Advanced 3-D Facial Imaging May Aid in Early Detection of Autism
Screening could lead to further genetic analysis and advancements in the study and treatment of the disorders
Expanding upon previous studies, Duan, working with Judith Miles and other team members, used a system of cameras to photograph and generate three-dimensional images of children’s faces. Credit: Shelby Kardell
Download photo from the MU News Bureau
Story posted: Jan. 14, 2015
By: Jeff Sossamon
COLUMBIA, Mo. – Autism is a spectrum of closely related disorders diagnosed in patients who exhibit a shared core of symptoms, including delays in learning to communicate and interact socially. Early detection of autism in children is the key for treatments to be most effective and produce the best outcomes. Using advanced three-dimensional imaging and statistical analysis techniques, researchers at the University of Missouri have identified facial measurements in children with autism that may lead to a screening tool for young children and provide clues to its genetic causes.
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