Algorithms
 The goal of this inter-disciplinary, multi-institutional center is to create, develop, integrate and deploy
computation tools for the analysis and visualization of medical image data.
This analysis will:
- Occur at a range of scales, starting at the scale of organs, but probably
ranging down to the scale of cells;
- Occur across a range of modalities, starting with structural, functional and
diffusion MRI, quantitative EEG, and metabolic and receptor PET, but
potentially extending to include microscopic, genomic and other image data;
- Apply to image data from individual patients, and to studies executed across
large populations;
- Apply to image data of subjects taken across a wide range
of time scales; and
- Apply to a broad range of diseases, in a broad range of organs.
To focus the technical development of these tools, as well as to address critical health care issues,
the initial driving biological projects (DBPs) for the development and deployment of these
computational methods will come from the study of schizophrenia, as detailed in Core 3. However,
these tools will be designed to apply, with minimal amplification or modification, to other critical
medical needs. For example, multiple sclerosis, Alzheimer’s disease, epilepsy, prenatal alcohol
syndrome, and image-guided surgical applications are all examples of existing collaborations that
could serve as next-stage targets. Moreover, we expect to develop other potential collaborations in
other diseases, including diseases in organs other than the brain, as our center evolves. |
