Please use this identifier to cite or link to this item: http://repositorio.ugto.mx/handle/20.500.12059/2225
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dc.rights.licensehttp://creativecommons.org/licenses/by-nc-nd/4.0es_MX
dc.contributorJUAN GABRIEL AVIÑA CERVANTESes_MX
dc.creatorELISEE ILUNGA MBUYAMBA-
dc.date.accessioned2020-08-05T18:49:03Z-
dc.date.available2020-08-05T18:49:03Z-
dc.date.issued2017-08-
dc.identifier.urihttp://repositorio.ugto.mx/handle/20.500.12059/2225-
dc.language.isoengen
dc.rightsinfo:eu-repo/semantics/openAccesses_MX
dc.subject.classificationCIS- Doctorado en Ingeniería Eléctricaes_MX
dc.titleBrain Tumor Tissue Segmentation in Multimodal Imagesen
dc.typeinfo:eu-repo/semantics/doctoralThesises_MX
dc.creator.idinfo:eu-repo/dai/mx/cvu/493442es_MX
dc.subject.ctiinfo:eu-repo/classification/cti/7es_MX
dc.subject.ctiinfo:eu-repo/classification/cti/33es_MX
dc.subject.ctiinfo:eu-repo/classification/cti/3314es_MX
dc.subject.keywordsBrain Tumor Tissue - Segmentationen
dc.subject.keywordsMultimodal Imagesen
dc.subject.keywordsMRI ( Magnetic Resonance Imaging)en
dc.subject.keywordsiUS (intraoperative Ultrasound)en
dc.subject.keywordsCEUS (Contrast-Enhanced Ultrasound)en
dc.contributor.idinfo:eu-repo/dai/mx/cvu/37149es_MX
dc.contributor.roledirectores_MX
dc.type.versioninfo:eu-repo/semantics/publishedVersiones_MX
dc.contributor.oneClaire Chalopin-
dc.contributor.idoneinfo:eu-repo/dai/mx/orcid/0000-0001-9309-7531es_MX
dc.contributor.roleonedirectores_MX
dc.publisher.universityUniversidad de Guanajuatoes_MX
dc.description.abstractEnglishBrain tumor is one of the main cause of death in the world. Its possible treatment consists in a surgery performed by neurosurgeons who open the skull (called craniotomy) for removing abnormal cells. After tumor resection, patients benefit of improved survival and life quality. Multimodal images, preoperative Magnetic Resonance Imaging (MRI) and intraoperative Ultrasound (iUS) data, are in general used to support this complex surgical operation. Preoperative images allow the tumor diagnosis and the surgery planning. Intraoperative data provide an update in the visualization of the brain during the operation and enable the control of resection. Indeed, geometrical parameters like tumor volume, position and distance to risk structures are needed for the success of the surgery. Thus, the detection and extraction of tumorous tissues are important. In this work, the brain tumor segmentation in multimodal images is addressed. Tumorous tissue extraction consists in three main stages. First, alternative methods for brain tumor segmentation in MRI are proposed. Second, the tumor delineation in iUS using a patient specifc MR tumor model is suggested. Third, an approach based on the fusion of intraoperative B-mode and contrast-Enhanced Ultrasound (CEUS) data is suggested for detection of tumor residuals in iUS.en
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