Automatic Detection of Cervical Vertebral Landmarks for Fluoroscopic Joint Motion Analysis

Ida Marie Groth Jakobsen, Maciej Plocharski

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

2 Citationer (Scopus)

Abstrakt

Real-time motion assessment of the cervical spine provides an understanding of its mechanics and reveals abnormalities in its motion patterns. In this paper we propose a vertebral segmentation approach to automatically identify the vertebral landmarks for cervical joint motion analysis using videofluoroscopy. Our method matches a template to the vertebral bodies, identified using two parallel segmentation approaches, and validates the results through comparison to manually annotated landmarks. The algorithm identified the vertebral corners with an average detection error under five pixels in the C3–C6 vertebrae, with the lowest average error of 1.65 pixels in C4. C7 yielded the largest average error of 6.15 pixels. No significant difference was observed between the intervertebral angles computed using the manually annotated and automatically detected landmarks ($$p>0.05$$). The proposed method does not require large amounts of data for training, eliminates the necessity for manual annotations, and allows for real-time intervertebral motion analysis of the cervical spine.
OriginalsprogEngelsk
TitelImage Analysis : 21st Scandinavian Conference, SCIA 2019, Norrköping, Sweden, June 11–13, 2019, Proceedings
RedaktørerIda-Maria Sintorn, Michael Felsberg, Per-Erik Forssén, Jonas Unger
Antal sider12
ForlagSpringer
Publikationsdato2019
Sider209-220
ISBN (Trykt)978-3-030-20204-0
ISBN (Elektronisk)978-3-030-20205-7
DOI
StatusUdgivet - 2019
Begivenhed21st Scandinavian Conference on Image Analysis, SCIA 2019 - Norrköping, Sverige
Varighed: 11 jun. 201913 jun. 2019

Konference

Konference21st Scandinavian Conference on Image Analysis, SCIA 2019
LandSverige
ByNorrköping
Periode11/06/201913/06/2019
NavnLecture Notes in Computer Science
Vol/bind11482
ISSN0302-9743

Citationsformater

Jakobsen, I. M. G., & Plocharski, M. (2019). Automatic Detection of Cervical Vertebral Landmarks for Fluoroscopic Joint Motion Analysis. I I-M. Sintorn, M. Felsberg, P-E. Forssén, & J. Unger (red.), Image Analysis : 21st Scandinavian Conference, SCIA 2019, Norrköping, Sweden, June 11–13, 2019, Proceedings (s. 209-220). Springer. Lecture Notes in Computer Science, Bind. 11482 https://doi.org/10.1007/978-3-030-20205-7_18