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

Result code in 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>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Localizing Metal Electrode from 3D Ultrasound Data Using RANSAC and Intensity Priors
Original language description
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.
Czech name
Není k dispozici
Czech description
Není k dispozici

Project
<a href="/en/project/1ET101050403" target="_blank" >1ET101050403: Artificial inteligence methods in diagnostics from medical images</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2005
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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