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Peer-Reviewed Publication
Comput Methods Programs Biomed2022;215106603.March 1, 2022Journal Article

Using Machine Learning to Identify Intravenous Contrast Phases on Computed Tomography.

Raouf Muhamedrahimov1, Amir Bar1, Jonathan Laserson1, Ayelet Akselrod-Ballin1, Eldad Elnekave2
1Zebra Medical Vision LTD, Shfayim, Israel.
2Zebra Medical Vision LTD, Shfayim, Israel; Department of Radiology, Rabin Medical Center, Petach Tikvah, Israel. Electronic address: eldad.elnekave@gmail.com.
PubMed DOI

Abstract

PURPOSE: The purpose of the present work is to demonstrate the application of machine learning (ML) techniques to automatically identify the presence and physiologic phase of intravenous (IV) contrast in Computed Tomography (CT) scans of the Chest, Abdomen and Pelvis. MATERIALS AND METHODS: Training, testing and validation data were acquired from a dataset of 82,690 chest and abdomen CT examinati…

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