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Représentation sémantique des biomarqueurs d’imagerie dans le domaine médical

Abstract : In personalized medicine, radiological measurements and observations play an important role; in particular they help clinicians in making their diagnosis, selecting the appropriate treatment and monitoring the therapeutic response to an intervention as for example the Response Evaluation Criteria in Solid Tumors (RECIST). Many radiology-pathology correlation studies show that quantitative and qualitative imaging features are associated to genetic alterations and gene expression. Therefore, suitable management of imaging phenotypes is needed to facilitate their use and reuse in multiple studies regarding radiological measurements. In litterature, radiological measurements that characterize biological processes of imaged subjects are called imaging biomarkers. The main objective of this thesis is to propose an ontological conceptualisation of imaging biomarkers to make their meaning explicit and formal, improve structured reporting of images. The first part of the thesis presents a generic ontology that defines basic aspects of the imaging biomarker concept, namely; measured biological characteristic, measurement protocols and role in decision making application. The second part of the thesis adresses important semantic modeling challenges related to the description of neuro-imaging data using existing biomedical knowledge, as well as it proposes some “relevant” solutions to the most typical situations that need to be modeled in glioblastoma.
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Submitted on : Monday, May 28, 2018 - 4:40:27 PM
Last modification on : Wednesday, September 14, 2022 - 10:20:04 AM
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  • HAL Id : tel-01801778, version 1


Emna Amdouni. Représentation sémantique des biomarqueurs d’imagerie dans le domaine médical. Traitement des images [eess.IV]. Université Rennes 1, 2017. Français. ⟨NNT : 2017REN1S124⟩. ⟨tel-01801778⟩



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