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Proceedings Paper

A Volume of Interest (VOI) Atlas for the Analysis of Neurophysiological Image Data
Author(s): S. Marrett; A. C. Evans; L. Collins; T. M. Peters
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Paper Abstract

Accurate and precise neuroanatomical descriptions are essential for the meaningful quantification of Positron Emission Tomographic (PET) images of the human brain. This task is difficult since the radio-tracer distribution imaged by PET does not neccessarily reflect structure. A two-dimensional brain atlas that features the use of a deformable Region-of-Interest (ROI) template has previously been shown to be an effective method for integrating anatomical (Magnetic Resonance Imaging - MRI) images and physiological (PET) data, with an observed reduction in the coefficient of variation amongst observers from 8.1% to 3.4% 1. This method has been adopted for routine MRI image correlation and PET image analysis at our centre. The atlas is most effective when used in studies in which PET and MRI images are acquired in planes parallel to those of the original brain atlas. To allow arbitrary image/atlas orientation, we have implemented a Volume of Interest (VOI) atlas that extends the ROI methodology to three dimensions. The major advantage is that, given adequate axial sampling, arbitrary orientations of PET and MRI scans can be matched to the VOI atlas with no loss in structural recovery. In addition, the VOI atlas can be employed in the quantification of metabolic parameters directly from volumetric PET studies rather than performing the analysis on a slice by slice basis.

Paper Details

Date Published: 25 May 1989
PDF: 13 pages
Proc. SPIE 1092, Medical Imaging III: Image Processing, (25 May 1989); doi: 10.1117/12.953288
Show Author Affiliations
S. Marrett, McGill University (Canada)
A. C. Evans, McGill University (Canada)
L. Collins, McGill University (Canada)
T. M. Peters, McGill University (Canada)

Published in SPIE Proceedings Vol. 1092:
Medical Imaging III: Image Processing
Samuel J. Dwyer; R. Gilbert Jost; Roger H. Schneider, Editor(s)

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