Paper
20 February 2009 Application of a multicompartment dynamical model to multimodal optical imaging for investigating individual cerebrovascular properties
Michèle Desjardins, Louis Gagnon, Claudine Gauthier, Rick D. Hoge, Mathieu Dehaes, Laurence Desjardins-Crépeau, Louis Bherer, Frédéric Lesage
Author Affiliations +
Proceedings Volume 7171, Multimodal Biomedical Imaging IV; 717109 (2009) https://doi.org/10.1117/12.808317
Event: SPIE BiOS, 2009, San Jose, California, United States
Abstract
Biophysical models of hemodynamics provide a tool for quantitative multimodal brain imaging by allowing a deeper understanding of the interplay between neural activity and blood oxygenation, volume and flow responses to stimuli. Multicompartment dynamical models that describe the dynamics and interactions of the vascular and metabolic components of evoked hemodynamic responses have been developed in the literature. In this work, multimodal data using near-infrared spectroscopy (NIRS) and diffuse correlation flowmetry (DCF) is used to estimate total baseline hemoglobin concentration (HBT0) in 7 adult subjects. A validation of the model estimate and investigation of the partial volume effect is done by comparing with time-resolved spectroscopy (TRS) measures of absolute HBT0. Simultaneous NIRS and DCF measurements during hypercapnia are then performed, but are found to be hardly reproducible. The results raise questions about the feasibility of an all-optical model-based estimation of individual vascular properties.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Michèle Desjardins, Louis Gagnon, Claudine Gauthier, Rick D. Hoge, Mathieu Dehaes, Laurence Desjardins-Crépeau, Louis Bherer, and Frédéric Lesage "Application of a multicompartment dynamical model to multimodal optical imaging for investigating individual cerebrovascular properties", Proc. SPIE 7171, Multimodal Biomedical Imaging IV, 717109 (20 February 2009); https://doi.org/10.1117/12.808317
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KEYWORDS
Data modeling

Oxygen

Hemodynamics

Blood

Resistance

Near infrared spectroscopy

Brain

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