Finger joint detection vision algorithm for autonomous rheumatoid ultrasound scan

Publikation: Bidrag til bog/antologi/rapport/konference-proceedingKonferencebidrag i proceedingsForskningpeer review

Resumé

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

Fingeraftryk

Ultrasonics
Cameras
Robots
Scanning
Monitoring
Rheumatology

Citer dette

Iversen, N., Just, S. A., & Savarimuthu, T. R. (2019). Finger joint detection vision algorithm for autonomous rheumatoid ultrasound scan. I N. A. Aspragathos, P. N. Koustoumpardis, & V. C. Moulianitis (red.), Advances in Service and Industrial Robotics: Proceedings of the 27th International Conference on Robotics in Alpe-Adria Danube Region (RAAD 2018) (s. 538-550). Springer. Mechanisms and Machine Science, Bind. 67 https://doi.org/10.1007/978-3-030-00232-9_57
Iversen, Nikolaj ; Just, Søren Andreas ; Savarimuthu, Thiusius Rajeeth. / Finger joint detection vision algorithm for autonomous rheumatoid ultrasound scan. Advances in Service and Industrial Robotics: Proceedings of the 27th International Conference on Robotics in Alpe-Adria Danube Region (RAAD 2018). red. / Nikos A. Aspragathos ; Panagiotis N. Koustoumpardis ; Vassilis C. Moulianitis. Springer, 2019. s. 538-550 (Mechanisms and Machine Science, Bind 67).
@inproceedings{7c99cfda6a964361a8ada972a71188b4,
title = "Finger joint detection vision algorithm for autonomous rheumatoid ultrasound scan",
abstract = "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.",
keywords = "Computer vision, Finger joint detection, Medical robot, Rheumatioid arthritis, Ultrasound",
author = "Nikolaj Iversen and Just, {S{\o}ren Andreas} and Savarimuthu, {Thiusius Rajeeth}",
year = "2019",
doi = "10.1007/978-3-030-00232-9_57",
language = "English",
isbn = "9783030002312",
pages = "538--550",
editor = "Aspragathos, {Nikos A.} and Koustoumpardis, {Panagiotis N.} and Moulianitis, {Vassilis C.}",
booktitle = "Advances in Service and Industrial Robotics",
publisher = "Springer",
address = "Germany",

}

Iversen, N, Just, SA & Savarimuthu, TR 2019, Finger joint detection vision algorithm for autonomous rheumatoid ultrasound scan. i NA Aspragathos, PN Koustoumpardis & VC Moulianitis (red), Advances in Service and Industrial Robotics: Proceedings of the 27th International Conference on Robotics in Alpe-Adria Danube Region (RAAD 2018). Springer, Mechanisms and Machine Science, bind 67, s. 538-550, 27th International Conference on Robotics in Alpe-Adria-Danube Region, Patras, Grækenland, 06/06/2018. https://doi.org/10.1007/978-3-030-00232-9_57

Finger joint detection vision algorithm for autonomous rheumatoid ultrasound scan. / Iversen, Nikolaj; Just, Søren Andreas; Savarimuthu, Thiusius Rajeeth.

Advances in Service and Industrial Robotics: Proceedings of the 27th International Conference on Robotics in Alpe-Adria Danube Region (RAAD 2018). red. / Nikos A. Aspragathos; Panagiotis N. Koustoumpardis; Vassilis C. Moulianitis. Springer, 2019. s. 538-550 (Mechanisms and Machine Science, Bind 67).

Publikation: Bidrag til bog/antologi/rapport/konference-proceedingKonferencebidrag i proceedingsForskningpeer review

TY - GEN

T1 - Finger joint detection vision algorithm for autonomous rheumatoid ultrasound scan

AU - Iversen, Nikolaj

AU - Just, Søren Andreas

AU - Savarimuthu, Thiusius Rajeeth

PY - 2019

Y1 - 2019

N2 - 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.

AB - 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.

KW - Computer vision

KW - Finger joint detection

KW - Medical robot

KW - Rheumatioid arthritis

KW - Ultrasound

U2 - 10.1007/978-3-030-00232-9_57

DO - 10.1007/978-3-030-00232-9_57

M3 - Article in proceedings

SN - 9783030002312

SP - 538

EP - 550

BT - Advances in Service and Industrial Robotics

A2 - Aspragathos, Nikos A.

A2 - Koustoumpardis, Panagiotis N.

A2 - Moulianitis, Vassilis C.

PB - Springer

ER -

Iversen N, Just SA, Savarimuthu TR. Finger joint detection vision algorithm for autonomous rheumatoid ultrasound scan. I Aspragathos NA, Koustoumpardis PN, Moulianitis VC, red., Advances in Service and Industrial Robotics: Proceedings of the 27th International Conference on Robotics in Alpe-Adria Danube Region (RAAD 2018). Springer. 2019. s. 538-550. (Mechanisms and Machine Science, Bind 67). https://doi.org/10.1007/978-3-030-00232-9_57