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Non-Gaussian Statistical Appearance Models. Application to the Creation of a Probabilistic Atlas of Brain Perfusion in Medical Imaging

Abstract : Single Photon Emission Computer Tomography (SPECT) is a 3D functional imaging technique that yields information about the blood flow in the brain (also called brain perfusion). This imaging technique has found application in the diagnostics of head trauma, dementia, epilepsy and other brain pathologies. To this end, SPECT images are analyzed in order to find abnormal blood flow patterns. For localized abnormalities such as stroke, this characterization remains an accessible task, whereas for diffuse and variable abnormalities such as beginning dementia, near-drowning episodes and toxic substance exposure, characterization is difficult. It is therefore necessary to develop quantitative methods in which computer-aided statistical analysis can take advantage of information present in a database of normal subjects. This work deals with the construction and evaluation of a probabilistic atlas of brain perfusion in normal subjects as observed in SPECT images. The goals of such an atlas are twofold: (1) to describe perfusion patterns of the population represented by the atlas in a compact manner, and (2) to identify statistically significant differences between an individual brain perfusion pattern and the probabilistic atlas. The successful creation of a computerized, probabilistic atlas may have far-reaching impact on clinical applications where qualitative (visual) analysis of SPECT images is current practice. Three issues have been central in this work: the statistical models that actually describe brain perfusion, the image processing tools used to make brains "comparable" and the experimental evaluation of the atlas.
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https://tel.archives-ouvertes.fr/tel-00008583
Contributor : Torbjorn Vik <>
Submitted on : Saturday, February 26, 2005 - 4:24:30 PM
Last modification on : Thursday, April 23, 2020 - 2:26:30 PM
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Torbjorn Vik. Non-Gaussian Statistical Appearance Models. Application to the Creation of a Probabilistic Atlas of Brain Perfusion in Medical Imaging. Human-Computer Interaction [cs.HC]. Université Louis Pasteur - Strasbourg I, 2004. English. ⟨tel-00008583⟩

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