4th International Conference on Medical Imaging with Deep Learning Jul 07, 2021 - Jul 09, 2021 — Virtual Meeting (online)
Medical Image Understanding and Analysis Conference 2021 Jul 12, 2021 - Jul 14, 2021 — 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
Total Body PET 2021 conference [rescheduled] Sep 22, 2021 - Sep 24, 2021 — Virtual Meeting (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

Single shot partial dual echo (SPADE) EPI-an efficient acquisition scheme for reducing susceptibility artefacts in fMRI

Author(s): C. Schwarzbauer, D. A. Porter

SPADE is a new acquisition scheme for fMRI based on dual echo EPI. As In previous work. additional spin echo EPI images are used to recover signal in regions that are affected by susceptibility related sensitivity loss in gradient echo EPI However, with SPADE the additional spin echo images are only acquired for the affected slices, which reduces the acquisition time and enhances the time normalised signal-to-noise ratio. We demonstrate the feasibility of this approach and discuss potential applications of the SPADE technique in fMRI We conclude that SPADE provides an efficient acquisition scheme for fMRI applications where whole brain coverage and sensitivity is required. (C) 2009 Elsevier Inc. All rights reserved

Full version: Available here

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

ISBN: 1053-8119
Publication Year: 2010
Periodical: Neuroimage
Periodical Number: 3
Volume: 49
Pages: 2234-2237
Author Address: