TY - JOUR
T1 - Validation of an automated shape-matching algorithm for biplane radiographic spine osteokinematics and radiostereometric analysis error quantification
AU - Kage, Craig C.
AU - Akbari-Shandiz, Mohsen
AU - Foltz, Mary H.
AU - Lawrence, Rebekah L.
AU - Brandon, Taycia L.
AU - Helwig, Nathaniel E.
AU - Ellingson, Arin M.
N1 - Publisher Copyright:
© 2020 Kage et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
PY - 2020/2/1
Y1 - 2020/2/1
N2 - Biplane radiography and associated shape-matching provides non-invasive, dynamic, 3D osteo- and arthrokinematic analysis. Due to the complexity of data acquisition, each system should be validated for the anatomy of interest. The purpose of this study was to assess our system’s acquisition methods and validate a custom, automated 2D/3D shape-matching algorithm relative to radiostereometric analysis (RSA) for the cervical and lumbar spine. Additionally, two sources of RSA error were examined via a Monte Carlo simulation: 1) static bead centroid identification and 2) dynamic bead tracking error. Tantalum beads were implanted into a cadaver for RSA and cervical and lumbar spine flexion and lateral bending were passively simulated. A bead centroid identification reliability analysis was performed and a vertebral validation block was used to determine bead tracking accuracy. Our system’s overall root mean square error (RMSE) for the cervical spine ranged between 0.21–0.49mm and 0.42–1.80o and the lumbar spine ranged between 0.35–1.17mm and 0.49–1.06o. The RMSE associated with RSA ranged between 0.14–0.69mm and 0.96–2.33o for bead centroid identification and 0.25–1.19mm and 1.69–4.06o for dynamic bead tracking. The results of this study demonstrate our system’s ability to accurately quantify segmental spine motion. Additionally, RSA errors should be considered when interpreting biplane validation results.
AB - Biplane radiography and associated shape-matching provides non-invasive, dynamic, 3D osteo- and arthrokinematic analysis. Due to the complexity of data acquisition, each system should be validated for the anatomy of interest. The purpose of this study was to assess our system’s acquisition methods and validate a custom, automated 2D/3D shape-matching algorithm relative to radiostereometric analysis (RSA) for the cervical and lumbar spine. Additionally, two sources of RSA error were examined via a Monte Carlo simulation: 1) static bead centroid identification and 2) dynamic bead tracking error. Tantalum beads were implanted into a cadaver for RSA and cervical and lumbar spine flexion and lateral bending were passively simulated. A bead centroid identification reliability analysis was performed and a vertebral validation block was used to determine bead tracking accuracy. Our system’s overall root mean square error (RMSE) for the cervical spine ranged between 0.21–0.49mm and 0.42–1.80o and the lumbar spine ranged between 0.35–1.17mm and 0.49–1.06o. The RMSE associated with RSA ranged between 0.14–0.69mm and 0.96–2.33o for bead centroid identification and 0.25–1.19mm and 1.69–4.06o for dynamic bead tracking. The results of this study demonstrate our system’s ability to accurately quantify segmental spine motion. Additionally, RSA errors should be considered when interpreting biplane validation results.
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U2 - 10.1371/journal.pone.0228594
DO - 10.1371/journal.pone.0228594
M3 - Article
C2 - 32059007
AN - SCOPUS:85079417492
SN - 1932-6203
VL - 15
JO - PloS one
JF - PloS one
IS - 2
M1 - e0228594
ER -