A Networked Framework for Visualization and Analysis of Volumetric Datasets

Thursday, January 12, 2006 - 2:30pm - 3:15pm
EE/CS 3-180
Art Wetzel (Pittsburgh Supercomputing Center)
Work in collaboration with the PSC-VB team and the Duke Center for In
Vivo Microscopy (CIVM) with support from the National Library of Medicine.

Volumetric datasets (CT, MRI, EM, etc.) on the gigabyte scale are relatively
common in the basic and clinic al Life Sciences, and datasets on the terabyte
scale will become increasingly common in the near future. At these scales
visualization and analysis using typical users desktop systems is difficult.
We have been developing a client-server system, the PSC Volume Browser
(PSC-VB), that links the graphics power of user's PCs with remote high
performance servers and supercomputing resources to enable the routine sharing,
visualization, and anaylsis of of large volumetric and time series datasets.
PSC-VB provides the framework for efficient data transfer and data manipulation
using both client and server side processing. The system is designed to link
extensible toolsets for data analysis including the National Library of
Medicine Insight Segmentation and Registration Toolkit (ITK) and user
provided processing modules.

We are currently using PSC-VB for analysis of mouse cardiac function
using time series micro-CT volumes and mouse embryo development micro-MRI
volumes captured at the Duke CIVM. This talk will provide an overview of
the PSC-VB system and its specific application to the CIVM time series
data analysis as well as preliminary efforts to build very large data
volumes from serial section electron microscopy images. Although our
current applications involve biological data the general framework is
applicable to other data modalities and has been used to view, for example,
earthquake ground motions and electro magnetic fields.
MSC Code: