By Topic

Tissue retraction for model-updated image-guided neurosurgery

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

5 Author(s)
Miga, M.I. ; Dartmouth Coll., Hanover, NH, USA ; Paulsen, K.D. ; Kennedy, F.E. ; Hartov, A.
more authors

With the adoption of neuronavigation techniques to aid in surgery, preoperative image-guidance has been used for the precise application of surgical instruments in the OR. However, the effect of intraoperative tissue motion on image registration has been recently quantified and shown to be significant. Given the wealth of preoperative imaging information and the availability of sparse inexpensive intraoperative data, the authors believe computational models can play a significant role in updating high resolution image databases during surgery. In order for model-updating to become a practical reality, the model must be able to account for hydrodynamic changes, gravity-induced shift, retraction and excision. In this paper, the authors illustrate a strategy for the retraction of tissue

Published in:

[Engineering in Medicine and Biology, 1999. 21st Annual Conference and the 1999 Annual Fall Meetring of the Biomedical Engineering Society] BMES/EMBS Conference, 1999. Proceedings of the First Joint  (Volume:1 )

Date of Conference: