Model Fitting Using RANSAC for Surgical Tool Localization in 3-D Ultrasound Images
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F10%3A00168921" target="_blank" >RIV/68407700:21230/10:00168921 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Model Fitting Using RANSAC for Surgical Tool Localization in 3-D Ultrasound Images
Original language description
Ultrasound guidance is used for many surgical interventions such as biopsy and electrode insertion. We present a~method to localize a thin surgical tool such as a biopsy needle or a micro-electrode in a 3D ultrasound image. The proposed method starts with thresholding and model fitting using RANSAC for robust localization of the axis. Subsequent local optimization refines its position. Two different tool image models are presented, one simple and fast, the second using learned a priori information on the tool's voxel intensities and the background. Finally, the tip of the tool is localized by finding an intensity drop along the axis. The simulation study shows that our algorithm can localize the tool at nearly real-time speed, even using a MATLAB implementation, with accuracy better than 1mm. In an experimental comparison to several alternative localization methods, our method appears to be the fastest and the most robust one.
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
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Result continuities
Project
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Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)<br>R - Projekt Ramcoveho programu EK
Others
Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
IEEE Transactions on Biomedical Engineering
ISSN
0018-9294
e-ISSN
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Volume of the periodical
57
Issue of the periodical within the volume
8
Country of publishing house
US - UNITED STATES
Number of pages
10
Pages from-to
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UT code for WoS article
000282000900010
EID of the result in the Scopus database
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