Data Sciences

Data Sciences focuses on the methodological developments for the analysis of brain imagery. Specifically, this project will design and distribute new methods for robust image segmentation and registration, quality assurance and evaluation of image processing results, and processing of structural and diffusion brain data.

Data is the common thread that binds together nearly every aspect of LONIR. Collecting, processing and distributing neuroscientific data of diverse types–imaging, genetics and clinical–is at the core of the center’s mission.

Historically, the research community has struggled to maximize the potential of existing neuroscientific data due to its complexity. Without tools to understand the availability, characteristics and contents of these data, our capacity to map and comprehend the brain is greatly diminished.

The goal of TR&D1 is to remove these barriers to interpreting data by providing researchers with intuitive and interactive tools. Not only will LONIR resources assist with managing the underlying data, but they will provide powerful interfaces delivered via state-of-the-art web-based software.

The wide availability of novel analytical tools will expand the scope of the community that can easily access and utilize LONIR data. Whereas reuse of data has traditionally been rare due to the challenge of locating necessary elements, LONIR’s new technology will rapidly locate and extract relevant datasets on command.