VERIDAH: solving enumeration anomaly-aware vertebra labeling across imaging sequences.

Hendrik Möller^1,2, Hanna Schön^3,4, Robert Graf^3,5, Matan Atad^3,5, Nathan Molinier⁶, Anjany Sekuboyina⁷, Bettina K Budai⁸, Fabian Bamberg⁹, Steffen Ringhof⁹, Christopher Schlett⁹, Tobias Pischon¹⁰, Thoralf Niendorf¹¹, Josua A Decker¹², Marc-André Weber⁴, Bjoern Menze⁷, Daniel Rueckert^5,13, Jan S Kirschke³

¹Department of Diagnostic and Interventional Neuroradiology, TUM University Hospital, Munich, Germany. hendrik.moeller@tum.de.

²Chair for AI in Healthcare and Medicine, Technical University of Munich (TUM) and TUM University Hospital, Munich, Germany. hendrik.moeller@tum.de.

³Department of Diagnostic and Interventional Neuroradiology, TUM University Hospital, Munich, Germany.

⁴Department of Diagnostic and Interventional Radiology, Pediatric Radiology and Neuroradiology, Rostock University Medical Center, Rostock, Germany.

⁵Chair for AI in Healthcare and Medicine, Technical University of Munich (TUM) and TUM University Hospital, Munich, Germany.

⁶NeuroPoly Lab, Institute of Biomedical Engineering, Polytechnique Montreal and Mila (Quebec AI Institute), Quebec, Canada.

⁷Department of Quantitative Biomedicine, University of Zurich, Zurich, Switzerland.

⁸Department of Diagnostic and Interventional Radiology, University Hospital Heidelberg, Heidelberg, Germany.

⁹Department of Diagnostic and Interventional Radiology, Medical Center, University of Freiburg, Freiburg, Germany.

¹⁰Molecular Epidemiology Research Group, Max-Delbrueck-Center for Molecular Medicine in the Helmholtz Association (MDC), Berlin, Germany.

¹¹Berlin Ultrahigh Field Facility (B.U.F.F.), Max Delbrueck Center for Molecular Medicine, Berlin, Germany.

¹²Department of Diagnostic and Interventional Radiology, University Hospital Augsburg, Augsburg, Germany.

¹³Department of Computing, Imperial College London, London, UK.

PubMed DOI

Abstract

OBJECTIVES: Although the identification of enumeration anomalies has potential clinical implications for chronic back pain and operation planning, the thoracolumbar junction is poorly assessed and rarely described in clinical reports. Additionally, even though multiple deep-learning-based vertebra labeling algorithms exist, there is a lack of methods to automatically label enumeration anomalies.…

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