DocumentCode :
1015767
Title :
Radio Frequency Ablation Registration, Segmentation, and Fusion Tool
Author :
McCreedy, Evan S. ; Cheng, Ruida ; Hemler, Paul F. ; Viswanathan, Anand ; Wood, Bradford J. ; McAuliffe, Matthew J.
Author_Institution :
Center for Inf. Technol., Nat. Inst. of Health, Bethesda, MD
Volume :
10
Issue :
3
fYear :
2006
fDate :
7/1/2006 12:00:00 AM
Firstpage :
490
Lastpage :
496
Abstract :
The radio frequency ablation segmentation tool (RFAST) is a software application developed using the National Institutes of Health´s medical image processing analysis and visualization (MIPAV) API for the specific purpose of assisting physicians in the planning of radio frequency ablation (RFA) procedures. The RFAST application sequentially leads the physician through the steps necessary to register, fuse, segment, visualize, and plan the RFA treatment. Three-dimensional volume visualization of the CT dataset with segmented three dimensional (3-D) surface models enables the physician to interactively position the ablation probe to simulate burns and to semimanually simulate sphere packing in an attempt to optimize probe placement. This paper describes software systems contained in RFAST to address the needs of clinicians in planning, evaluating, and simulating RFA treatments of malignant hepatic tissue
Keywords :
biological tissues; image registration; image segmentation; medical image processing; radiofrequency heating; rendering (computer graphics); software tools; surgery; CT dataset; National Institutes of Health; ablation probes; image registration; image segmentation; image visualization; malignant hepatic tissue; medical decision making; medical image processing analysis; radio frequency ablation segmentation tool; radio frequency ablation treatment; rendering (computer graphics); segmented three dimensional surface model; three-dimensional volume visualization; Application software; Biomedical image processing; Fuses; Image analysis; Image segmentation; Probes; Process planning; Radio frequency; Software tools; Visualization; Ablation; biomedical image processing; blood vessels; image analysis; image registration; image segmentation; liver; medical decision making; rendering (computer graphics);
fLanguage :
English
Journal_Title :
Information Technology in Biomedicine, IEEE Transactions on
Publisher :
ieee
ISSN :
1089-7771
Type :
jour
DOI :
10.1109/TITB.2006.872076
Filename :
1650502
Link To Document :
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