Variational Physiologically Informed Solution to Hemodynamic and Perfusion Response Estimation from ASL fMRI Data

Aina Frau-Pascual; Florence Forbes; Philippe Ciuciu

doi:10.1109/PRNI.2015.12

Variational Physiologically Informed Solution to Hemodynamic and Perfusion Response Estimation from ASL fMRI Data

Aina Frau-Pascual ^{1, 2} Florence Forbes ¹ Philippe Ciuciu ^{3, 2}

1 MISTIS - Modelling and Inference of Complex and Structured Stochastic Systems

Inria Grenoble - Rhône-Alpes, LJK - Laboratoire Jean Kuntzmann, INPG - Institut National Polytechnique de Grenoble

2 PARIETAL - Modelling brain structure, function and variability based on high-field MRI data

NEUROSPIN - Service NEUROSPIN, Inria Saclay - Ile de France

3 CEA - Commissariat à l'énergie atomique et aux énergies alternatives

Abstract : Functional Arterial Spin Labeling (fASL) MRI can provide a quantitative measurement of cerebral blood flow. A joint detection-estimation (JDE) framework has been considered to extract task-related perfusion and hemodynamic responses not restricted to canonical response function shapes. In this work, we provide a variational expectation-maximization (VEM) algorithm for hemodynamic and perfusion responses estimation. This approach provides a lower computational load compared to previous attempts, and facilitates the incorporation of prior knowledge and constraints in the estimation. Validation on simulated and real data sets has been performed.

Type de document :

Communication dans un congrès

2015 International Workshop on Pattern Recognition in NeuroImaging, Jun 2015, Stanford, CA, United States. IEEE, pp.57-60, 2015, 2015 International Workshop on Pattern Recognition in NeuroImaging, Stanford, CA, USA, June 10-12, 2015. 〈10.1109/PRNI.2015.12〉

Domaine :

Mathématiques [math] / Statistiques [math.ST]

Sciences du Vivant [q-bio] / Ingénierie biomédicale / Imagerie

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https://hal.archives-ouvertes.fr/hal-01249015
Contributeur : Aina Frau-Pascual <>
Soumis le : jeudi 7 janvier 2016 - 14:15:52
Dernière modification le : jeudi 14 mars 2019 - 07:54:04
Document(s) archivé(s) le : vendredi 8 avril 2016 - 13:03:10

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