NIBART: A New Interval Based Algebraic Reconstruction Technique for Error Quantification of Emission Tomography Images

Olivier Strauss; Abdelkabir Lahrech; Agnès Rico; Denis Mariano-Goulart; Benoit Telle

doi:10.1007/978-3-642-04268-3_19

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NIBART: A New Interval Based Algebraic Reconstruction Technique for Error Quantification of Emission Tomography Images

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NIBART: A New Interval Based Algebraic Reconstruction Technique for Error Quantification of Emission Tomography Images

Olivier Strauss, Abdelkabir Lahrech, Agnès Rico, Denis Mariano-Goulart et Benoit Telle

Medical Image Computing and Computer-Assisted Intervention -- MICCAI 200912th International Conference, London, UK, September 20-24, 2009, Proceedings, Part I, Vol.LNCS(5761), pp.148-155

Part I

MICCAI 2009 - 12th International Conference on Medical Image Computing and Computer-Assisted Intervention (London, United Kingdom, 20/09/2009–24/09/2009)

24/09/2009

DOI: https://doi.org/10.1007/978-3-642-04268-3_19

Résumé

Emission tomography

error quantification

inverse problem

non additive measure

Emission tomography

This article presents a new algebraic method for reconstructing emission tomography images. This approach is mostly an interval extension of the conventional SIRT algorithm. One of the main characteristic of our approach is that the reconstructed activity associated with each pixel of the reconstructed image is an interval whose length can be considered as an estimate of the impact of the random variation of the measured activity on the reconstructed image. This work aims at investigating a new methodological concept for a reliable and robust quantification of reconstructed activities in scintigraphic images.

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Détails

Titre: NIBART: A New Interval Based Algebraic Reconstruction Technique for Error Quantification of Emission Tomography Images
Créateurs - sans rôle: Olivier Strauss - Centre National de la Recherche Scientifique
Abdelkabir Lahrech - Université de Montpellier, Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier - LIRMM
Agnès Rico - Centre National de la Recherche Scientifique
Denis Mariano-Goulart - Hôpital Lapeyronie
Benoit Telle - Université de Montpellier, Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier - LIRMM
Contributeurs - sans rôle: G.-Z. Yang
Détails de publication: Medical Image Computing and Computer-Assisted Intervention -- MICCAI 200912th International Conference, London, UK, September 20-24, 2009, Proceedings, Part I, Vol.LNCS(5761), pp.148-155
Colloque: MICCAI 2009 - 12th International Conference on Medical Image Computing and Computer-Assisted Intervention (London, United Kingdom, 20/09/2009–24/09/2009)
Publications en série: Part I
Identifiants: 9942593409311
Unité académique: Physiologie et Médecine Expérimentale du coeur et des muscles - PhyMedExp; Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier - LIRMM
Langue: English
Type de ressource: Conference proceeding
Champs locaux: hal-00443859