@inproceedings{eb1c5394cc1c4b84976c98836032c4cd,
title = "Automatic finger joint synovitis localization in ultrasound images",
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.",
keywords = "USG images, histogram, nger joint synovitis",
author = "Karolina Nurzynska and Bogdan Smolka",
note = "Publisher Copyright: {\textcopyright} 2016 SPIE.; Real-Time Image and Video Processing 2016 ; Conference date: 07-04-2016",
year = "2016",
doi = "10.1117/12.2227638",
language = "English",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Carlsohn, \{Matthias F.\} and Nasser Kehtarnavaz",
booktitle = "Real-Time Image and Video Processing 2016",
address = "United States",
}