Advanced User Clause Samples

Advanced User. This group of users wants full control over their work environment. They may wish to construct new tools or adapt existing ones for other purposes. It is likely that such users have a high degree of experience and probably a good understanding of computing techniques. The flexibility to do what they want is paramount to this group of users and they do not wish to be constrained in their work by the system. They may also perform tasks that are covered by the Basic and Intermediate user roles from time to time. Example Profile: Researchers at VUmc performed volume changes over time for the brain and the hippocampi of MCI patients. For this reason the hippocampi where manually outlined at baseline. The mask for the hippocampi was converted into Analyze to combine them with the original images. For the brain volume change and the change in hippocampi volume the brains on follow up were registered to BL. The Fluid algorithm of the dementia research group of London (DRG) was separated from its surrounding GUI and executed on the hippocampi and the whole brain. This resulted in a relational comparison between the brain volume change, the hippocampi volume change and the MMSE values of the used data. To perform this analysis a number of scripts were used. Some existing programs of other research centre were slightly modified and used in a fashion that better matched the used data. The developers of new research pipelines need to integrate them within the system in order to provide facilities to researchers. These are very technical users and share many similarities with the Advanced User. Given the cutting-edge nature of their work, it is likely that they may go beyond this profile and may require access to development and debugging tools. They will also require a good degree of flexibility from the system. Example Profile: Alex is a researcher with a long track record in the development and validation of image processing algorithms and pipelines for the quantitative analysis of brain MRI. Typically the development of novel algorithms relies on rapid prototyping and testing cycles, in which algorithm or parameter changes are implemented, executed, and their results observed. This requires relatively low-level, “hands-on” access to the system, with the ability to rapidly modify modules in a pipeline and/or modify the pipeline itself, and execute immediate tests. For thorough testing and validation though, an algorithm or pipeline may need to be run on tens or hundr...