FRONT-END for neuroimage studies in humans bachelor in biomedical engineering.

The Biomedical Imaging and Instrumentation Group (BIIG) of the University Carlos III de Madrid is a multidisciplinary team involved in research projects within different fields.
The lines of investigation in neuroimaging, which is one of their main focuses, draw into functional magnetic resonance imaging (fMRI), processing and analysis. The BIIG has developed specific and dedicated tools such as a pipeline orworkflow 1 that enables the performance of a wide variety of neuroimaging processing methods.
Processing is crucial for the obtainment of interpretable and measurable results from raw data. Thus the aforementioned pipeline has become a valuable tool for  the BIIG.

Researchers from the BIIG implemented the pipeline in Matlab and use it through a configuration file composed of multiple command lines. Each application of the pipeline implies its own configuration file.
In general, one neuroimaging study requires the implementation of severalpipelines and therefore the creation of several configuration files. The development of multiple pipelines for the same study is an interesting approach in terms of study’s robustness: either the application of different methods or the modification of the order of application of these methods may affect the results of fMRI analysis.

Prior to this Project, configuration files were coded line by line in a text editor using Matlab language. Therefore, the implementation was a difficult and timeconsuming task that required programming skills.
The motivation for this Bachelor Thesis is the reduction of the complexity of thiscoding process and the reduction of the time and effort required for configuration files deployment.