The Publication Database hosted by SPL
|
All Publications
Upload
Advanced Search
Gallery View
Download Statistics
Help
Import
Log in
Real-Time Image Segmentation for Image-Guided Surgery
|
|
Institution: |
Department of Radiology, Harvard Medical School and Brigham and Women's Hospital, Boston, Massachusetts 02115, USA. |
Publisher: |
Supercomputing |
Publication Date: |
Nov-1998 |
Citation: |
IEEE/ACM Conference on Supercomputing 1998; 42. |
Keywords: |
template moderated segmentation, nearest neighbour classification |
Appears in Collections: |
CRL, NCIGT, SPL |
Generated Citation: |
Warfield S, Jolesz F, Kikinis R. Real-Time Image Segmentation for Image-Guided Surgery. IEEE/ACM Conference on Supercomputing 1998; 42. |
| Downloaded: | 504 times. [view map] |
| Paper: | Download, View online |
| Export citation: |
Image-guided surgery is an application for which high performance computing is increasingly becoming a critical technology. Advances in image-guided surgery techniques have made it possible to acquire images of a patient whilst the surgery is taking place, to align these images with high resolution 3D scans of the patient acquired preoperatively and to merge intraoperative images from multiple imaging modalities. The application of these technologies has now become a routine clinical procedure in some hospitals. However, as the type of procedures undertaken is expanded, it is becoming clear that the use of image fusion and linear registration technology alone has some limitations. We have developed a novel image segmentation algorithm that makes use of an individualized template of normal patient anatomy in order to compute the segmentation of intraoperative imaging data. Intraoperative image segmentation is highly data and compute intensive. In order to achieve accurate segmentation in a time frame compatible with surgical intervention, we have developed a parallel version of our segmentation algorithm, and implemented the algorithm on a symmetric multiprocessor architecture. We have studied the accuracy of the segmentation algorithm, and the scalability and bandwidth requirements of our parallel implementation.
Additional Material
1 File (404.74kB)
Warfield-SC1998-fig2.jpg (404.74kB)