A direct geometry processing cartilage generation method using segmented bone models from datasets with poor cartilage visibility

TL;DR

This paper introduces a fast, geometry-based method for generating subject-specific hip cartilage models from bone geometries, suitable for biomechanical analysis, especially when imaging data is limited or poor in cartilage visibility.

Contribution

The method is novel in its direct geometry processing approach that is modality-agnostic and creates conforming interfaces without requiring extensive manual segmentation or training data.

Findings

Demonstrated on ten hip joints with consistent anatomical shapes.

Produced well-behaved stress patterns suitable for finite element analysis.

Fast processing suitable for large-scale biomechanical studies.

Abstract

We present a method to generate subject-specific cartilage for the hip joint. Given bone geometry, our approach is agnostic to image modality, creates conforming interfaces, and is well suited for finite element analysis. We demonstrate our method on ten hip joints showing anatomical shape consistency and well-behaved stress patterns. Our method is fast and may assist in large-scale biomechanical population studies of the hip joint when manual segmentation or training data is not feasible.