DocumentCode :
725046
Title :
Physiological models comparison for the analysis of ASL FMRI data
Author :
Frau-Pascual, Aina ; Forbes, Florence ; Ciuciu, Philippe
Author_Institution :
INRIA, Grenoble Univ., Grenoble, France
fYear :
2015
fDate :
16-19 April 2015
Firstpage :
1348
Lastpage :
1351
Abstract :
Physiological models have been proposed to describe the processes that underlie the link between neural and hemodynamic activity in the brain. Among these, the Balloon model describes the changes in blood flow, blood volume and oxygen concentration when an hemodynamic response is ensuing neural activation. Next, an hemodynamic model links these variables to the blood-oxygen-level-dependent (BOLD) effect. Taken together, these equations allow the precise modeling of the coupling between the cerebral blood flow and hemodynamic response. However, several competing versions of the hemodynamic model and different physiological parameters values have been described in the literature. In this work, we analyse Arterial Spin Labelling (ASL) functional Magnetic Resonance Imaging (fMRI) data, which contains both perfusion and hemodynamic effects, to compare the impact of different settings in the coupling between blood flow and hemodynamic response.
Keywords :
biomedical MRI; brain; haemodynamics; haemorheology; neurophysiology; physiological models; ASL FMRI data analysis; Arterial Spin Labelling functional Magnetic Resonance Imaging data; BOLD; Balloon model; blood volume; blood-oxygen-level-dependent effect; brain; cerebral blood flow; hemodynamic activity; hemodynamic effects; hemodynamic model; hemodynamic response; neural activation; neural activity; oxygen concentration; perfusion effects; physiological models; physiological parameter; Analytical models; Blood; Brain modeling; Hemodynamics; Hidden Markov models; Mathematical model; Physiology; ASL; Balloon model; CBF; JDE; fMRI;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Imaging (ISBI), 2015 IEEE 12th International Symposium on
Conference_Location :
New York, NY
Type :
conf
DOI :
10.1109/ISBI.2015.7164125
Filename :
7164125
Link To Document :
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