A Direct Geometry Processing Cartilage Generation Method Using Segmented Bone Models from Datasets with Poor Cartilage Visibility

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

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.
Original languageEnglish
Title of host publicationComputational Biomechanics for Medicine : Towards Translation and Better Patient Outcomes
PublisherSpringer
Publication date2022
Pages155.169
ISBN (Print)978-3-031-09326-5
ISBN (Electronic)978-3-031-09327-2
DOIs
Publication statusPublished - 2022
Event25th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2022 - Singapore, Singapore
Duration: 18 Sep 202222 Sep 2022

Conference

Conference25th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2022
LandSingapore
BySingapore
Periode18/09/202222/09/2022

ID: 335358413