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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

Shape analysis of I-123-N-omega-fluoropropyl-2-beta-carbomethoxy-3 beta-(4-iodophenyl) nortropane single-photon emission computed tomography images in the assessment of patients with parkinsonian syndromes

Author(s): R. T. Staff, T. S. Ahearn, K. Wilson, C. E. Counsell, K. Taylor, R. Caslake, J. E. Davidson, H. G. Gemmell, A. D. Murray

Purpose The purpose of this study was to show the viability and performance of a shape-based pattern recognition technique applied to I-123-N-omega-fluoropropyl-2-beta-carbomethoxy-3 beta-(4-iodophenyl) nortropane single-photon emission computed tomography (FP-CIT SPECT) in patients with parkinsonism. Methods A fully automated pattern recognition tool, based on the shape of FP-CIT SPECT images, was written using Java. Its performance was evaluated and compared with QuantiSPECT, a region-of-interest-based quantitation tool, and observer performance using receiver operating characteristic analysis and kappa statistics. The techniques were compared using a sample of patients and controls recruited from a prospective community-based study of first presentation of parkinsonian symptoms with longitudinal follow up (median 3 years). Results The shape-based technique as well as the conventional semiquantitative approach was performed by experienced observers. The technique had a high level of automation, thereby avoiding observer/operator variability. Conclusion A pattern recognition approach is a viable alternative to traditional methods of analysis in FP-CIT SPECT and has additional advantages. Nucl Med Commun 30:194-201 (C) 2009 Wolters Kluwer Health Lippincott Williams & Wilkins.

Full version: Available here

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ISBN: 0143-3636
Publication Year: 2009
Periodical: Nuclear Medicine Communications
Periodical Number: 3
Volume: 30
Pages: 194-201
Author Address: