Finger joint synovitis detection in ultrasound images

• Autorzy: Radlak K. , Frackiewicz M. , Palus H. , Smolka B.

Identyfikatory

DOI

10.24425/122104

• Języki publikacji: EN

Abstrakty

EN

Ultrasonography has proved its usefulness in the evaluation of joint inflammations caused by rheumatoid arthritis. The illness severity is scored by human examiners based on their experience, but some discrepancies in the final diagnosis and treatment frequently occur. Therefore, the main aim of this work is the elaboration of an automatic method of the localization of finger joint inflammation level in ultrasound images. In this paper we propose a novel, fully automated framework for synovitis region segmentation. In our approach we compare several bones and joint localization methods based on the seeded region growing technique, which is combined with different speckle noise filtering algorithms. This technique extracts a region from the image using some predefined criteria of similarity between initially selected point and the pixels in its neighborhood. The seed point is localized automatically as the darkest patch within a small region between two detected finger bones close to the joint. The region affected by synovitis is found using the adopted criterion of homogeneity based on a patch to patch similarity measure. The obtained results exhibit a satisfying accuracy in comparison with the annotations prepared by an expert and the results delivered by semi-automatic methods that require manual bones delineation.

Słowa kluczowe

EN

synovitis; finger joint; seeded region growing; ultrasound imaging; image segmentation

PL

obrazowanie; ultrasonografia; segmentacja obrazu

• Wydawca: Polska Akademia Nauk, Wydział IV Nauk Technicznych
• Czasopismo: Bulletin of the Polish Academy of Sciences. Technical Sciences
• Rocznik: 2018
• Tom: Vol. 66, nr 2
• Strony: 235--245
• Opis fizyczny: Bibliogr. 36 poz., rys., tab.

Twórcy

autor

Radlak K.

• Silesian University of Technology, ul. Akademicka 16, 44-100 Gliwice, Poland

autor

Frackiewicz M.

• Silesian University of Technology, ul. Akademicka 16, 44-100 Gliwice, Poland

autor

Palus H.

• Silesian University of Technology, ul. Akademicka 16, 44-100 Gliwice, Poland

autor

Smolka B.

• Silesian University of Technology, ul. Akademicka 16, 44-100 Gliwice, Poland

Bibliografia

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Uwagi

PL

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).