University of Louisville Research Foundation

Amy Dwyer

Ayman Sabry El-Baz

Ahmed Soliman

Fahmi Khalifa

Mohamed Shehata

Rosemary Ouseph

Hisham Abdeltawab

A computer aided diagnostic system and automated method to classify a kidney utilizes medical image data and clinical biomarkers in evaluation of kidney function pre- and post-transplantation. The system receives image data from a medical scan that includes image data of a kidney, then segments kidney image data from other image data of the medical scan. The kidney is then classified by analyzing at least one feature determined from the kidney image data and the at least one clinical biomarker.

Computer aided diagnosis system for classifying kidneys

A computer aided diagnostic system and automated method to classify a kidney. Image data for a medical scan that includes image data of a kidney may be received. The kidney image data may be segmented from other image data of the medical scan. One or more iso-contours may be registered for the kidney image data, and renal cortex image data may be segmented from the kidney image data based on the one or more registered iso-contours. The kidney may be classified by analyzing one or more features determined from the segmented renal cortex image data using a learned model associated with the one or more features.

Computer aided diagnostic system for classifying kidneys

Growing community of inventors

Crestwood, KY, United States of America

Amy Dwyer