Quantification of neurotransmission defects in functional imaging using information fusion: a prospective study Emmanuelle FRENOUX

Abstract : We propose here a prospective study for the automatic quantification of neurotransmission defects using information fusion. The process uses two registered clinical acquisitions of a same patient: a SPECT (Single Photon Emission Computed Tomography) acquisition providing functional information and a MR (Magnetic Resonance) image as anatomical reference. The first step of the quantification process is a data fusion algorithm for brain structures location in MR images. The segmented structures will be used as a mask to compute quantification indexes in the SPECT image. The segmentation step has already been validated. We now plan to assess the reliability of the whole process in studies concerning a wide range of pathologies.
Type de document :
Communication dans un congrès
9th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2002, Annecy, France. pp.1595-1596
Liste complète des métadonnées

https://hal-clermont-univ.archives-ouvertes.fr/hal-01622952
Contributeur : Vincent Barra <>
Soumis le : mardi 24 octobre 2017 - 19:13:48
Dernière modification le : jeudi 11 janvier 2018 - 06:28:14

Identifiants

  • HAL Id : hal-01622952, version 1

Citation

Vincent Barra, Jean-Yves Boire. Quantification of neurotransmission defects in functional imaging using information fusion: a prospective study Emmanuelle FRENOUX. 9th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2002, Annecy, France. pp.1595-1596. 〈hal-01622952〉

Partager

Métriques

Consultations de la notice

27