Validation of an automated shape-matching algorithm for biplane radiographic spine osteokinematics and radiostereometric analysis error quantification.
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 meth...
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2020-01-01
|
| Series: | PLoS ONE |
| Online Access: | https://doi.org/10.1371/journal.pone.0228594 |
| _version_ | 1818833452392251392 |
|---|---|
| author | Craig C Kage Mohsen Akbari-Shandiz Mary H Foltz Rebekah L Lawrence Taycia L Brandon Nathaniel E Helwig Arin M Ellingson |
| author_facet | Craig C Kage Mohsen Akbari-Shandiz Mary H Foltz Rebekah L Lawrence Taycia L Brandon Nathaniel E Helwig Arin M Ellingson |
| author_sort | Craig C Kage |
| collection | DOAJ |
| description | 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 0.42-1.80° and the lumbar spine ranged between 0.35-1.17mm and 0.49-1.06°. The RMSE associated with RSA ranged between 0.14-0.69mm and 0.96-2.33° for bead centroid identification and 0.25-1.19mm and 1.69-4.06° 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. |
| first_indexed | 2024-12-19T02:19:09Z |
| format | Article |
| id | doaj.art-984c67b811374aa2bee29647e3da45d2 |
| institution | Directory Open Access Journal |
| issn | 1932-6203 |
| language | English |
| last_indexed | 2024-12-19T02:19:09Z |
| publishDate | 2020-01-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS ONE |
| spelling | doaj.art-984c67b811374aa2bee29647e3da45d22022-12-21T20:40:17ZengPublic Library of Science (PLoS)PLoS ONE1932-62032020-01-01152e022859410.1371/journal.pone.0228594Validation of an automated shape-matching algorithm for biplane radiographic spine osteokinematics and radiostereometric analysis error quantification.Craig C KageMohsen Akbari-ShandizMary H FoltzRebekah L LawrenceTaycia L BrandonNathaniel E HelwigArin M EllingsonBiplane 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 0.42-1.80° and the lumbar spine ranged between 0.35-1.17mm and 0.49-1.06°. The RMSE associated with RSA ranged between 0.14-0.69mm and 0.96-2.33° for bead centroid identification and 0.25-1.19mm and 1.69-4.06° 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.https://doi.org/10.1371/journal.pone.0228594 |
| spellingShingle | Craig C Kage Mohsen Akbari-Shandiz Mary H Foltz Rebekah L Lawrence Taycia L Brandon Nathaniel E Helwig Arin M Ellingson Validation of an automated shape-matching algorithm for biplane radiographic spine osteokinematics and radiostereometric analysis error quantification. PLoS ONE |
| title | Validation of an automated shape-matching algorithm for biplane radiographic spine osteokinematics and radiostereometric analysis error quantification. |
| title_full | Validation of an automated shape-matching algorithm for biplane radiographic spine osteokinematics and radiostereometric analysis error quantification. |
| title_fullStr | Validation of an automated shape-matching algorithm for biplane radiographic spine osteokinematics and radiostereometric analysis error quantification. |
| title_full_unstemmed | Validation of an automated shape-matching algorithm for biplane radiographic spine osteokinematics and radiostereometric analysis error quantification. |
| title_short | Validation of an automated shape-matching algorithm for biplane radiographic spine osteokinematics and radiostereometric analysis error quantification. |
| title_sort | validation of an automated shape matching algorithm for biplane radiographic spine osteokinematics and radiostereometric analysis error quantification |
| url | https://doi.org/10.1371/journal.pone.0228594 |
| work_keys_str_mv | AT craigckage validationofanautomatedshapematchingalgorithmforbiplaneradiographicspineosteokinematicsandradiostereometricanalysiserrorquantification AT mohsenakbarishandiz validationofanautomatedshapematchingalgorithmforbiplaneradiographicspineosteokinematicsandradiostereometricanalysiserrorquantification AT maryhfoltz validationofanautomatedshapematchingalgorithmforbiplaneradiographicspineosteokinematicsandradiostereometricanalysiserrorquantification AT rebekahllawrence validationofanautomatedshapematchingalgorithmforbiplaneradiographicspineosteokinematicsandradiostereometricanalysiserrorquantification AT taycialbrandon validationofanautomatedshapematchingalgorithmforbiplaneradiographicspineosteokinematicsandradiostereometricanalysiserrorquantification AT nathanielehelwig validationofanautomatedshapematchingalgorithmforbiplaneradiographicspineosteokinematicsandradiostereometricanalysiserrorquantification AT arinmellingson validationofanautomatedshapematchingalgorithmforbiplaneradiographicspineosteokinematicsandradiostereometricanalysiserrorquantification |