Paper
23 September 2005 Pattern recognition of transillumination images for diagnosis of rheumatoid arthritis
Joanna Bauer, Ewa Boerner, Halina Podbielska, Artur Suchwalko
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Abstract
In this work the statistical pattern recognition methods were applied for evaluation of transillumination images of interphalangeal joints of patients suffering from rheumatoid arthritis. Special portable apparatus was constructed for performing the transillumination examination. It consisted of He-Ne laser with optics for collimated illumination, special holder for placing the finger (perpendicular to optical axis, dorsal site towards camera), and CCD camera with memory stick. 20 ill patients and 20 healthy volunteers were examined. The captured images with 1152x864 resolution were converted into the gray level pictures and analyzed by means of statistical pattern recognition method. Principal Component Analysis (PCA) and cluster analysis by use of 1-NN method (1 Nearest Neighbour) were applied for classification. The recognition system was able to differentiate correctly between healthy and ill subjects with 72.35% accuracy in case the data base composed of 40 persons.
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Joanna Bauer, Ewa Boerner, Halina Podbielska, and Artur Suchwalko "Pattern recognition of transillumination images for diagnosis of rheumatoid arthritis", Proc. SPIE 5959, Medical Imaging, 595905 (23 September 2005); https://doi.org/10.1117/12.622552
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Cited by 7 scholarly publications.
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KEYWORDS
Pattern recognition

CCD cameras

Principal component analysis

Statistical analysis

Cameras

Collimation

Helium neon lasers

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