high resolution and high frequency medical image and video data. Conventional serial computation is inadequate for handling these modern data leading to computation times in the order of hours and often days and a common practice of sub-sampling data. High-performance computing-cluster, multi-processor and multi-core technology with high-volume throughput and vector processing capabilities-promises to unlock the full potential of contemporary medical imaging data and make a strong impact in transferring medical imaging research from the lab into clinical practice. However, high-performance technologies are complex and their exploration in the medical domain is leading to new and interesting research problems. The goal of this workshop is to provide a high quality forum for researchers to discuss and disseminate their findings on these problems. The HP-MICCAI workshop will take an in-depth look at current research trends in high-performance medical image computing and intervention.||
Selected workshop contributors will be invited to submit an extended version of their papers to a special issue of the Computing Methods and Programs in Biomedicine Journal (Elsevier), and we are finalizing a book based on the workshop with WSJ.