Bringing Open Source to the Clinical Side of Radiology

Open source software tools have made a big impact in the medical research world, but are not yet prevalent in the clinical practice world, says Daniel Barboriak, associate professor in the division of neuroradiology at Duke University Medical Center in Durham, N.C.


Open source software tools have made a big impact in the medical research world, but are not yet prevalent in the clinical practice world, says Daniel Barboriak, associate professor in the division of neuroradiology at Duke University Medical Center in Durham, N.C.

Barboriak will tackle the need for more open source use among radiologists during an educational session at RNSA 2011, being held Nov. 27 to Dec. 2 in Chicago.

Libraries of software code made in an open source environment are finding their way into commercial software. But clinicians often don't know about the tools, such as filters that can find the edges of structures and make images line up.

Attendees of the session will have a chance to download an open source application called ImageJ and use it, and start getting an idea of what they can do with image processing, Barboriak says. "Image processing is becoming a more important part of our clinical practice and it behooves radiologists to become more familiar with the steps to go from images to answers."

Course No. ICIA33, "ImageJ: Open Source Imaging Solutions for Radiology," is scheduled on Nov. 29 at 2:30 p.m. in Room S401CD. More information is available at rsna.org.

 

More for you

Loading data for hdm_tax_topic #better-outcomes...