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