Total Body PET 2021 conference [rescheduled] Sep 22, 2021 - Sep 24, 2021 — Virtual Meeting (online)
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)


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

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

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