Computational Science and Engineering (CSE) Seminars

Computational Science and Engineering (CSE) Seminars

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Event Detail Information

SpeakerProf. James Duncan, Yale University
Date Apr 25, 2013
Time 8:30 am  
Location 1122 NCSA
Cost Part of the CSE Annual Meeting
Sponsor Computational Science and Engineering
Contact Jodi Gritten
Phone 333-3247
Registration Registration
Event type Other
Views 1300

The development of methods to accurately and reproducibly recover useful quantitative information from biomedical images is often hampered by uncertainties in handling the data related to: image acquisition parameters, the variability of normal biological, anatomical and physiological structure and function, the presence of disease or other abnormal conditions, and a variety of other factors. This talk will review image analysis strategies that make use of models based on geometrical and physical/biomechanical information to help constrain the range of  possible solutions in the presence of such uncertainty. The discussion will be focused by looking primarily at several problem areas in the realms of neuroanatomical structure analysis, cardiac function analysis, and work in cellular image analysis, with an emphasis on image segmentation and motion/deformation tracking.  The presentation will include a description of the problem areas and visual examples of the image datasets being used, an overview of the mathematical techniques involved and a presentation of results obtained when analyzing actual patient image data using these methods. Emphasis will be placed on how image-derived information and appropriate modeling can be used together to address key challenges in the years ahead related to the development of integrated reasoning at and across imaging scales and imaging modalities, possibly incorporating non-image-based information.

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