Abdominal organ segmentation via deep diffeomorphic mesh deformations.

ABSTRACT: Abdominal organ segmentation from CT and MRI is an essential prerequisite for surgical planning and computer-aided navigation systems. It is challenging due to the high variability in the shape, size, and position of abdominal organs. Three-dimensional numeric representations of abdominal shapes with point-wise correspondence to a template are further important for quantitative and statistical analyses thereof. Recently, template-based surface extraction methods have shown promising advances for direct mesh reconstruction from volumetric scans. However, the generalization of these deep learning-based approaches to different organs and datasets, a crucial property for deployment in clinical environments, has not yet been assessed. We close this gap and employ template-based mesh reconstruct

SUBMITTER: Bongratz F 

PROVIDER: S-EPMC10600339 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature