Top-K Maximum Intensity Projection Priors for 3D Liver Vessel Segmentation
Journal:
arXiv
Published Date:
Mar 5, 2025
Abstract
Liver-vessel segmentation is an essential task in the pre-operative planning
of liver resection. State-of-the-art 2D or 3D convolution-based methods
focusing on liver vessel segmentation on 2D CT cross-sectional views, which do
not take into account the global liver-vessel topology. To maintain this global
vessel topology, we rely on the underlying physics used in the CT
reconstruction process, and apply this to liver-vessel segmentation.
Concretely, we introduce the concept of top-k maximum intensity projections,
which mimics the CT reconstruction by replacing the integral along each
projection direction, with keeping the top-k maxima along each projection
direction. We use these top-k maximum projections to condition a diffusion
model and generate 3D liver-vessel trees. We evaluate our 3D liver-vessel
segmentation on the 3D-ircadb-01 dataset, and achieve the highest Dice
coefficient, intersection-over-union (IoU), and Sensitivity scores compared to
prior work.
