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publicado em 02/11/2011 às 13h05:00
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Researchers reduce the duration of MRI in 30 minutes

The algorithm uses the information obtained by comparing the first to help produce the images later.

EFE  
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Researchers at the electronics laboratory of Massachusetts Institute of Technology (MIT) have developed an algorithm that can reduce the duration of 30 minutes a magnetic resonance imaging, according to a study published on Tuesday.

The MRI machines are essential to detect early symptoms of cancer and other anomalies, so use strong magnetic fields and radio waves to generate images of the body.

Scanners is captured within the area of ​​a patient with a succession of images of the same body part to generate a comparison between them. By studying the variation of the contrasts according to different types of tissue, radiologists can detect subtle abnormalities, such as a tumor development.

Get several images of the same region requires much more time than a simple x-ray, so patients are inside the scanner for about 45 minutes, for some time that seems like an eternity.

This time can now be reduced thanks to an algorithm created by MIT researchers led by Elfar Adalsteinsson, a professor of Electrical Engineering and Computer Science, and Health Sciences and Technology, and Vivek Goyal, Professor of Electrical Engineering and Computer Science.

This algorithm uses the information obtained by comparing the first to help produce the images later. Thus, the reader need not start from scratch each time it produced a different picture, already possessing a basic outline to work with, which helps to significantly reduce the completion time of each subsequent survey.

The software looks for characteristics common to all analysis, as the basic anatomical structure, said Adalsteinsson, whose work will be published in the journal "Magnetic Resonance in Medicine."

"If the machine is analyzing the brain, the head does not move from one image to the next," he said. "So if the second scanner already know where the head is, it will not take so long to produce the image as when harvest data for the first time."

The algorithm uses the first analysis to predict the likely probable limits between the different types of tissue contrast in the analysis later. According to the researchers, for example, "the periphery or edges of the brain that limit the different compartments within the brain are in the same place."

However, according to Goyal, the algorithm can not impose a lot of information in the subsequent exploration of the first, because they'd lose the characteristics of the tissue revealed by comparison. Thus, the algorithm calculates for each pixel the new information you need to build the image.

The result is a magnetic resonance imaging three times faster, ensure the study's authors, who are now working to further improve the algorithm and accelerate time to process the raw image data to anticipate the time of analysis.

Source: EFE
   Palavras-chave:   MRI    Massachusetts Institute of Technology    MIT    Algorithm    Elfar Adalsteinsson    Vivek Goyal   
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