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Categorization of two-photon microscopy images of human cartilage into states of osteoarthritis

Authors
Journal
Osteoarthritis and Cartilage
1063-4584
Publisher
Elsevier
Volume
21
Issue
8
Identifiers
DOI: 10.1016/j.joca.2013.04.019
Keywords
  • Cartilage
  • Osteoarthritis
  • 2-Photon Microscopy
  • Categorization
  • Wavelet Transformation
  • Self-Organizing Maps
Disciplines
  • Computer Science
  • Medicine
  • Physics

Abstract

Summary Objective The degeneration of articular cartilage is part of the clinical syndrome of osteoarthritis (OA) and one of the most common causes of pain and disability in middle-aged and older people1. However, the objective detection of an initial state of OA is still challenging. In order to categorize cartilage into states of OA, an algorithm is presented which offers objective categorization on the basis of two-photon laser-scanning microscopy (TPLSM) images. Methods The algorithm is based on morphological characteristics of the images and results in a topographical visualization. This paper describes the algorithm and shows the result of a categorization of human cartilage samples. Results The resulting map of the analysis of TPLSM images can be divided into areas which correspond to the grades of the Outerbridge-Categorization. The algorithm is able to differentiate the samples in coincidence with the macroscopic impression. Conclusion The method is promising for early OA detection and categorization. In order to achieve a higher benefit for the physician the method must be transferred to an endoscopic setup for an application in surgery.

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