Validation and comparison of three different methods for automated identification of distal femoral landmarks in 3D

Biomedizinische Technik/Biomedical Engineering, vol. 70, pp. 425–431

Abstract

OBJECTIVES: Identification of bony landmarks in medical images is of high importance for 3D planning in orthopaedic surgery. Automated landmark identification has the potential to optimize clinical routines and allows for the scientific analysis of large databases. To the authors' knowledge, no direct comparison of different methods for automated landmark detection on the same dataset has been published to date. METHODS: We compared 3 methods for automated femoral landmark identification: an artificial neural network, a statistical shape model and a geometric approach. All methods were compared against manual measurements of two raters on the task of identifying 6 femoral landmarks on CT data or derived surface models of 202 femora. RESULTS: The accuracy of the methods was in the range of the manual measurements and comparable to those reported in previous studies. The geometric approach showed a significantly higher average deviation compared to the manually selected reference landmarks, while there was no statistically significant difference for the neural network and the SSM. CONCLUSIONS: All fully automated methods show potential for use, depending on the use case. Characteristics of the different methods, such as the input data required (raw CT/segmented bone surface models, amount of training data required) and/or the methods robustness, can be used for method selection in the individual application.

Authors 6

1. Luisa Berger Aachen Chair of Medical Engineering

   RWTH Aachen University

   Affiliation as printed

   Chair of Medical Engineering , RWTH Aachen University , Aachen , Germany

2. Peter Brößner Aachen Chair of Medical Engineering

   RWTH Aachen University

   Affiliation as printed

   Chair of Medical Engineering , RWTH Aachen University , Aachen , Germany

3. Sonja A. G. A. Grothues Aachen Chair of Medical Engineering

   RWTH Aachen University

   Affiliation as printed

   Chair of Medical Engineering , RWTH Aachen University , Aachen , Germany

4. Kunihiko Tokunaga

   Kameda Daiichi Hospital

   Affiliation as printed

   Niigata Hip Joint Center , Kameda Daiichi Hospital , Niigata City , Japan

5. Masashi Okamoto

   Kameda Daiichi Hospital

   Affiliation as printed

   Department of Radiology, Niigata Hip Joint Center , Kameda Daichii Hospital , Niigata City , Japan

6. Klaus Radermacher Aachen Chair of Medical Engineering

   RWTH Aachen University

   Affiliation as printed

   Chair of Medical Engineering , RWTH Aachen University , Aachen , Germany