Detection of small joint arthritis with corrected spectral imagesRogelj, Luka (Avtor) Simončič, Urban (Mentor) Arthritishyperspectral imagingmultispectral imagingtissue phantomsbiomedical opticsThe main aim of the dissertation was to detect rheumatoid arthritis using spectral images. The organization of the work follows the four specific aims: (I) development and validation of the hyperspectral and multispectral imaging systems with integrated 3D profilometry; (II) development of algorithms for spectral image correction and tissue physiological parameters extraction; (III) application of the developed methods for imaging arthritis patients; (IV) evaluation of the developed methods for arthritis diagnosis of the small joints. In the first chapter, the characteristics of arthritis disease are presented. The clinical picture and pathology are described along with treatment options. Possible options for arthritis detection are introduced, with emphasis on optical imaging techniques, following the brief theory of light and tissue interaction. The second chapter presents the characterization and development of multispectral and hyperspectral imaging systems. Spectral and spatial verification using common imaging resolution standards is described. In the third chapter, curvature and height correction methods are presented and applied to various objects. Tissue phantoms were used to evaluate the effect of the correction on the reflected light and, consequently, on the extracted optical parameters The fourth chapter describes a clinical study in which healthy and arthritic patients were imaged with diffuse reflectance and transmission imaging. Reflectance images are analyzed with statistical parametric mapping. For transmission images, the effective thickness as a measure of the disease severity is extracted from the images. In the last chapter, the results are discussed and compared with the existing research on similar topics. Finally, future plans for improving imaging systems and analysis methods are presented.20222022-11-25 08:15:01Doktorsko delo/naloga142775sl