Model Fitting Using RANSAC for Surgical Tool Localization in 3-D Ultrasound Images

Kód výsledku v 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>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Model Fitting Using RANSAC for Surgical Tool Localization in 3-D Ultrasound Images

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Model Fitting Using RANSAC for Surgical Tool Localization in 3-D Ultrasound Images

Popis výsledku anglicky

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.

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

JD - Využití počítačů, robotika a její aplikace

OECD FORD obor

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Projekt

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Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)<br>R - Projekt Ramcoveho programu EK

Rok uplatnění

2010

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

IEEE Transactions on Biomedical Engineering

ISSN

0018-9294

e-ISSN

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Svazek periodika

57

Číslo periodika v rámci svazku

8

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

10

Strana od-do

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Kód UT WoS článku

000282000900010

EID výsledku v databázi Scopus

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