Detection of Pulmonary Embolisms in NCCT Data Using nnDetection

Vorberg L, Thamm F, Ditt H, Horger M, Hagen F, Maier A (2023)

Publication Type: Conference contribution, Conference Contribution

Publication year: 2023

Journal

Informatik aktuell Gesellschaft für Informatik (GI)

Publisher: Springer Science and Business Media Deutschland GmbH

Pages Range: 122-127

Conference Proceedings Title: Informatik aktuell

Event location: Braunschweig DE

ISBN: 9783658416560

DOI: 10.1007/978-3-658-41657-7_28

Abstract

Pulmonary embolism (PE) is a life-threatening disease for which a prompt diagnosis is important and challenging as its symptoms are mostly nonspecific. In the clinical workflow of diagnosing PE, computed tomographic pulmonary angiography (CTPA) has become the gold standard imaging tool. As the performance of a CT scan with contrast agent sometimes can be contraindicated and is associated with high costs, identifying the embolism with a non-contrast CT (NCCT) scan is desirable. We automated the detection of PE in NCCT scans with the use of deep learning, in order to guide the physician and speed up the clinical workflow. We used nnDetection, designed for medical object detection, to accomplish this task. nnDetection gets informed by additional channels which are used besides the NCCT scan. These are segmentation masks of the lung lobes and vessels which are also used for post-processing. In a study with 99 patients that all presented with PE, nnDetection was shown to detect a PE in 71% of the cases when considering the first 10 boxes with the highest probability containing a PE.

Authors with CRIS profile

Linda Vorberg Lehrstuhl für Informatik 5 (Mustererkennung) Florian Thamm Lehrstuhl für Informatik 5 (Mustererkennung) Andreas Maier Lehrstuhl für Informatik 5 (Mustererkennung)

Involved external institutions

Eberhard Karls Universität Tübingen DE Germany (DE) Siemens Healthineers DE Germany (DE)

How to cite

APA:

Vorberg, L., Thamm, F., Ditt, H., Horger, M., Hagen, F., & Maier, A. (2023). Detection of Pulmonary Embolisms in NCCT Data Using nnDetection. In Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus Maier-Hein, Christoph Palm, Thomas Tolxdorff (Eds.), Informatik aktuell (pp. 122-127). Braunschweig, DE: Springer Science and Business Media Deutschland GmbH.

MLA:

Vorberg, Linda, et al. "Detection of Pulmonary Embolisms in NCCT Data Using nnDetection." Proceedings of the Bildverarbeitung für die Medizin Workshop, BVM 2023, Braunschweig Ed. Thomas M. Deserno, Heinz Handels, Andreas Maier, Klaus Maier-Hein, Christoph Palm, Thomas Tolxdorff, Springer Science and Business Media Deutschland GmbH, 2023. 122-127.

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