The Cleveland Clinic Foundation

Po-Hao Chen

David W Piraino

Paul Schoenhagen

Nancy Obuchowski

Systems and methods are provided for automated identification of acute aortic syndromes in computed tomography images. A region of interest in a chest of a patient is imaged via a computed tomography (CT) scanner to provide images at a plurality of locations. The region of interest includes one of an ascending aorta, an aortic arch, and a descending aorta of the patient. For each of the plurality of locations within the region of interest, a value representing a variation in radiodensity values within the location is determined from the image to provide a set of variation values. A parameter representing a likelihood that the patient is experiencing an acute aortic syndrome is determined via a derived model from the set of variation values. The parameter representing the likelihood that the patient is experiencing the acute aortic syndrome is provided to a user at an associated output device.

Growing community of inventors

Cleveland, OH, United States of America

Po-Hao Chen