Researchers at the University of Chicago are developing computer-aided diagnosis (CADx) and quantitative image analysis (QIA) methods for mammograms, ultrasounds and magnetic resonance images (MRIs) to identify specific tumor characteristics, including size, shape and sharpness, said lead researcher Maryellen Giger, A.N. Pritzker Professor of Radiology/Medical Physics and director of the Imaging Research Institute at the University of Chicago.
Currently, computer-aided detection provides a “second opinion” to a radiologist in locating suspicious regions within mammograms. Next, radiologists will ultimately be able to use computer-extracted lesion characteristics when performing a diagnosis to assess whether the tumor is cancerous.
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