loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Guillaume Pascal 1 ; Andreas Møgelmose 1 and Andreas Kappel 2 ; 3

Affiliations: 1 Visual Analysis of People Laboratory, Aalborg University, Denmark ; 2 Department of Clinical Medicine, Aalborg University, Denmark ; 3 Interdisciplinary Orthopaedics, Aalborg University Hospital, Denmark

Keyword(s): Radiograph, Total Knee Arthroplasty, Medical Image Processing.

Abstract: In this paper we present a method for automatically computing the angles between bones and implants after a knee replacement surgery (Total Knee Arthroplasty, TKA), along with the world’s first public dataset of TKA radiographs, complete with ground truth angle annotations. We use the Radon transform to determine the angles of the relevant bones and implants, and obtain 94.9% measurements within 2º. This beats the current state-of-the-art by 2.9%. The system is thus ready to be used in assisting surgeons and replacing time consuming and observer dependent manual measurements.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.138.126.124

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Pascal, G.; Møgelmose, A. and Kappel, A. (2021). Evaluation of Knee Implant Alignment using Radon Transformation. In Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2021) - Volume 4: VISAPP; ISBN 978-989-758-488-6; ISSN 2184-4321, SciTePress, pages 587-594. DOI: 10.5220/0010192405870594

@conference{visapp21,
author={Guillaume Pascal. and Andreas Møgelmose. and Andreas Kappel.},
title={Evaluation of Knee Implant Alignment using Radon Transformation},
booktitle={Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2021) - Volume 4: VISAPP},
year={2021},
pages={587-594},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010192405870594},
isbn={978-989-758-488-6},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 16th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2021) - Volume 4: VISAPP
TI - Evaluation of Knee Implant Alignment using Radon Transformation
SN - 978-989-758-488-6
IS - 2184-4321
AU - Pascal, G.
AU - Møgelmose, A.
AU - Kappel, A.
PY - 2021
SP - 587
EP - 594
DO - 10.5220/0010192405870594
PB - SciTePress

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic