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Registration and segmentation of multislice 3DCT images : Application to laparoscopic surgery of the upper urinary system

Identifieur interne : 005E16 ( Main/Curation ); précédent : 005E15; suivant : 005E17

Registration and segmentation of multislice 3DCT images : Application to laparoscopic surgery of the upper urinary system

Auteurs : Erwan Kerrien ; Jacques Hubert ; Marie-Odile Berger ; Alain Blum

Source :

RBID : CRIN:kerrien05a

English descriptors

Abstract

A clear identification of arteries, veins and urinary tracts, together with their simultaneous visualization in 3D is required when planning laparoscopic surgery on kidneys. To this aim, multiple contrast-enhanced CT scans are acquired at different times during blood circulation, but the kidney motion, among other causes, seriously hampers their direct fusion. This study aims at developing algorithms to represent in 3D, from such images, the kidney surroundings as close as possible to the surgical reality.

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CRIN:kerrien05a

Le document en format XML

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<title xml:lang="en" wicri:score="399">Registration and segmentation of multislice 3DCT images : Application to laparoscopic surgery of the upper urinary system</title>
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<title xml:lang="en">Registration and segmentation of multislice 3DCT images : Application to laparoscopic surgery of the upper urinary system</title>
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<name sortKey="Hubert, Jacques" sort="Hubert, Jacques" uniqKey="Hubert J" first="Jacques" last="Hubert">Jacques Hubert</name>
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<name sortKey="Berger, Marie Odile" sort="Berger, Marie Odile" uniqKey="Berger M" first="Marie-Odile" last="Berger">Marie-Odile Berger</name>
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<name sortKey="Blum, Alain" sort="Blum, Alain" uniqKey="Blum A" first="Alain" last="Blum">Alain Blum</name>
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<term>Medical imaging</term>
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<term>multislice CT</term>
<term>urology</term>
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<div type="abstract" xml:lang="en" wicri:score="1207">A clear identification of arteries, veins and urinary tracts, together with their simultaneous visualization in 3D is required when planning laparoscopic surgery on kidneys. To this aim, multiple contrast-enhanced CT scans are acquired at different times during blood circulation, but the kidney motion, among other causes, seriously hampers their direct fusion. This study aims at developing algorithms to represent in 3D, from such images, the kidney surroundings as close as possible to the surgical reality.</div>
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{{Explor lien
   |wiki=    Wicri/Lorraine
   |area=    InforLorV4
   |flux=    Main
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   |type=    RBID
   |clé=     CRIN:kerrien05a
   |texte=   Registration and segmentation of multislice 3DCT images : Application to laparoscopic surgery of the upper urinary system
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