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