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18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05)
Radio Frequency Ablation Registration, Segmentation, and Fusion Tool
Dublin, Ireland
June 23-June 24
ISBN: 0-7695-2355-2
ASCII Text
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Evan S. McCreedy, Ruida Cheng, Paul F. Hemler, Anand Viswanathan, Brad J. Wood, Matthew J. McAuliffe, "Radio Frequency Ablation Registration, Segmentation, and Fusion Tool," Computer-Based Medical Systems, IEEE Symposium on, pp. 259-264, 18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05), 2005.
 
 
BibTex
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@article{ 10.1109/CBMS.2005.92,
author = {Evan S. McCreedy and Ruida Cheng and Paul F. Hemler and Anand Viswanathan and Brad J. Wood and Matthew J. McAuliffe},
title = {Radio Frequency Ablation Registration, Segmentation, and Fusion Tool},
journal ={Computer-Based Medical Systems, IEEE Symposium on},
volume = {0},
year = {2005},
issn = {1063-7125},
pages = {259-264},
doi = {http://doi.ieeecomputersociety.org/10.1109/CBMS.2005.92},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Computer-Based Medical Systems, IEEE Symposium on
TI - Radio Frequency Ablation Registration, Segmentation, and Fusion Tool
SN - 1063-7125
SP259
EP264
A1 - Evan S. McCreedy,
A1 - Ruida Cheng,
A1 - Paul F. Hemler,
A1 - Anand Viswanathan,
A1 - Brad J. Wood,
A1 - Matthew J. McAuliffe,
PY - 2005
KW - null
VL - 0
JA - Computer-Based Medical Systems, IEEE Symposium on
ER -
 
Evan S. McCreedy, National Institutes of Health
Ruida Cheng, National Institutes of Health
Paul F. Hemler, Hampden-Sydney College
Anand Viswanathan, National Institutes of Health
Brad J. Wood, National Institutes of Health
Matthew J. McAuliffe, National Institutes of Health
The Radio Frequency Ablation Segmentation Tool (RFAST) is a software application developed using NIH?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 3D surface models enables the physician to interactively position the ablation probe to simulate burns and to semi-manually simulate sphere packing in an attempt to optimize probe placement.
Citation:
Evan S. McCreedy, Ruida Cheng, Paul F. Hemler, Anand Viswanathan, Brad J. Wood, Matthew J. McAuliffe, "Radio Frequency Ablation Registration, Segmentation, and Fusion Tool," cbms, pp.259-264, 18th IEEE Symposium on Computer-Based Medical Systems (CBMS'05), 2005
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