Archana Venkataraman (CSAIL) is mapping neurological disease

October 4, 2012

Researchers in the Computer Science and Artificial Intelligence Laboratory at MIT have developed an algorithm that can analyze information from medical images to identify diseased areas of the brain and their connections with other regions. The MIT researchers will present the work in October at the International Conference on Medical Image Computing and Computer Assisted Intervention in Nice, France. The algorithm, developed by Polina Golland, an associate professor of computer science, and graduate student Archana Venkataraman, extracts information from two different types of magnetic resonance imaging (MRI) scans. The first, called diffusion MRI, looks at how water diffuses along the white-matter fibers in the brain, providing insight into how closely different areas are connected to one another. The second, known as functional MRI, probes how different parts of the brain activate when they perform particular tasks, and so can reveal when two areas are active at the same time and are therefore connected. Read the rest of the article on MIT newsphoto by Marek Kubicki

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