Patient-specific functional liver segments based on centerline classification of the hepatic and portal veins
The presented HPVC method offers substantial improvements in liver segmentation precision, especially relevant for surgical planning in anatomically complex cases. Its integration into clinical workflows <i>via</i> the open-source platform 3D Slicer significantly enhances its accessibility and usability.
Authors
- Ruoyan Meng
- Ole Jakob Elle (ORCID: https://orcid.org/0000-0003-2359-1272)
- Davit L. Aghayan
- Ole Vegard Solberg (ORCID: https://orcid.org/0009-0004-9488-3621)
- Rahul Prasanna Kumar (ORCID: https://orcid.org/0000-0002-5951-7317)
- Egidijus Pelanis
- Geir Arne Tangen (ORCID: https://orcid.org/0000-0003-0032-8500)
- Rafael Palomar (ORCID: https://orcid.org/0000-0002-9136-4154)
- Tomas Sakinis (ORCID: https://orcid.org/0000-0001-5954-7586)
- Gabriella d’Albenzio (ORCID: https://orcid.org/0009-0009-5182-4775)
- Bjørn Edwin (ORCID: https://orcid.org/0000-0002-3137-6225)
Institutions
- Oslo University Hospital (NO)
- SINTEF (NO)
- University of Oslo (NO)
- Queen's University (CA)
- Norwegian University of Science and Technology (NO)
- Vestre Viken Hospital Trust (NO)
- Department of Health Research
- Yerevan State Medical University (AM)
Publication Details
- Journal
- Computer Assisted Surgery
- Published
- 2025-10-31
- DOI
- https://doi.org/10.1080/24699322.2025.2580307
- Primary Topic
- Medical Image Segmentation Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00