The role of computers in medical image display and analysis continues to be one of the most computationally demanding
tasks facing modern computers. Recent advances in GPU architecture have allowed for a new programming paradigm
which utilized the massively parallel computational capacity of GPUs for general purpose computing. These parallel
processors provide substantial performance benefits in image analysis and manipulation. Automated segmentation
algorithms gain the most benefit from incorporation of GPU computing into the image processing workflow. There are
also new visualization paradigms, such as stereoscopic 3D, which have been made possible by the continued increase in
computational capacity of GPUs. These two key functions of modern GPUs will enable medical imagers to keep pace
with the increasing size of scan data sets while allowing for new and innovative analysis and interaction paradigms.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.