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dc.contributor.authorArdon, Roberto*
hal.structure.identifier
dc.contributor.authorCohen, Laurent D.
HAL ID: 738939
*
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dc.contributor.authorCorréas, Jean-Michel*
hal.structure.identifier
dc.contributor.authorCuingnet, O.*
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dc.contributor.authorMory, Benoît*
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dc.contributor.authorPrevost, Raphaël*
dc.date.accessioned2014-01-13T08:43:23Z
dc.date.available2014-01-13T08:43:23Z
dc.date.issued2014
dc.identifier.urihttps://basepub.dauphine.fr/handle/123456789/12411
dc.language.isoenen
dc.subjectDetection
dc.subjectKidney
dc.subjectSegmentation
dc.subjectContrast
dc.subject3D Ultrasound
dc.subjectCEUS
dc.subject.ddc519en
dc.titleKidney Detection and Segmentation in Contrast-Enhanced Ultrasound 3D Images
dc.typeChapitre d'ouvrage
dc.description.abstractenContrast-enhanced ultrasound (CEUS) imaging has lately benefited of an increasing interest for diagnosis and intervention planning, as it allows to visualize blood flow in real-time harmlessly for the patient. It complements thus the anatomical information provided by conventional ultrasound (US). This chapter is dedicated to kidney segmentation methods in 3D CEUS images. First we present a generic and fast two-step approach to locate (via a robust ellipsoid estimation algorithm) and segment (using a template deformation framework) the kidney automatically. Then we show how user interactions can be integrated within the algorithm to guide or correct the segmentation in real-time. Finally, we develop a co-segmentation framework that generalizes the aforementioned method and allows the simultaneous use of multiple images (here the CEUS and the US images) to improve the segmentation result. The different approaches are evaluated on a clinical database of 64 volumes.
dc.identifier.citationpages773
dc.relation.ispartoftitleAbdomen and Thoracic Imaging. An Engineering & Clinical Perspective
dc.relation.ispartofeditorSuri, Jasjit
dc.relation.ispartofpublnameSpringer
dc.relation.ispartofpublcityBerlin Heidelberg
dc.relation.ispartofdate2014
dc.subject.ddclabelProbabilités et mathématiques appliquéesen
dc.relation.ispartofisbn978-1-4614-8497-4
dc.relation.forthcomingnonen
dc.description.ssrncandidatenon
dc.description.halcandidateoui
dc.description.readershiprecherche
dc.description.audienceInternational
dc.date.updated2017-02-24T18:26:12Z
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