Finger joint detection vision algorithm for autonomous rheumatoid ultrasound scan

Nikolaj Iversen*, Søren Andreas Just, Thiusius Rajeeth Savarimuthu

*Kontaktforfatter for dette arbejde

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Abstrakt

The use of ultrasound scanning in rheumatology has been shown to be a sensitive and specific modality for assessing joint disease. It is used for both detection of early signs of disease and determination of arthritis activity in established disease. In order to improve the monitoring and treatment of arthritis patients, an automated system to scan the joints of the wrist and hand is developed. In this paper, a vision algorithm used to locate the joints from a camera is proposed. The joints are found by using a global approach combined with a geometric analysis of the image. The algorithm is used on a platform where a robot arm can move an ultrasound probe to the joints. The overall detection rate is 92% with the majority of variance found along the finger.

OriginalsprogEngelsk
TitelAdvances in Service and Industrial Robotics : Proceedings of the 27th International Conference on Robotics in Alpe-Adria Danube Region (RAAD 2018)
RedaktørerNikos A. Aspragathos, Panagiotis N. Koustoumpardis, Vassilis C. Moulianitis
ForlagSpringer
Publikationsdato2019
Sider538-550
ISBN (Trykt)9783030002312
ISBN (Elektronisk)9783030002329
DOI
StatusUdgivet - 2019
Begivenhed27th International Conference on Robotics in Alpe-Adria-Danube Region - Conference & Cultural Center of University of Patras, Patras, Grækenland
Varighed: 6. jun. 20188. jun. 2018

Konference

Konference27th International Conference on Robotics in Alpe-Adria-Danube Region
LokationConference & Cultural Center of University of Patras
LandGrækenland
ByPatras
Periode06/06/201808/06/2018
NavnMechanisms and Machine Science
Vol/bind67
ISSN2211-0984

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