Fully automated segmentation of the psoas major muscle in clinical CT scans

Kopaczka M, Lindenpütz R, Truhn D, Schulze-Hagen M, Merhof D (2020)

Publication Type: Conference contribution

Publication year: 2020

Journal

Informatik aktuell Gesellschaft für Informatik (GI)

Publisher: Springer

Pages Range: 55-60

Conference Proceedings Title: Informatik aktuell

Event location: Berlin, DEU

ISBN: 9783658292669

DOI: 10.1007/978-3-658-29267-6_12

Abstract

Clinical studies have shown that skeletal muscle mass, sarcopenia and muscle atrophy can be used as predictive indicators for morbidity and mortality after various surgical procedures and in different medical treatment methods. At the same time, the major psoas muscle has been has been used as a tool to assess total muscle volume. From the image processing side it has the advantage of being one of the few muscles that are not surrounded by other muscles at all times, thereby allowing simpler segmentation than in other muscles. The muscle is fully visible on abdominal CT scans, which are for example performed in clinical workups before surgery. Therefore, automatic analysis of the psoas major muscle in routine CT scans would aid in the assessment of sarcopenia without the need for additional scans or examinations. To this end, we present a method for fully automated segmentation of the psoas major muscle in abdominal CT scans using a combination of methods for semantic segmentation and shape analysis. Our method outperforms available approaches for this task, additionally we show a good correlation between muscle volume and population parameters in different clinical datasets.

Involved external institutions

Universitätsklinikum Aachen (UKA) DE Germany (DE) Rheinisch-Westfälische Technische Hochschule (RWTH) Aachen DE Germany (DE)

How to cite

APA:

Kopaczka, M., Lindenpütz, R., Truhn, D., Schulze-Hagen, M., & Merhof, D. (2020). Fully automated segmentation of the psoas major muscle in clinical CT scans. In Thomas Tolxdorff, Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus H. Maier-Hein, Christoph Palm (Eds.), Informatik aktuell (pp. 55-60). Berlin, DEU: Springer.

MLA:

Kopaczka, Marcin, et al. "Fully automated segmentation of the psoas major muscle in clinical CT scans." Proceedings of the International workshop on Algorithmen - Systeme - Anwendungen, 2020, Berlin, DEU Ed. Thomas Tolxdorff, Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus H. Maier-Hein, Christoph Palm, Springer, 2020. 55-60.

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