Data Sciences and Brain Health across the Life Course session in 2020 SICSA Conference Oct 01, 2020 01:15 PM - 03:15 PM — Virtual Meeting (online)
Ophthalmic Medical Image Analysis MICCAI 2020 Workshop Oct 08, 2020 12:00 AM — Virtual Meeting (online)
Predictive Intelligence in Medicine MICCAI 2020 Workshop Oct 08, 2020 12:00 AM — Virtual Meeting (online)
PET is Wonderful Annual Meeting 2020 Oct 27, 2020 02:00 PM - 05:40 PM — Virtual Meeting (online)

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

SINAPSE Software

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SINAPSE Software

DICOM Confidential

DICOM Confidential is an open source DICOM (Digital Imaging and Communications in Medicine) de-identification toolkit that provides the necessary flexibility to account for different de-identification requirements and does not impose a given anonymisation model. It also provides a mechanism for forwarding the anonymous output to a remote site using either SFTP (SSH File Transfer Protocol) or DICOM communications protocol. The core functionality is contained in a Java library, which we have used to develop two DICOM anonymisation applications; these are included in the toolkit: one for DICOM files contained in a folder and one for objects received via the DICOM protocol (a receiver). A separate graphical application is provided to help users in policy writing and configuration.

Origin: University of Edinburgh

Usage: Free, Open Source, Cross-platform

Tags:

  • DICOM, Privacy protection

Posted by Dr. David Rodriguez

 

MCMxxxVI (1936) tool

This software is a tool that implements the Multispectral Colouring Modulation and Variance Identification method developed in the Brain Research Imaging Centre (BRIC) to segment tissues and lesions in MR images and incorporates some post-processing tools for displaying and calculating the statistics of the features segmented. For portability between Linux and Windows Operating Systems (OS), a MATLAB based set of Graphic Unit Interfaces (GUIs) has been developed. The version released is for Windows OS. The modules of this package, though independent, are designed to be compatible and interact with each other and with other software (i.e AnalyzeTM and FSL tools http://www.fmrib.ox.ac.uk/fsl/fsl/list.html) that also process medical images. A standalone version written in C++ that uses the VTK libraries, has been developed as well.

Origin: Brain Research Imaging Centre, Edinburgh

Usage: Free, Open Source, Windows

Tags:

  • Lesion and tissue segmentation

Posted by Dr Maria Valdés Hernández

 

LIMO EEG

LIMO EEG is a Matlab toolbox (EEGLAB compatible) to analyse evoked responses over all space and time dimensions, while accounting for single trial variability using hierarchical linear modelling of the data. In addition, LIMO EEG provides robust parametric tests, therefore providing a new and complementary tool in the analysis of neural evoked responses. See Article

Origin: BRIC Edinburgh

Usage: Free, Open Source, Cross-platform

Tags:

  • LIMO EEG, MEEG, Statistics

Posted by Dr Cyril Pernet