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

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,...

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Bibliographic Details
Published in2015 International Workshop on Pattern Recognition in NeuroImaging pp. 57 - 60
Main Authors Frau-Pascual, Aina, Forbes, Florence, Ciuciu, Philippe
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.06.2015
Subjects
ASL
Estimation
fMRI
Hemodynamics
Hidden Markov models
HRF
JDE
Magnetic resonance imaging
Physiology
Shape
Signal to noise ratio
VEM
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DOI10.1109/PRNI.2015.12

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Summary: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.
DOI:10.1109/PRNI.2015.12