{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,26]],"date-time":"2026-08-26T16:27:40Z","timestamp":1787761660496,"version":"build-2784847793"},"reference-count":9,"publisher":"Termedia Sp. z.o.o.","issue":"5","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Reumatologia"],"published-print":{"date-parts":[[2016,10,28]]},"abstract":"<b>Objectives<\/b>: Rheumatoid arthritis is the most common rheumatic disease with arthritis, and causes substantial functional disability in approximately 50% patients after 10 years. Accurate measurement of the disease activity is crucial to provide an adequate treatment and care to the patients. <br \/>\n<b>The aim of this study<\/b> is focused on a computer aided diagnostic system that supports an assessment of synovitis severity.<br \/>\n<b>Material and methods<\/b>: This paper focus on a computer aided diagnostic system that was developed within joint Polish\u2013Norwegian research project related to the automated assessment of the severity of synovitis. Semiquantitative ultrasound with power Doppler is a reliable and widely used method of assessing synovitis. Synovitis is estimated by ultrasound examiner using the scoring system graded from 0 to 3. Activity score is estimated on the basis of the examiner\u2019s experience or standardized ultrasound atlases. The method needs trained medical personnel and the result can be affected by a human error. <br \/>\n<b>Results<\/b>: The porotype of a computer-aided diagnostic system and algorithms essential for an analysis of ultrasonic images of finger joints are main scientific output of the MEDUSA project. Medusa Evaluation System prototype uses bone, skin, joint and synovitis area detectors for mutual structural model based evaluation of synovitis. Finally, several algorithms that support the semi-automatic or automatic detection of the bone region were prepared as well as a system that uses the statistical data processing approach in order to automatically localize the regions of interest.<br \/>\n<b>Conclusions<\/b>: Semiquantitative ultrasound with power Doppler is a reliable and widely used method of assessing synovitis. Activity score is estimated on the basis of the examiner\u2019s experience and the result can be affected by a human error. In this paper we presented the MEDUSA project which is focused on a computer aided diagnostic system that supports an assessment of synovitis severity.<\/jats:p>","DOI":"10.5114\/reum.2016.63664","type":"journal-article","created":{"date-parts":[[2017,2,15]],"date-time":"2017-02-15T10:38:10Z","timestamp":1487155090000},"page":"239-242","source":"Crossref","is-referenced-by-count":16,"title":["Automated assessment of joint synovitis activity from medical ultrasound and power doppler examinations using image processing and machine learning methods"],"prefix":"10.5114","volume":"54","author":[{"given":"Rafal","family":"Cupek","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Adam","family":"Zi\u0119bi\u0144ski","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"3061","published-online":{"date-parts":[[2016,11,28]]},"reference":[{"key":"ref-797318","unstructured":"Wojciechowski K, Smolka B, Cupek R, et al. A machine-learning approach to the automated assessment of joint synovitis activity. In: International Conference on Computational Collective Intelligence. 8th International Conference, ICCCI 2016, Halkidiki, Greece, September 28-30, 2016. Proceedings, Part II. Springer International Publishing 2016; 440-450."},{"key":"ref-797319","doi-asserted-by":"crossref","unstructured":"Radlak K, Radlak N, Smolka B. Automatic detection of bones based on the confidence map for rheumatoid arthritis analysis. In: Computational Vision and Medical Image Processing V. Tavares J, Jorge N (eds.). Taylor and Francis Group, Abington 2007; 215-220.","DOI":"10.1201\/b19241-36"},{"key":"ref-797320","doi-asserted-by":"crossref","unstructured":"Smolka B. On the robustified median filter for the reduction of impulsive noise in digital images. In: 10th International Conference on Mathematical Problems in Engineering, Aerospace and Sciences: ICNPAA 2014. Vol. 1637. No. 1. AIP Publishing, 2014.","DOI":"10.1063\/1.4904674"},{"key":"ref-797321","doi-asserted-by":"publisher","DOI":"10.1201\/b19241-28"},{"key":"ref-797322","doi-asserted-by":"crossref","unstructured":"Segen J, Kulbacki M, Wereszczy\u0144ski K. Registration of ultrasound images for automated assessment of synovitis activity. In: Asian Conference on Intelligent Information and Database Systems. Springer International Publishing 2015; 307-316.","DOI":"10.1007\/978-3-319-15705-4_30"},{"key":"ref-797323","doi-asserted-by":"crossref","unstructured":"Wereszczy\u0144ski K, Segen J, Kulbacki M, et al. Identifying a joint in medical ultrasound images using trained classifiers. In: International Conference on Computer Vision and Graphics. Springer International Publishing 2014; 626-635.","DOI":"10.1007\/978-3-319-11331-9_75"},{"key":"ref-797324","doi-asserted-by":"crossref","unstructured":"Kulbacki M, Segen J, Habela P, et al. Collaborative tool for annotation of synovitis and assessment in ultrasound images. In: International Conference on Computer Vision and Graphics. Springer International Publishing 2014; 364-373.","DOI":"10.1007\/978-3-319-11331-9_44"},{"key":"ref-797325","doi-asserted-by":"crossref","unstructured":"McNally EG. Ultrasound of the small joints of the hands and feet: current status. Skeletal Radiol 2008; 37: 99-113.","DOI":"10.1007\/s00256-007-0356-9"},{"key":"ref-797326","unstructured":"Salaffi F, Gutierrez M, Carotti M. Ultrasound versus<\/i> conventional radiography in the assessment of bone erosions in rheumatoid arthritis. Clin Exp Rheumatol 2014; 32 (1 Suppl 80): S85-S90."}],"container-title":["Rheumatology"],"original-title":[],"link":[{"URL":"https:\/\/reu.termedia.pl\/pdf-66558-86402","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/reu.termedia.pl\/pdf-66558-86402","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,1,30]],"date-time":"2023-01-30T20:55:49Z","timestamp":1675112149000},"score":1,"resource":{"primary":{"URL":"https:\/\/reu.termedia.pl\/Automated-assessment-of-joint-synovitis-activity-from-medical-ultrasound-and-power,66558,0,2.html"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,10,28]]},"references-count":9,"journal-issue":{"issue":"5","published-print":{"date-parts":[[2016]]}},"alternative-id":["66558"],"URL":"https:\/\/doi.org\/10.5114\/reum.2016.63664","relation":{},"ISSN":["0034-6233","2084-9834"],"issn-type":[{"value":"0034-6233","type":"print"},{"value":"2084-9834","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016,10,28]]}}}