Comparison of Different Approaches for Measuring Tibial Cartilage Thickness

Author:

Maier Jennifer1,Black Marianne2,Bonaretti Serena2,Bier Bastian1,Eskofier Bjoern1,Choi Jang-Hwan3,Levenston Marc2,Gold Garry2,Fahrig Rebecca24,Maier Andreas1

Affiliation:

1. Pattern Recognition Lab, Department of Computer Science, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany

2. Department of Radiology, School of Medicine, Stanford University, Palo Alto, CA, USA

3. Division of Mechanical and Biomedical Engineering, Ewha Womans University, Seoul, Korea

4. Now with Siemens Healthcare GmbH, Erlangen, Germany

Abstract

AbstractOsteoarthritis is a degenerative disease affecting bones and cartilage especially in the human knee. In this context, cartilage thickness is an indicator for knee cartilage health. Thickness measurements are performed on medical images acquired in-vivo. Currently, there is no standard method agreed upon that defines a distance measure in articular cartilage. In this work, we present a comparison of different methods commonly used in literature. These methods are based on nearest neighbors, surface normal vectors, local thickness and potential field lines. All approaches were applied to manual segmentations of tibia and lateral and medial tibial cartilage performed by experienced raters. The underlying data were contrast agent-enhanced cone-beam C-arm CT reconstructions of one healthy subject’s knee. The subject was scanned three times, once in supine position and two times in a standing weight-bearing position. A comparison of the resulting thickness maps shows similar distributions and high correlation coefficients between the approaches above 0.90. The nearest neighbor method results on average in the lowest cartilage thickness values, while the local thickness approach assigns the highest values. We showed that the different methods agree in their thickness distribution. The results will be used for a future evaluation of cartilage change under weight-bearing conditions.

Publisher

Walter de Gruyter GmbH

Subject

General Medicine

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