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Proceedings Paper

MRI volumetry of prefrontal cortex
Author(s): Yvette I. Sheline; Kevin J. Black; Daniel Y. Lin; Joseph Pimmel; Po Wang; John W. Haller; John G. Csernansky; Mokhtar Gado; Ronald K. Walkup; Barry S. Brunsden; Michael W. Vannier
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Paper Abstract

Prefrontal cortex volumetry by brain magnetic resonance (MR) is required to estimate changes postulated to occur in certain psychiatric and neurologic disorders. A semiautomated method with quantitative characterization of its performance is sought to reliably distinguish small prefrontal cortex volume changes within individuals and between groups. Stereological methods were tested by a blinded comparison of measurements applied to 3D MR scans obtained using an MPRAGE protocol. Fixed grid stereologic methods were used to estimate prefrontal cortex volumes on a graphic workstation, after the images are scaled from 16 to 8 bits using a histogram method. In addition images were resliced into coronal sections perpendicular to the bicommissural plane. Prefrontal cortex volumes were defined as all sections of the frontal lobe anterior to the anterior commissure. Ventricular volumes were excluded. Stereological measurement yielded high repeatability and precision, and was time efficient for the raters. The coefficient of error was <EQ 0.03. The overall 3-way inter- rater ICC equals 0.95; intra-rater ICCs equals 0.95 - 0.98. The use of specific internal landmarks to define prefrontal cortex boundaries on 3D images was critical to obtaining accurate measurements. MR prefrontal cortex volumetry by stereology can yield accurate and repeatable measurements. Small frontal lobe volume reductions in patients with brain disorders such as depression and schizophrenia can be efficiently assessed using this method.

Paper Details

Date Published: 12 May 1995
PDF: 5 pages
Proc. SPIE 2434, Medical Imaging 1995: Image Processing, (12 May 1995); doi: 10.1117/12.208749
Show Author Affiliations
Yvette I. Sheline, Washington Univ. School of Medicine (United States)
Kevin J. Black, Washington Univ. School of Medicine (United States)
Daniel Y. Lin, Washington Univ. School of Medicine (United States)
Joseph Pimmel, Washington Univ. School of Medicine (United States)
Po Wang, Washington Univ. School of Medicine (United States)
John W. Haller, Washington Univ. School of Medicine (United States)
John G. Csernansky, Washington Univ. School of Medicine (United States)
Mokhtar Gado, Washington Univ. School of Medicine (United States)
Ronald K. Walkup, Washington Univ. School of Medicine (United States)
Barry S. Brunsden, Washington Univ. School of Medicine (United States)
Michael W. Vannier, Washington Univ. School of Medicine (United States)


Published in SPIE Proceedings Vol. 2434:
Medical Imaging 1995: Image Processing
Murray H. Loew, Editor(s)

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