PET/MR User's Meeting: Technical challenges Feb 05, 2020 10:30 AM - 03:00 PM — Henry Wellcome Auditorium, 183 Euston Road, London
Scottish Ophthalmic Imaging Society meeting Feb 14, 2020 09:30 AM - 05:00 PM — Royal Society of Edinburgh, 22-26 George Street, Edinburgh
Scottish+ Radiotherapy Physics Meeting 2020 Feb 21, 2020 09:30 AM - 05:00 PM — Scottish Health Service Centre , Western General Hospital, Edinburgh
2nd Scottish Ultrasound Annual Scientific Meeting Feb 28, 2020 10:00 AM - 05:00 PM — Collins Building, University of Strathclyde
Technology Innovations for Healthcare Mar 12, 2020 09:00 AM - 05:00 PM — Royal College of Physicians, Edinburgh

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