SINAPSE Virtual Happy Hour May 19, 2021 04:30 PM - 05:30 PM — Virtual Happy Hour (online)
9th Annual Scottish Radiotherapy Research Forum Jun 03, 2021 12:30 PM - 05:00 PM — Virtual Meeting (online)
Scottish Dementia Research Consortium Annual Conference 2021 Jun 16, 2021 10:00 AM - 03:30 PM — Virtual Meeting (online)
Medical Imaging Convention [rescheduled] Sep 15, 2021 - Sep 16, 2021 — National Exhibition Centre, Birmingham, England
2021 SINAPSE ASM Sep 16, 2021 - Sep 17, 2021 — Technology & Innovation Centre, University of Strathclyde, 99 George Street, Glasgow

eLearning

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

Selecting an appropriate anisotropy index for displaying diffusion tensor imaging data with improved contrast and sensitivity

Author(s): P. A. Armitage, M. E. Bastin

Abstract:
A review of the behavior of different diffusion anisotropy indices (DAIs) to changes in diffusion anisotropy was undertaken and the limitations of several previously proposed DAIs are discussed. A mathematical representation of anisotropy sensitivity was used to enable image contrast and sensitivity to noise to be predicted. This technique was utilized to devise a new DAI, the gamma-variate anisotropy, which has a low sensitivity to noise and an improved contrast range for human brain imaging. This index can be easily modified for other applications, in that the range of anisotropy values to which it is highly sensitive can be altered. (C) 2000 Wiley-Liss, Inc.

Full version: Available here

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


ISBN: 0740-3194
Publication Year: 2000
Periodical: Magnetic Resonance in Medicine
Periodical Number: 1
Volume: 44
Pages: 117-121
Author Address: