Line filtering for detection of microtools in 3D ultrasound data

Kód výsledku v IS VaVaI

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Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Line filtering for detection of microtools in 3D ultrasound data

Popis výsledku v původním jazyce

We propose a robust method for localization of elongated surgical tools in 3D ultrasound data based on shape analysis. A new model of a surgical tool appearance in 3D ultrasound image is proposed which exploits its tubular shape. The tool axis is estimated with robust model fitting using a randomized RANSAC procedure. The tool model requires the voxels close to the axis to have a high intensity, high tubularness, and the local principal directions to be consistent with the tool axis. The visual contrastof the tool can be enhanced four-fold using line filtering. We demonstrate that classification rate is improved by 25-40% when adding the tubularness attribute. The comparison to other state-of-the-art localization methods shows that the proposed methodis the most robust for data with high level of noise at the expense of additional time for pre-processing (less than 10 seconds for volume of size 53x71x260 voxels).

Název v anglickém jazyce

Line filtering for detection of microtools in 3D ultrasound data

Popis výsledku anglicky

We propose a robust method for localization of elongated surgical tools in 3D ultrasound data based on shape analysis. A new model of a surgical tool appearance in 3D ultrasound image is proposed which exploits its tubular shape. The tool axis is estimated with robust model fitting using a randomized RANSAC procedure. The tool model requires the voxels close to the axis to have a high intensity, high tubularness, and the local principal directions to be consistent with the tool axis. The visual contrastof the tool can be enhanced four-fold using line filtering. We demonstrate that classification rate is improved by 25-40% when adding the tubularness attribute. The comparison to other state-of-the-art localization methods shows that the proposed methodis the most robust for data with high level of noise at the expense of additional time for pre-processing (less than 10 seconds for volume of size 53x71x260 voxels).

Druh

D - Stať ve sborníku

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

2009

Kód důvěrnosti údajů

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

Název statě ve sborníku

Ultrasonics Symposium (IUS), 2009 IEEE International

ISBN

978-1-4244-4390-1

ISSN

1948-5719

e-ISSN

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Počet stran výsledku

4

Strana od-do

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Název nakladatele

IEEE Ultrasonics, Ferroelectrics, and Frequency Control Society

Místo vydání

Piscataway

Místo konání akce

Rome

Datum konání akce

20. 9. 2009

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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