A direct geometry processing cartilage generation method using segmented bone models from datasets with poor cartilage visibility
This method may assist in large-scale biomechanical population studies of the hip joint where manual segmentation or training data is not feasible.
The researchers tackled the problem of generating subject-specific hip cartilage from bone geometry when cartilage visibility is poor, resulting in a fast method that produced anatomically consistent shapes and well-behaved stress patterns in tests on ten hip joints.
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.