Posted on the MakerBot blog, December 7th, 2017
Dr. Darin T. Okuda, a neuroimmunologist at University of Texas Southwestern Medical Center, just developed a method that can accurately identify multiple sclerosis lesions in the brain.
“Prior to the release of our work, we were describing multiple sclerosis lesions incorrectly,” Okuda told TechCrunch.
Previously, MS lesions identified by magnetic resonance imaging (MRI) were defined by a set of vague, and sometimes inaccurate characteristics including size thresholds and shape descriptions. Okuda and colleagues used MakerBot 3D printers to replicate over a thousand brain lesions, evaluated their shapes and surface features, then refined his method until the 3D models of isolated lesions he selected actually resembled the real thing. His work represents the first scientific effort to study brain lesions resulting from MS and other causes in actual 3D form.