Registration and segmentation of multislice 3DCT images : Application to laparoscopic surgery of the upper urinary system
Identifieur interne : 005E16 ( Main/Curation ); précédent : 005E15; suivant : 005E17Registration and segmentation of multislice 3DCT images : Application to laparoscopic surgery of the upper urinary system
Auteurs : Erwan Kerrien ; Jacques Hubert ; Marie-Odile Berger ; Alain BlumSource :
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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<author><name sortKey="Hubert, Jacques" sort="Hubert, Jacques" uniqKey="Hubert J" first="Jacques" last="Hubert">Jacques Hubert</name>
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<author><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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<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Medical imaging</term>
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<front><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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