Automatic virtual reconstruction of acetabular fractures using a statistical shape model.

ABSTRACT:

Purpose

Automatic virtual reconstruction of complex fractures would be helpful for pre-operative surgical planning. We developed a statistical shape model (SSM) which contains data of 200 intact 3D hemipelves. It allows for quantification of shape differences and is able to reconstruct abnormal shaped pelvises. We applied our SSM to reconstruct elementary and associate type acetabular fractures and assessed the reconstruction performance of the SSM, by comparing the reconstructed shape with the intact contralateral hemipelvis.

Methods

In this retrospective diagnostic imaging study, we used our SSM to virtually reconstruct fractured hemipelves of eighty-three patients with an acetabular fracture. A root mean square error (RMSE) was computed between the reconstructed shape and

SUBMITTER: van Veldhuizen WA 

PROVIDER: S-EPMC11666734 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature