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

doi:10.1117/12.2654157

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 +

Proceedings Volume 12464, Medical Imaging 2023: Image Processing; 124640B (2023) https://doi.org/10.1117/12.2654157
Event: SPIE Medical Imaging, 2023, San Diego, California, United States

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

Citation Download Citation

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

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