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

Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

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.
OriginalsprogEngelsk
TitelComputational Biomechanics for Medicine : Towards Translation and Better Patient Outcomes
ForlagSpringer
Publikationsdato2022
Sider155.169
ISBN (Trykt)978-3-031-09326-5
ISBN (Elektronisk)978-3-031-09327-2
DOI
StatusUdgivet - 2022
Begivenhed25th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2022 - Singapore, Singapore
Varighed: 18 sep. 202222 sep. 2022

Konference

Konference25th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2022
LandSingapore
BySingapore
Periode18/09/202222/09/2022

ID: 335358413