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BioDeformUNet: A Deep Learning Model for Biomechanically Informed Liver Image Registration

2026-08-05

Abstract excerpt

<h4>Purpose</h4> To build a 3D U-Net model, BioDeformUNet, to predict the liver’s deformation vector field (DVF) in near real-time, for efficient intra-procedural evaluation of the minimal ablative margin (MAM). <h4>Materials and Methods</h4> This retrospective study included 170 contrast-enhanced computed tomography (CECT) image pairs from 157 patients who underwent liver ablation treatment between 2020-2024. E...

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Literature Corpus work
f8a0b1e6-910a-5c4a-811a-220b5299b505
DOI
10.64898/2026.08.03.26359612
Open publication

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