Automatic finger joint synovitis localization in ultrasound images

Karolina Nurzynska; Bogdan Smolka

doi:10.1117/12.2227638

29 April 2016 Automatic finger joint synovitis localization in ultrasound images

Karolina Nurzynska, Bogdan Smolka

Proceedings Volume 9897, Real-Time Image and Video Processing 2016; 98970N (2016) https://doi.org/10.1117/12.2227638
Event: SPIE Photonics Europe, 2016, Brussels, Belgium

Abstract

A long-lasting inflammation of joints results between others in many arthritis diseases. When not cured, it may influence other organs and general patients' health. Therefore, early detection and running proper medical treatment are of big value. The patients' organs are scanned with high frequency acoustic waves, which enable visualization of interior body structures through an ultrasound sonography (USG) image. However, the procedure is standardized, different projections result in a variety of possible data, which should be analyzed in short period of time by a physician, who is using medical atlases as a guidance. This work introduces an efficient framework based on statistical approach to the finger joint USG image, which enables automatic localization of skin and bone regions, which are then used for localization of the finger joint synovitis area. The processing pipeline realizes the task in real-time and proves high accuracy when compared to annotation prepared by the expert.

Citation Download Citation

Karolina Nurzynska and Bogdan Smolka "Automatic finger joint synovitis localization in ultrasound images", Proc. SPIE 9897, Real-Time Image and Video Processing 2016, 98970N (29 April 2016); https://doi.org/10.1117/12.2227638

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