Creating SPM multiple conditions files from E-Prime edat-files using Matlab

EPrime to SPM multiple conditions file This page describes a small matlab script that can be used to convert E-Prime edat-files to SPM multiple conditions files. Collecting onset times and durations from experimental or behavioral data can be a tedious task and is error-prone when done manually or semi-automatically (e.g. using Excel).

Read more...

SPM8 batch wrapper

SPM wrapper batch iconspmwrapperlib is a small Matlab toolbox which assists in running multi-subject or multi-session batches using SPM8. Main functionality of the toolbox is to use batch templates that are created by the SPM batch editor and execute those templates on a structured dataset. A flexible mechanism is used to define parameters and directory structures (using user-defined symbols). Symbols sets are used to provide a mechanism to iterate over subjects, sessions and parameters. Note that the toolbox is not specific for running SPM-jobs, but can act as general purpose job-iterator with other scripts as well.

Read more...

Pseudonymisation of DICOM files

DCM2NN-GUI icondcm2nn-gui is a file-conversion tool for removing sensitive information from DICOM files. Good Clinical Practice (GCP) protocols require anonymisation (also de-identification or pseudonymisation) of data used in scientific research. However, most applications that support anonymisation of DICOM files offer limited functionality (i.e. only remove a limited number of predefined tags), are user unfriendly (i.e. require elaborate manual editing) or are expensive (i.e. part of a PACS). dcm2nn-gui was developed to fix all of these drawbacks and provides a flexible and efficient tool for researchers.

Read more...

A DICOM file rename utility: dcmmv

dcmmv is a command line utility for renaming DICOM files according to their DICOM attribute values. This makes it possible to rename files that have unrecognizable filenames (like DICOM data exchange DVDs). dcmmv also supports moving files to a new folder structure, so it's easy to rearrange complete filesets by using for example study, series and patient attributes.

Read more...