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New modeling approach transforms imaging technologies
Date:2/5/2013

universities and research labs around the world," Bouman said. "Ultimately, 3-D X-ray CT images might require little more dosage than old-fashion planar chest X-rays. This would allow CT to be used for medical screening without significant adverse effects."

In the electron microscope research, MBIR was used to take images of tiny beads called aluminum nanoparticles.

"We are getting reconstruction quality that's dramatically better than was possible before, and we think we can improve it even further," Bouman said.

Improved resolution could help researchers design the next generation of nanocomposites for applications such as fuel cells and transparent coatings.

The paper was authored by Purdue doctoral student Singanallur Venkatakrishnan; U.S. Air Force Research Laboratory researchers Lawrence Drummy and Jeff Simmons; Michael Jackson, a researcher from BlueQuartz Software; Carnegie Mellon University researcher Marc De Graef; and Bouman. A tutorial article also appeared in January in the journal Current Radiological Reports.

The models and algorithms in MBIR apply probability computations to extract the correct information, much as people use logical assumptions to draw conclusions.

"You search all possible data to find what you are looking for," Bouman said. "This is how people solve problems. You saw Bob yesterday at the store; you wonder where he was coming from. Well, you determine that he was probably coming from work because you have some probabilistic models in your mind. You know he probably wasn't coming from San Francisco because Bob doesn't go to San Francisco very often, etc."

MBIR also could bring more affordable CT scanners for airport screening. In conventional scanners, an X-ray source rotates at high speed around a chamber, capturing cross section images of luggage placed inside the c
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Contact: Emil Venere
venere@purdue.edu
765-494-4709
Purdue University
Source:Eurekalert  

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