Visualization

People

Principal Investigator: Michael Halle, Ph.D.

Co-investigator: William Lorensen, M.Sc.

Additional Investigators:
Jeanette Meng, Ph.D.
Lauren O'Donnell, M.Sc.
Steve Pieper, Ph.D.
Nicole Aucoin, M.Sc.
Hooni Ji, M.D.
Mathew Barish, M.D.
Steve Haker, Ph.D.

Research

Visualization is the process of transforming raw data into a format that can be readily observed and understood by a human observer. Medical visualization within a resource environment serves two major purposes. First, it provides a service to the other co res and collaborators of the resource by helping them better interpret and interact with their data. Second, it is a research topic in its elf, developing new algorithms, techniques, and mechanisms to convert information from raw data to an understandable form.

Our main hypothesis is that improved editing techniques, high-level visualization tools, and new data mapping and simplification methods can reduce the visual complexity of multi-dimensional, multimodality medical data. More specifically, new visual editing tools can enhance the process of expertdriven, semi-automatic segmentation and model editing by combining the traditionally disparate elements of user interaction, segmentation, and model building. High-level interfaces can simplify the process of producing meaningful and lucid visualizations of data. Finally, by flattening and mapping complex surfaces onto simpler shapes, we can navigate more efficiently through complex data, as well as isolate and express otherwise obscured characteristics of it.

More information

More in-depth examples of Visualization.

Relevant Publications