Automated segmentation and quantification of aortic calcification at abdominal CT: application of a deep learning-based algorithm to a longitudinal screening cohort.

Journal: Abdominal radiology (New York)

Published Date: Aug 1, 2019

OBJECTIVE: To investigate an automated aortic calcium segmentation and scoring tool at abdominal CT in an adult screening cohort.

Peter M Graffy

1 University of Wisconsin School of Medicine and Public Health 600 Highland Avenue, Madison, WI 53705.
Jiamin Liu
Stacy O'Connor

Department of Radiology, Medical College of Wisconsin, Milwaukee, WI, USA.
Ronald M Summers

National Institutes of Health, Clinical Center, Radiology and Imaging Sciences, 10 Center Drive, Bethesda, MD 20892, USA.
Perry J Pickhardt

University of Wisconsin Medical School, Department of Radiology, Madison, Wisconsin, United States.

Adult Aged Aorta, Abdominal Aortic Diseases Deep Learning Female Humans Male Mass Screening Middle Aged Pattern Recognition, Automated Radiographic Image Interpretation, Computer-Assisted Radiography, Abdominal Tomography, X-Ray Computed Vascular Calcification

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