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Research Seeks to Refine Data Transmission for Medical Diagnoses


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3-D deformable model

Xiaohu Guo is developing techniques to transmit images such as this 3-D deformable model over the Internet in real time to help medical professionals work together on diagnoses.

Credit: University of Texas at Dallas

University of Texas at Dallas professor Xiaohu Guo is researching the theoretical foundations of a type of spectral transformations for 3-D models and is developing techniques to enable more efficient transmission of 3-D and 4-D models via the Internet. Guo recently received a $448,000 U.S. National Science Foundation award to support his research.

Guo says he has successfully transformed large amounts of scanned data using spectral transformation techniques, which rely on manifold harmonics to transform the model into frequencies and compress the data into a smaller form that can be sent faster over networks. "We have done preliminary experiments using manifold harmonics with various types of 3-D models and believe we can extend their use to general three- and 4-D deformable models," Guo says.

Although his research is geared toward telesurgery and telediagnosis, Guo says the techniques could be applied to clinical education and ranch monitoring. For example, he says the images could automatically capture cattle physiology and sizes via 3-D laser scanners mounted on robotic helicopters.

From University of Texas at Dallas
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Abstracts Copyright © 2012 Information Inc., Bethesda, Maryland, USA


 

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