Image Segmentation for the Investigation of Scattered-Light Images when Laser-Optically Diagnosing Rheumatoid Arthritis

Herbert Gajewski, Jens A. Griepentrog, Alexander Mielke, Jürgen Beuthan, Urszula Zabarylo and Olaf Minet
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Herbert Gajewski: Forschungsverbund Berlin e.V., Weierstraß-Institut für Angewandte Analysis und Stochastik
Jens A. Griepentrog: Forschungsverbund Berlin e.V., Weierstraß-Institut für Angewandte Analysis und Stochastik
Alexander Mielke: Forschungsverbund Berlin e.V., Weierstraß-Institut für Angewandte Analysis und Stochastik
Jürgen Beuthan: Forschungsverbund Berlin e.V., Weierstraß-Institut für Angewandte Analysis und Stochastik
Urszula Zabarylo: Forschungsverbund Berlin e.V., Weierstraß-Institut für Angewandte Analysis und Stochastik
Olaf Minet: Charitè Universitätsmedizin Berlin, Campus Benjamin Franklin, Institut für Medizinische Physik und Lasermedizin

A chapter in Mathematics – Key Technology for the Future, 2008, pp 149-161 from Springer

Abstract: Abstract With 1–2% of the population affected, rheumatoid arthritis (RA) is the most frequent inflammatory arthropathy. In most cases, RA initially affects the small joints, only, especially the finger joints. The inflammations of the joints caused by this disease usually start with a synovitis. At the same time, there is a change in the filtration properties of the synovialis, which increases the enzyme rate within the synovia thus accelerating the progress of inflammation. In a later stage, granulation and neovascularisation occur in the synovia (Figs. 1 and 2), which may finally lead to the destruction of cartilage and bone structures [1]. So, it is rather unsurprising that the optical parameters [2, 3] (Table 1) change in these early stages of the disease.

Keywords: Rheumatoid Arthritis; Image Segmentation; Descent Method; Small Joint; Toid Arthritis (search for similar items in EconPapers)
Date: 2008
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DOI: 10.1007/978-3-540-77203-3_11

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