Automatic Segmentation of Lymphatic Perfusion in Patients with Congenital Single Ventricle Defects

Stegmaier M, Schröder C, Müller J, Day T, Cuomo M, Dewald O, Dittrich S, Kainz B (2024)

Publication Language: English

Publication Type: Conference contribution, Conference Contribution

Publication year: 2024

Journal

Informatik aktuell Gesellschaft für Informatik (GI)

Publisher: Springer Vieweg

Series: Informatik aktuell

City/Town: Wiesbaden

Pages Range: 255-260

Conference Proceedings Title: Bildverarbeitung für die Medizin 2024. BVM 2024

Event location: Erlangen DE

ISBN: 9783658440367

DOI: 10.1007/978-3-658-44037-4_70

Abstract

The Fontan circulation is the surgical end-point for a variety of singleventricle congenital heart lesions. While recent decades have witnessed substantial improvements in survival rates, the associated physiology remains susceptible to severe complications such as protein-losing enteropathy and plastic bronchitis. These complications are often indicative of abnormal congestion in the lymphatic system, underscoring their significance as harbingers of impending comorbidities. An accurate assessment of congestion severity requires the detailed annotation of lymphatic perfusion patterns in each volumetric scan slice. The manual labelling of such intricate data is time-consuming and demands a high level of expertise, rendering it unfeasible within the confines of standard clinical protocols. We use a curated database consisting of manually annotated T2-weighted magnetic resonance imaging (MRI) scans from 71 Fontan patients post-surgery. Following the current state-of-the-art method for biomedical image segmentation, we evaluate its performance on multiple independent test sets regarding the degree of severity and imaging quality. Incorporating the best-performing model,we have developed a user-friendly interface for the automatic segmentation of lymphatic malformations, which will be published before the conference starts.

Authors with CRIS profile

Christian Schröder Professur für Kinderkardiologie Johanna Müller Professur für Image Data Exploration and Analysis Michela Cuomo Department of Cardiac Surgery Oliver Dewald Professur für Herzchirurgie mit dem Schwerpunkt Kinderherzchirurgie Sven Dittrich Professur für Kinderkardiologie Bernhard Kainz Professur für Image Data Exploration and Analysis

Involved external institutions

King’s College London GB United Kingdom (GB)

How to cite

APA:

Stegmaier, M., Schröder, C., Müller, J., Day, T., Cuomo, M., Dewald, O.,... Kainz, B. (2024). Automatic Segmentation of Lymphatic Perfusion in Patients with Congenital Single Ventricle Defects. In Andreas Maier, Thomas M. Deserno, Heinz Handels, Klaus Maier-Hein, Christoph Palm, Thomas Tolxdorff (Eds.), Bildverarbeitung für die Medizin 2024. BVM 2024 (pp. 255-260). Erlangen, DE: Wiesbaden: Springer Vieweg.

MLA:

Stegmaier, Marietta, et al. "Automatic Segmentation of Lymphatic Perfusion in Patients with Congenital Single Ventricle Defects." Proceedings of the German Conference on Medical Image Computing, BVM 2024, Erlangen Ed. Andreas Maier, Thomas M. Deserno, Heinz Handels, Klaus Maier-Hein, Christoph Palm, Thomas Tolxdorff, Wiesbaden: Springer Vieweg, 2024. 255-260.

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