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Peer-Reviewed Publication
J Digit Imaging2023;36(4):1291-1301.August 1, 2023Journal Article

Deep Learning Body Region Classification of MRI and CT Examinations.

Philippe Raffy1,2, Jean-François Pambrun2, Ashish Kumar2,3, David Dubois4, Jay Waldron Patti5, Robyn Alexandra Cairns6, Ryan Young2,7
1Clairity, Austin, TX, USA.
2Enterprise Imaging Solutions, Change Healthcare, 10711 Cambie Road, Richmond, BC, V6X 3G5, Canada.
3, Accenture, San Francisco, CA, USA.
4Enterprise Imaging Solutions, Change Healthcare, 10711 Cambie Road, Richmond, BC, V6X 3G5, Canada. David.Dubois1@changehealthcare.com.
5Mecklenburg Radiology Associates, Charlotte, NC, USA.
6University of British Columbia, Vancouver, BC, Canada.
7Allen Institute for AI, Seattle, WA, USA.
PubMed PMC DOI PDF

Abstract

This study demonstrates the high performance of deep learning in identification of body regions covering the entire human body from magnetic resonance (MR) and computed tomography (CT) axial images across diverse acquisition protocols and modality manufacturers. Pixel-based analysis of anatomy contained in image sets can provide accurate anatomic labeling. For this purpose, a convolutional neural…

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