Efficient Anatomical Labeling of Pulmonary Tree Structures via Implicit Point-Graph Networks

• URL: http://arxiv.org/abs/2309.17329v2
• Date: Thu, 5 Oct 2023 12:52:09 GMT
• Title: Efficient Anatomical Labeling of Pulmonary Tree Structures via Implicit Point-Graph Networks
• Authors: Kangxian Xie, Jiancheng Yang, Donglai Wei, Ziqiao Weng, Pascal Fua
• Abstract summary: Pulmonary diseases rank prominently among the principal causes of death worldwide. In theory, they can be modeled using high-resolution image stacks. Standard CNN approaches operating on dense voxel grids are prohibitively expensive. We introduce a point-based approach that preserves graph connectivity of tree skeleton and incorporates an implicit surface representation.
• Score: 48.455002765340254
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Pulmonary diseases rank prominently among the principal causes of death worldwide. Curing them will require, among other things, a better understanding of the many complex 3D tree-shaped structures within the pulmonary system, such as airways, arteries, and veins. In theory, they can be modeled using high-resolution image stacks. Unfortunately, standard CNN approaches operating on dense voxel grids are prohibitively expensive. To remedy this, we introduce a point-based approach that preserves graph connectivity of tree skeleton and incorporates an implicit surface representation. It delivers SOTA accuracy at a low computational cost and the resulting models have usable surfaces. Due to the scarcity of publicly accessible data, we have also curated an extensive dataset to evaluate our approach and will make it public.

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