PET is Wonderful Annual Meeting 2021 Oct 26, 2021 12:00 AM — Virtual Meeting (online)
NRS Mental Health Network Annual Scientific Meeting 2021 Nov 02, 2021 09:00 AM - 05:00 PM — Royal College of Physicians, Edinburgh (and online)
SRS Autumn Meeting 2021 Nov 12, 2021 08:30 AM - 04:00 PM — Dundee


SINAPSE experts from around Scotland have developed ten online modules designed to explain medical imaging. They are freely available and are intended for non-specialists.

Edinburgh Imaging Academy at the University of Edinburgh offers the following online programmes through a virtual learning environment:

Neuroimaging for Research MSc/Dip/Cert

Imaging MSc/Dip/Cert

PET-MR Principles & Applications Cert

Applied Medical Image Analysis Cert

Online Short Courses

Parcellating the temporal lobes from magnetic resonance images using generic software in subjects at high risk of developing schizophrenia

Author(s): S. L. Yates, A. Barach, S. Gingell, H. C. Whalley, D. Job, E. C. Johnstone, J. J. Best, S. M. Lawrie

A number of reliable techniques have been described that can parcellate temporal neo-cortex from MRI images to preserve topographical characteristics of individual brains, but these tend to use in-house software. We describe here an adaptation of the methods previously described by Kim et al. [Kim, J.J., Crespo-Facorro, B., Andreasen, N.C., O'Leary, D.S., Zhang, B., Harris, G., Magnotta, V.A., 2000. An MRI-based parcellation method for the temporal lobe. Neuroimage 11, 271-288], but utilising commercially and, therefore, generally available software. Using Analyze, we traced individual sulci and identified coronal bounding planes, and used a combination of three orthogonal plane views, manual limit tracing and semi-automated edge detection to parcellate 13 sub-regions of temporal neo-cortex from sets of serial coronal slices. We applied this technique to the baseline scans of the first seven subjects in the Edinburgh High Risk Study (EHRS) who developed schizophrenia, and a matched group of healthy controls, to see if temporal lobe sub-regional volumes could predict the onset of schizophrenia. Two relatively inexperienced raters developed these techniques in a short time period, and intra-rater intra-class correlation coefficients (ICC) ranged from 0.56 to 0.99, while the mean inter-rater ICC was 0.90 (range 0.55-0.99). There were, however, no significant differences in temporal lobe sub-regional volumes between the two groups we examined. We have, therefore, developed a reliable parcellation technique that requires relatively little training. It is, however, a laborious process, and it remains uncertain whether it is more sensitive to early disease processes in pre-schizophrenia than are other image-analysis techniques.

Full version: Available here

Click the link to go to an external website with the full version of the paper

ISBN: 0165-1781 (Print) 0165-1781 (Linking)
Publication Year: 2006
Periodical: Psychiatry Res
Periodical Number: 2-3
Volume: 147
Pages: 197-212
Author Address: Division of Psychiatry, University of Edinburgh, Kennedy Tower, Royal Edinburgh Hospital, Morningside Park, Edinburgh EH10 5HF, UK.