Quantification of neurotransmission defects in functional imaging using information fusion: a prospective study Emmanuelle FRENOUX - Université Clermont Auvergne Access content directly
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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.
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Dates and versions

hal-01622952 , version 1 (24-10-2017)

Identifiers

  • HAL Id : hal-01622952 , version 1

Cite

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⟩
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