[Colloquium] Seminar Announcement: Computation of Imaging-Based Science - TODAY!

[Ninfa Mayorga]

Computation Institute: Computation of Imaging-Based Science

Speaker: Callum F. Ross (Organismal Biology and Anatomy), and Lorenzo L. Pesce (Radiology and Computation Institute)
Host: Gordon L. Kindlmann 

Date: November 23, 2011
Time: 2:30 PM - 5:30 PM
Location: University of Chicago, Searle 240A, 5735 S. Ellis Avenue

Computation of Imaging-Based Science

All visitors are welcome to join the next meeting of the Computation of Imaging-Based Science seminar, with two speakers at 2:30 and 4:15. Those not able to attend in person are welcome to watch and listen in via Adobe Connect, at http://anl.adobeconnect.com/cibs/

This week we will learn about how computational analysis of images can answer questions about the mechanics of alligator jaws, and we will learn about a supercomputer working now on a range of biological applications.

2:30: Callum F. Ross (Organismal Biology and Anatomy) Accurate and precise measurements of animal behavior and morphology are crucial for studying the factors driving the evolution of animal musculoskeletal systems. My lab uses CT scans to build finite element models of vertebrate skulls to test hypotheses regarding stress and strain patterns. However, progress is hampered by our inability to develop large numbers of models in order to assess the implications of morphological variation, the stuff of natural selection. My lab also uses videofluoroscopy to study jaw and tongue movements, but these are only 2-D. We are planning on acquiring a 3-D videofluoroscopy system (www.xromm.org) to make it possible to measure movement of internal organs and small animals in 3-D, but the workflow of this system is limited by the time needed to track markers in the images, and link these movements up to CT scans of the animals. These image processing bottlenecks need to be opened up for sig nificiant progress to be made in these research endeavors.

4:15: Lorenzo L. Pesce (Radiology and Computation Institute) Common imaging activities such as reconstructing, rendering and processing are being applied to more and larger images. This trend renders necessary for most image researchers to get familiar, at least to a degree, with high performance computing. We choose to introduce this topic concretely by talking about Beagle, a 17,856 compute-core massively parallel Cray XE6 supercomputer, which was acquired in early 2011 to satisfy the growing computation needs of the University of Chicago research community. It is a joint project between the Computation Institute and 12 research groups linked to biological research.

Further information about these and future speakers is available here:
http://www.ci.uchicago.edu/wiki/bin/view/CIBS


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