Paper
4 March 2014 Identification of inflammation sites in arthritic joints using hyperspectral imaging
Lukasz A. Paluchowski, Matija Milanic, Asgeir Bjorgan, Berit Grandaunet, Alvilde Dhainaut, Mari Hoff M.D., Lise L. Randeberg
Author Affiliations +
Abstract
Inflammatory arthritic diseases have prevalence between 2 and 3% and may lead to joint destruction and deformation resulting in a loss of function. Patient’s quality of life is often severely affected as the disease attacks hands and finger joints. Pathology involved in arthritis includes angiogenesis, hyper-vascularization, hyper-metabolism and relative hypoxia. We have employed hyperspectral imaging to study the hemodynamics of affected- and non-affected joints and tissue. Two hyperspectral, push-broom cameras were used (VNIR-1600, SWIR-320i, Norsk Elektro Optikk AS, Norway). Optical spectra (400nm – 1700nm) of high spectral resolution were collected from 15 patients with visible symptoms of arthritic rheumatic diseases in at least one joint. The control group consisted of 10 healthy individuals. Concentrations of dominant chromophores were calculated based on analytical calculations of light transport in tissue. Image processing was used to analyze hyperspectral data and retrieve information, e.g. blood concentration and tissue oxygenation maps. The obtained results indicate that hyperspectral imaging can be used to quantify changes within affected joints and surrounding tissue. Further improvement of this method will have positive impact on diagnosis of arthritic joints at an early stage. Moreover it will enable development of fast, noninvasive and noncontact diagnostic tool of arthritic joints
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Lukasz A. Paluchowski, Matija Milanic, Asgeir Bjorgan, Berit Grandaunet, Alvilde Dhainaut, Mari Hoff M.D., and Lise L. Randeberg "Identification of inflammation sites in arthritic joints using hyperspectral imaging", Proc. SPIE 8947, Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues XII, 89470H (4 March 2014); https://doi.org/10.1117/12.2040499
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Cited by 2 scholarly publications.
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KEYWORDS
Oxygen

Hyperspectral imaging

Tissue optics

Tissues

Blood

Cameras

Imaging spectroscopy

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