「Medical Image Computing and Therapeutic Procedures」
3月8日 10：30〜12：00（東京大学 工学部14号館142講義室）
The use of medical images in the context of therapeutic procedures is on the rise. Pre-procedural images are used both for planning and for intra-procedural guidance. In addition, we see an increasing use of intra-procedural imaging, most commonly US, X-ray and endoscopy, but increasingly including CT and even MR. Use of MIC technologies on intra-procedural images raises many interesting boundary conditions:
typically there are only limited computational resources accessible and only a few seconds or minutes available to perform the computing. On the other hand not everything needs to be automated and the demands for precision vary. Translation of technology in our field is fairly slow.
Because of this, many more MIC technologies have yet to make the translation from the laboratory into clinical practice.
The MIC community has spent relatively little effort in exploring this very promising constraint space. Accordingly, there is a rich potential for new research topics. Another area with need for innovation is on the level of software systems for integration and workflow support.
Full-fledged platforms are needed as a start point for this type of research. The traditional approach to research in MIC is that a graduate student is given images from one example case and creates a platform from scratch to enable their research on that data. This approach limits the capabilities and robustness of such research platforms. It is increasingly necessary to change the way problems are approached in order to make progress in the context of actual procedures.
Professor Ron Kikinis
– Founding Director of the Surgical Planning Laboratory, Department of Radiology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
– Professor of Radiology at Harvard Medical School