Improved X-Ray Bone Segmentation by Normalization and Augmentation Strategies

Kordon FJ, Lasowski R, Swartman B, Franke J, Fischer P, Kunze H (2019)

Publication Language: English

Publication Type: Conference contribution, Conference Contribution

Publication year: 2019

Publisher: Springer Vieweg

City/Town: Wiesbaden

Pages Range: 104-109

Conference Proceedings Title: Bildverarbeitung für die Medizin 2019

Event location: Lübeck DE

ISBN: 978-3-658-25326-4

DOI: 10.1007/978-3-658-25326-4_24

Abstract

X-ray images can show great variation in contrast and noise levels. In addition, important subject structures might be superimposed with surgical tools and implants. As medical image datasets tend to be of small size, these image characteristics are often under-represented. For the task of automated, learning-based segmentation of bone structures, this may lead to poor generalization towards unseen images and consequently limits practical application. In this work, we employ various data augmentation techniques that address X-ray-specific image characteristics and evaluate them on lateral projections of the femur bone. We combine those with data and feature normalization strategies that could prove beneficial to this domain. We show that instance normalization is a viable alternative to batch normalization and demonstrate that contrast scaling and the overlay of surgical tools and implants in the image domain can boost the representational capacity of available image data. By employing our best strategy, we can improve the average symmetric surface distance measure by 36.22 %.

Authors with CRIS profile

Florian Johannes Kordon Lehrstuhl für Informatik 5 (Mustererkennung) Peter Fischer Lehrstuhl für Informatik 14 (Bild- und Sprachverarbeitung) Holger Kunze

Related research project(s)

Deep-Learning basierte Segmentierung und Landmarkendetektion auf Röntgenbildern für unfallchirurgische Eingriffe May 6, 2019 - May 6, 2022

Involved external institutions

BG Unfallklinik Ludwigshafen (BGU) / BG Hospital Ludwigshafen DE Germany (DE) Siemens Healthineers DE Germany (DE) Hochschule Furtwangen DE Germany (DE)

How to cite

APA:

Kordon, F.J., Lasowski, R., Swartman, B., Franke, J., Fischer, P., & Kunze, H. (2019). Improved X-Ray Bone Segmentation by Normalization and Augmentation Strategies. In Handels H., Deserno T.M., Maier A., Maier-Hein K.H., Palm C., Tolxdorff T. (Eds.), Bildverarbeitung für die Medizin 2019 (pp. 104-109). Lübeck, DE: Wiesbaden: Springer Vieweg.

MLA:

Kordon, Florian Johannes, et al. "Improved X-Ray Bone Segmentation by Normalization and Augmentation Strategies." Proceedings of the Bildverarbeitung für die Medizin 2019, Lübeck Ed. Handels H., Deserno T.M., Maier A., Maier-Hein K.H., Palm C., Tolxdorff T., Wiesbaden: Springer Vieweg, 2019. 104-109.

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