Eduardo Pontes Reis, Louis Blankemeier, Juan Manuel Zambrano Chaves, Malte Engmann Kjeldskov Jensen, Sally Yao, Cesar Augusto Madid Truyts, Marc H Willis, Scott Adams, Edson Amaro, Robert D Boutin, Akshay S Chaudhari
OBJECTIVES: To develop and validate an open-source artificial intelligence (AI) algorithm to accurately detect contrast phases in abdominal CT scans. MATERIALS AND METHODS: Retrospective study aimed to develop an AI algorithm trained on 739 abdominal CT exams from 2016 to 2021, from 200 unique patients, covering 1545 axial series. We performed segmentation of five key anatomic structures-aorta, portal vein, inferior vena cava, renal parenchyma, and renal pelvis-using TotalSegmentator, a deep learning-based tool for multi-organ segmentation, and a rule-based approach to extract the renal pelvis...
April 29, 2024: European Radiology