Scheduled System Maintenance:
Some services will be unavailable Sunday, March 29th through Monday, March 30th. We apologize for the inconvenience.
By Topic

Detection of blood vessels for radio-frequency ablation treatment planning

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

6 Author(s)
Yim, P.J. ; Imaging Sci. Program, Nat. Inst. of Health, Bethesda, MD, USA ; Marcos, H.B. ; Choyke, P.L. ; Hvizda, J.L.
more authors

Radiofrequency ablation (RFA) is a minimally-invasive image-guided method for the local destruction of tumors. Successful ablation, or burning, of tumors, is impeded by blood flow in the vicinity of the tumor that tends to cool the tissue. We have developed methods for visualizing the tumors and their spatial relation to blood vessels for the purpose of treatment planning. We apply these methods to hepatic tumors. The visualization method employs contrast-enhanced (Gd-DTPA) magnetic resonance angiography (MRA) and magnetic resonance venography (MRV). The arteries and veins are delineated using the ordered region-growing (ORG) skeletonization algorithm. Tumors are contoured manually. A shaded surface display is generated that includes arteries, veins and tumors. This 3D map is to be used to optimize treatment planning and to better limit the effects of perfusion on tumor ablation. A better understanding of the relationship of blood vessel location, size and flow to thermal lesions could facilitate improved patient outcomes

Published in:

Computer-Based Medical Systems, 2001. CBMS 2001. Proceedings. 14th IEEE Symposium on

Date of Conference: