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  4. Combining Arterial and Venous CT Scans in a Multi-Encoder Network for Improved Hepatic Vessel Segmentation
 
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2023
Conference Paper
Title

Combining Arterial and Venous CT Scans in a Multi-Encoder Network for Improved Hepatic Vessel Segmentation

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.
Author(s)
Thielke, Felix
Fraunhofer-Institut für Digitale Medizin MEVIS  
Kock, Farina
Fraunhofer-Institut für Digitale Medizin MEVIS  
Hänsch, Annika
Fraunhofer-Institut für Digitale Medizin MEVIS  
Abolmaali, Nasreddin D.
Schenk, Andrea
Fraunhofer-Institut für Digitale Medizin MEVIS  
Meine, Hans
Fraunhofer-Institut für Digitale Medizin MEVIS  
Mainwork
Medical Imaging 2023. Image Processing  
Conference
Conference "Medical Imaging - Image Processing" 2023  
DOI
10.1117/12.2654157
Language
English
Fraunhofer-Institut für Digitale Medizin MEVIS  
Keyword(s)
  • abdomen

  • CT

  • deep learning

  • liver vessels

  • multi-encoder

  • multi-phase

  • segmentation

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