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The New Jersey Institute of Technology's
Electronic Theses & Dissertations Project

Title: Brain segmentation using endogenous contrast mechanism using breath holding fMRI signal for tissue characterization
Author: Kakkad, Samata Mukesh
View Online: njit-etd2008-014
(xi, 52 pages ~ 4.6 MB pdf)
Department: Department of Biomedical Engineering
Degree: Master of Science
Program: Biomedical Engineering
Document Type: Thesis
Advisory Committee: Adamovich, Sergei (Committee co-chair)
Alvarez, Tara L. (Committee co-chair)
Biswal, Bharat (Committee member)
Date: 2008-01
Keywords: Cerebrovascular changes
fMRI
Cerebral blood flow
Cerebral blood volume
Oxygen extraction fraction
Availability: Unrestricted
Abstract:

MRL has fast become the modality of choice for the analysis of the complexity of the human brain. MRJ is a non-invasive method and gives high spatial resolution maps of the brain with soft tissue contrast. Conventional MRI technique modified to be used to image the functionality at high temporal resolution is known as fMRI. In fMRI the BOLD signal we measure is the hemodynamic response to neuronal and vascular changes at rest or in response to a stimulus where the various tissue types will have a different response.

While fMRI has been traditionally been used to detect and identify eloquent regions of the cortex corresponding to specific tasks/stimulus, a number of groups have also used tMRI to study cerebrovascular changes and its consequence on the BOLD signal. A number of different perturbation methods including breath holding, hypercapnia, inhalation of various gas mixtures, and injection of acetozolamyde has been used to study spatio-temporal changes in the fMRI signal intensity. Spatiotemporal changes corresponding to changes in cerebral blood flow (CBF), cerebral blood volume (CBV), oxygen extraction fraction (OEF), and other physiological factors are then estimated and differences between diseased regions and healthy regions are then elucidated.


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