Objetivo "Proton therapy has become a superioralternative to conventional radiotherapy for certain clinical indications. It potentially allows to deliver high dose to the tumor while sparing healthy surrounding tissue. However, a reduction of treatment uncertainties is required to fully exploit this advantage and precise knowledge of the relative stopping power (RSP) of the patient tissues on the day of treatment is needed to correctly predict the proton range in the treatment planning system (TPS). Modern imaging technology plays a key role here. Developing novel methods to produce volumetric images of the patient while positioned on the treatment couch lies at the heart of this proposal. More specifically, I propose to explore strategies to merge proton computed tomography (pCT) and cone beam CT (CBCT) acquired directly in the treatment room based on which accurate dose-of-the-day calculations can be performed. The idea arises from the complementary advantages of proton and X-ray imaging: The former potentially provides a highly accurate volumetric RSP map while the latter produces images of high spatial resolution. I will develop and implement a ""protonCBCT"" reconstruction algorithm which uses the CBCT data as prior, compensates for image noise through dedicated regularization methods, and builds the pCT image using state-of-the-art reconstruction techniques. I emphasize the clinical applicability of the project: I will A) consider pCT and CBCT data acquired with clinically available imaging technology, B) propose a treatment work flow to incorporate the new protonCBCT imaging, and C) validate our methods using clinically proven treatment planning software. To my knowledge, a combined pCT/CBCT imaging modality in a clinical context has not been studied yet. It has the potential of providing volumetric images with excellent quality acquired in situ directly prior to a treatment session and could eventually lead to higher treatment quality in proton therapy." Ámbito científico natural sciencescomputer and information sciencessoftwareengineering and technologymedical engineeringdiagnostic imagingcomputed tomographynatural sciencesphysical sciencesopticsmicroscopy Programa(s) H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions Main Programme H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility Tema(s) MSCA-IF-2016 - Individual Fellowships Convocatoria de propuestas H2020-MSCA-IF-2016 Consulte otros proyectos de esta convocatoria Régimen de financiación MSCA-IF-EF-ST - Standard EF Coordinador CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE CNRS Aportación neta de la UEn € 185 076,00 Dirección RUE MICHEL ANGE 3 75794 Paris Francia Ver en el mapa Región Ile-de-France Ile-de-France Paris Tipo de actividad Research Organisations Enlaces Contactar con la organización Opens in new window Sitio web Opens in new window Participación en los programas de I+D de la UE Opens in new window Red de colaboración de HORIZON Opens in new window Coste total € 185 076,00
