Campuses:

Tutorial on visualization techniques appropriate for imaging data

Monday, October 24, 2005 - 11:15am - 12:15pm
Lind 409
Rachael Brady (Duke University)
The demand for advanced imaging techniques continues to grow
in many disciplines (biological, medical, seismic, radar), across many
scales (nano to astrophysical), covers different frequencies (x-ray,
optical) and dimensions. The process of imaging involves both the
mathematician, to develop the models, and the domain scientist, to
interpret and validate the models. Most scientists are very familiar
with validating their data through common visual techniques such as
plots and 2D image slices. WIth the advent of 3D and higher imaging
methods it can be useful to apply more sophisticated visualization
techniques both during development of a new model and for interpreting
the resulting data. This talk will present an overview of
visualization techniques organized by data dimensionality, data type
(scalar, vector, tensor), and task.