Hierarchical Part-based Generative Model for Realistic 3D Blood Vessel

TL;DR

This paper introduces a hierarchical, part-based generative model for realistic 3D blood vessel creation, effectively capturing complex vascular structures and outperforming existing methods in modeling intricate vascular networks.

Contribution

It presents the first part-based generative framework for 3D vessel modeling, separating global topology from local geometry for improved realism and accuracy.

Findings

Superior performance over existing methods in modeling complex vascular networks

Effective separation of global topology and local geometry in 3D vessel generation

First application of part-based approach to 3D blood vessel modeling

Abstract

Advancements in 3D vision have increased the impact of blood vessel modeling on medical applications. However, accurately representing the complex geometry and topology of blood vessels remains a challenge due to their intricate branching patterns, curvatures, and irregular shapes. In this study, we propose a hierarchical part-based frame work for 3D vessel generation that separates the global binary tree-like topology from local geometric details. Our approach proceeds in three stages: (1) key graph generation to model the overall hierarchical struc ture, (2) vessel segment generation conditioned on geometric properties, and (3) hierarchical vessel assembly by integrating the local segments according to the global key graph. We validate our framework on real world datasets, demonstrating superior performance over existing methods in modeling complex vascular networks. This work marks the first successful application of a part-based generative approach for 3D vessel modeling, setting a new benchmark for vascular data generation. The code is available at: https://github.com/CybercatChen/PartVessel.git.