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

Olivier Strauss (1) , Abdelkabir Lahrech (2) , Agnès Rico (3) , Denis Mariano-Goulart (4) , Benoit Telle (2)

1 ICAR - Image & Interaction
2 LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
3 LIRIS - Laboratoire d'InfoRmatique en Image et Systèmes d'information
4 CHU - Hôpital Lapeyronie [Montpellier]

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.

Mots clés: Emission tomography; error quantification; inverse problem; non additive measure; Emission tomography

Domaines: Statistiques [math.ST]; Traitement du signal et de l'image [eess.SP]; Traitement du signal et de l'image [eess.SP]

Olivier Strauss, Abdelkabir Lahrech, Agnès Rico, Denis Mariano-Goulart, Benoit Telle. NIBART: A New Interval Based Algebraic Reconstruction Technique for Error Quantification of Emission Tomography Images. MICCAI 2009 - 12th International Conference on Medical Image Computing and Computer-Assisted Intervention, Sep 2009, London, United Kingdom. pp.148-155, ⟨10.1007/978-3-642-04268-3_19⟩. ⟨hal-00443859⟩