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Tool Localization in 3D Ultrasound Images (Demonstration Application)

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F09%3A00164436" target="_blank" >RIV/68407700:21230/09:00164436 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Tool Localization in 3D Ultrasound Images (Demonstration Application)

  • Original language description

    The tool localization method is based on model fitting using RANSAC (RNS) and two models of tool in 3D US have been proposed (RNS+AxShp, RNS+IntDstr) in [1]. A method RNS+LineFilter does line filtering to enhance contrast between needle and background has been proposed in [2]. The models IntDstr and LineFilter were learned on training data, while the model AxShp does not use any learning. Note that for a question of speed the method RNS+LineFilter is reading line-filtered data from the file computed inpre-processing.

  • Czech name

  • Czech description

Classification

  • Type

    R - Software

  • CEP classification

    JD - Use of computers, robotics and its application

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2009

  • Confidentiality

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

Data specific for result type

  • Internal product ID

    Tool Localization in 3D Ultrasou

  • Technical parameters

    Compiled binary for Win32 and 3D ultrasound datasets

  • Economical parameters

  • Owner IČO

    68407700

  • Owner name

    ČVUT FEL, Katedra kybernetiky