Výsledky vyhledávání - "Jolivet, Frederic"

Report

Joint estimation of activity, attenuation and motion in respiratory-self-gated time-of-flight PET

Autor: Elhamiasl, Masoud, Jolivet, Frederic, Rezaei, Ahmadreza, Fieseler, Michael, Schäfers, Klaus, Nuyts, Johan, Schramm, Georg, Boada, Fernando

Whole-body PET imaging is often hindered by respiratory motion during acquisition, causing significant degradation in the quality of reconstructed activity images. An additional challenge in PET/CT imaging arises from the respiratory phase mismatch b

Externí odkaz: http://arxiv.org/abs/2412.15018

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Review

An Introduction to Domain Decomposition Methods: Algorithms, Theory, and Parallel Implementation Victorita Dolean Pierre Jolivet Frédéric Nataf

Autor: Meurant, Gérard

Publikováno v: SIAM Review, 2017 Jun 01. 59(2), 458-461.

Externí odkaz: https://www.jstor.org/stable/45109221

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Report

One-step inversion algorithms for spectral CT, with application to dynamic Cone Beam CT

Autor: Jolivet, Frederic, Schramm, Georg, Nuyts, Johan

Dual Energy Cone Beam Computed Tomography (DE-CBCT) is a promising technique for several medical applications, including dynamic angiography. Recently, a dynamical two-step method has been proposed : first, the water and iodine projections are comput

Externí odkaz: http://arxiv.org/abs/2112.09375

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Dissertation/ Thesis

Approches 'problèmes inverses' régularisées pour l'imagerie sans lentille et la microscopie holographique en ligne

Autor: Jolivet, Frederic

En imagerie numérique, les approches «problèmes inverses» régularisées reconstruisent une information d'intérêt à partir de mesures et d'un modèle de formation d'image. Le problème d'inversion étant mal posé, mal conditionné et le modè

Externí odkaz: http://www.theses.fr/2018LYSES012/document

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Regularized inverse problems approaches for lensless imaging and in-line holographie microscopy

Autor: Jolivet, Frederic

Publikováno v: Imagerie médicale. Université de Lyon, 2018. Français. ⟨NNT : 2018LYSES012⟩

In Digital Imaging, the regularized inverse problems methods reconstruct particular information from measurements and an image formation model. With an inverse problem that is ill-posed and illconditioned, and with the used image formation mode! ha

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::2dc614291017dd960be8be72ba01e6fe
https://tel.archives-ouvertes.fr/tel-02316039/document

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