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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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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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.
AbstractList 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.
Author Ciuciu, Philippe
Frau-Pascual, Aina
Forbes, Florence
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  surname: Ciuciu
  fullname: Ciuciu, Philippe
  organization: CEA/DSV/IBM NeuroSpin center, Gif-sur-Yvette, France
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Snippet Functional Arterial Spin Labeling (fASL) MRI can provide a quantitative measurement of cerebral blood flow. A joint detection-estimation (JDE) framework has...
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StartPage 57
SubjectTerms ASL
Estimation
fMRI
Hemodynamics
Hidden Markov models
HRF
JDE
Magnetic resonance imaging
Physiology
Shape
Signal to noise ratio
VEM
Title Variational Physiologically Informed Solution to Hemodynamic and Perfusion Response Estimation from ASL fMRI Data
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