Presentation + Paper
3 April 2023 Combining arterial and venous CT scans in a multi-encoder network for improved hepatic vessel segmentation
Felix Thielke, Farina Kock, Annika Hänsch, Nasreddin Abolmaali, Andrea Schenk, Hans Meine
Author Affiliations +
Abstract
The segmentation of hepatic vessel systems is important for many applications treating malignant liver disease such as selective internal radiation therapy. To enhance the different vessel systems, contrast agent is injected intravenously and CT scans are obtained at different time points and phases of contrast agent perfusion in liver vessels and parenchyma. We demonstrate that using the registered arterial phase as additional input for training an aU-Net for portal vein (PV) and hepatic vein (HV) segmentation increases the centerline Dice. However, using the registered venous phase for hepatic artery (HA) segmentation does not improve segmentation performance.
Conference Presentation
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Felix Thielke, Farina Kock, Annika Hänsch, Nasreddin Abolmaali, Andrea Schenk, and Hans Meine "Combining arterial and venous CT scans in a multi-encoder network for improved hepatic vessel segmentation", Proc. SPIE 12464, Medical Imaging 2023: Image Processing, 124640B (3 April 2023); https://doi.org/10.1117/12.2654157
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Computed tomography

Liver

Veins

Arteries

Deep learning

Volume segmentation

Back to Top