NDLI: Detection of blood vessels for radio-frequency ablation treatment planning

Content Provider	IEEE Xplore Digital Library
Author	Yim, P.J. Marcos, H.B. Choyke, P.L. Hvizda, J.L. Libutti, S.K. Wood, B.J.
Copyright Year	2001
Description	Author affiliation: Imaging Sci. Program, Nat. Inst. of Health, Bethesda, MD, USA (Yim, P.J.)
Abstract	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.
Sponsorship	IEEE Comput. Soc. Tech. Committee on Computational Med.
Starting Page	123
Ending Page	126
File Size	210485
Page Count	4
File Format	PDF
ISBN	0769510043
ISSN	10637125
DOI	10.1109/CBMS.2001.941708
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2001-07-26
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Blood vessels Radio frequency Neoplasms Biomedical imaging Magnetic resonance Arteries Veins Impedance Blood flow Visualization
Content Type	Text
Resource Type	Article
Subject	Radiology, Nuclear Medicine and Imaging Computer Science Applications

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