Computational and Visualization Tools

To extract and communicate information from the rich, multidimensional/multimodality/multiscale biomedical images we acquire from preclinical cancer models, it is necessary to harness techniques from information theory, computer graphics, statistics and visualization science. Therefore, we are developing some of the first interactive, image-based atlases of commonly used pre-clinical tumor models. These ‘cloud’ based digital atlases will be made freely available to cancer investigators worldwide, for use in their research applications. Since these atlases can be viewed using freely available software, they can also be used for educational/teaching purposes (Pathak et al. 2011). We are also developing new methods for visualizing preclinical imaging data and numerical tools for exploring the relationship between MRI contrast and the underlying biology.

 Visualization of blood vessel segments (> 20,000) in the mouse brain [ Link to paper ].

Visualization of blood vessel segments (> 20,000) in the mouse brain [Link to paper].

 Integration of micro-CT and micro-MRI data to create a neurovascular mouse brain atlas.

Integration of micro-CT and micro-MRI data to create a neurovascular mouse brain atlas.

 Biophysical modeling of susceptibility-based MR image contrast [ Link to paper ].

Biophysical modeling of susceptibility-based MR image contrast [Link to paper].