Atlas-based Recognition of Anatomical Structures and Landmarks and the Automatic Computation of Orthopedic Parameters

J. Ehrhardt; H. Handels; W. Plötz; S. J. Pöppl

doi:10.1055/s-0038-1633882

Methods of Information in Medicine, Table of Contents

Methods Inf Med 2004; 43(04): 391-397
DOI: 10.1055/s-0038-1633882

Original Article

Schattauer GmbH

Atlas-based Recognition of Anatomical Structures and Landmarks and the Automatic Computation of Orthopedic Parameters

J. Ehrhardt

¹Institute for Medical Informatics, University of Lübeck, Lübeck, Germany

,

H. Handels

¹Institute for Medical Informatics, University of Lübeck, Lübeck, Germany

²Institute of Medical Informatics, University Hospital Hamburg-Eppendorf, Hamburg, Germany

,

W. Plötz

³Department of Orthopedic Surgery, Krankenhaus der Barmherzigen Brüder, München, Germany

,

S. J. Pöppl

¹Institute for Medical Informatics, University of Lübeck, Lübeck, Germany

› Author Affiliations

Abstract

Summary

Objective: This paper describes methods for the automatic atlas-based segmentation of bone structures of the hip, the automatic detection of anatomical point landmarks and the computation of orthopedic parameters to avoid the interactive, time-consuming preprocessing steps for the virtual planning of hip operations.

Methods: Based on the CT data of the Visible Human Data Sets, two three-dimensional atlases of the human pelvis have been built. The atlases consist of labeled CT data sets, 3D surface models of the separated structures and associated anatomical point landmarks. The atlas information is transferred to the patient data by a non-linear gray value-based registration algorithm. A surface-based registration algorithm was developed to detect the anatomical landmarks on the patient’s bone structures. Furthermore, a software tool for the automatic computation of orthopedic parameters is presented. Finally, methods for an evaluation of the atlas-based segmentation and the atlas-based landmark detection are explained.

Results: A first evaluation of the presented atlas-based segmentation method shows the correct labeling of 98.5% of the bony voxels. The presented landmark detection algorithm enables the precise and reliable localization of orthopedic landmarks. The accuracy of the landmark detection is below 2.5 mm.

Conclusion: The atlas-based segmentation of bone structures, the atlas-based landmark detection and the automatic computation of orthopedic measures are suitable to essentially reduce the time-consuming user interaction during the pre-processing of the CT data for the virtual three-dimensional planning of hip operations.

Keywords

Computer-assisted surgery - anatomical models - bone segmentation - landmark detection

Full Text

References

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