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Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F05%3A03117043" target="_blank" >RIV/68407700:21230/05:03117043 - 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

Localizing Metal Electrode from 3D Ultrasound Data Using RANSAC and Intensity Priors

Popis výsledku v původním jazyce

In surgical interventions, miniature metallic tools such as thin electrodes and needles are introduced in tissue. Tracking systems are used to estimate their precise position. In this paper we describe an algorithm that exploits a three-dimensional ultrasound image and raw radio-frequency (RF) signal to determine the position of a thin, metallic electrode in biological tissue. We assume that electrode appears in 3D ultrasound image as a bright, elongated region. To estimate its position, a mathematicalmodel of the region was established. It approximates the electrode axis with a polynomial curve. The voxel intensity distribution near the ray axis was determined from acquired RF signals. The model parameters are estimated by the RANSAC estimator. Finally, the electrode endpoints are located. The method was tested on real ultrasound data of a phantom with a thin tungsten electrode inserted. The results of experiments show that the method is stable even if the data are very noisy.

Název v anglickém jazyce

Localizing Metal Electrode from 3D Ultrasound Data Using RANSAC and Intensity Priors

Popis výsledku anglicky

In surgical interventions, miniature metallic tools such as thin electrodes and needles are introduced in tissue. Tracking systems are used to estimate their precise position. In this paper we describe an algorithm that exploits a three-dimensional ultrasound image and raw radio-frequency (RF) signal to determine the position of a thin, metallic electrode in biological tissue. We assume that electrode appears in 3D ultrasound image as a bright, elongated region. To estimate its position, a mathematicalmodel of the region was established. It approximates the electrode axis with a polynomial curve. The voxel intensity distribution near the ray axis was determined from acquired RF signals. The model parameters are estimated by the RANSAC estimator. Finally, the electrode endpoints are located. The method was tested on real ultrasound data of a phantom with a thin tungsten electrode inserted. The results of experiments show that the method is stable even if the data are very noisy.

Druh

A - Audiovizuální tvorba

CEP obor

JD - Využití počítačů, robotika a její aplikace

OECD FORD obor

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Projekt

<a href="/cs/project/1ET101050403" target="_blank" >1ET101050403: Metody umělé inteligence v diagnostice z medicínských obrazů</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2005

Kód důvěrnosti údajů

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

ISBN

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Místo vydání

Praha

Název nakladatele resp. objednatele

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Verze

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Identifikační číslo nosiče

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