Accessing and scripting Neuroimaging XNAT databases with PyXnat

PyXNAT: XNAT in Python

As neuroimaging databases grow in size and complexity, the time researchers spend investigating and managing the data increases to the expense of data analysis. As a result, investigators rely more and more heavily on scripting using high-level languages to automate data management and processing tasks. For this, a structured and programmatic access to the data store is necessary. Web services ...

Accessing Databases from Esterel

A current limitation in reactive systems design is the lack of database support in tools such as Esterel Studio. This report proposes a way of integrating databases and Esterel by providing an Application Programming Interface (API) for relational database use inside Esterel. As databases and Esterel programs are often executed on different machines, result sets from database queries may be pro...

Experience with SAND-Tcl: a scripting tool for spatial databases

The use of scripting makes it possible to overcome many important difficulties in the development of database applications. By extending a general-purpose scripting language with constructs derived both from the database kernel and from the intended application domain, issues such as query processing and user interfacing can be approached in an economical and flexible way. This is illustrated b...

Web based tools for visualizing imaging data and development of XNATView, a zero footprint image viewer

Advances in web technologies now allow direct visualization of imaging data sets without necessitating the download of large file sets or the installation of software. This allows centralization of file storage and facilitates image review and analysis. XNATView is a light framework recently developed in our lab to visualize DICOM images stored in The Extensible Neuroimaging Archive Toolkit (XN...

Accessing Relational Databases via XML Schema