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A robust method for automatic identification of landmarks on surface models of the pelvis

The recognition of bony landmarks of the pelvis is a required operation in patient-specific orthopedics, subject-specific biomechanics or morphometrics. A fully automatic detection is preferable to a subjective and time-consuming manual identification. In this paper, a new approach, called the itera...

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Autores principales: Fischer, Maximilian C. M., Krooß, Felix, Habor, Juliana, Radermacher, Klaus
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6746744/
https://www.ncbi.nlm.nih.gov/pubmed/31527599
http://dx.doi.org/10.1038/s41598-019-49573-4
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author Fischer, Maximilian C. M.
Krooß, Felix
Habor, Juliana
Radermacher, Klaus
author_facet Fischer, Maximilian C. M.
Krooß, Felix
Habor, Juliana
Radermacher, Klaus
author_sort Fischer, Maximilian C. M.
collection PubMed
description The recognition of bony landmarks of the pelvis is a required operation in patient-specific orthopedics, subject-specific biomechanics or morphometrics. A fully automatic detection is preferable to a subjective and time-consuming manual identification. In this paper, a new approach, called the iterative tangential plane (ITP) method, for fully automatic identification of landmarks on surface models of the pelvis is introduced. The method includes the landmarks to construct the two most established anatomical reference frames of the pelvis: the anterior pelvic plane (APP) coordinate system and superior inferior spine plane (SISP) coordinate system. The ITP method proved to be robust against the initial alignment of the pelvis in space. A comparison to a manual identification was performed that showed minor but significant (p < 0.05) median differences below 3 mm for the position of the landmarks and below 1° for the orientation of the APP coordinate system. Whether these differences are acceptable, has to be evaluated for each specific use case. There were no significant differences for the orientation of the SISP coordinate system recommended by the International Society of Biomechanics.
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spelling pubmed-67467442019-09-27 A robust method for automatic identification of landmarks on surface models of the pelvis Fischer, Maximilian C. M. Krooß, Felix Habor, Juliana Radermacher, Klaus Sci Rep Article The recognition of bony landmarks of the pelvis is a required operation in patient-specific orthopedics, subject-specific biomechanics or morphometrics. A fully automatic detection is preferable to a subjective and time-consuming manual identification. In this paper, a new approach, called the iterative tangential plane (ITP) method, for fully automatic identification of landmarks on surface models of the pelvis is introduced. The method includes the landmarks to construct the two most established anatomical reference frames of the pelvis: the anterior pelvic plane (APP) coordinate system and superior inferior spine plane (SISP) coordinate system. The ITP method proved to be robust against the initial alignment of the pelvis in space. A comparison to a manual identification was performed that showed minor but significant (p < 0.05) median differences below 3 mm for the position of the landmarks and below 1° for the orientation of the APP coordinate system. Whether these differences are acceptable, has to be evaluated for each specific use case. There were no significant differences for the orientation of the SISP coordinate system recommended by the International Society of Biomechanics. Nature Publishing Group UK 2019-09-16 /pmc/articles/PMC6746744/ /pubmed/31527599 http://dx.doi.org/10.1038/s41598-019-49573-4 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Fischer, Maximilian C. M.
Krooß, Felix
Habor, Juliana
Radermacher, Klaus
A robust method for automatic identification of landmarks on surface models of the pelvis
title A robust method for automatic identification of landmarks on surface models of the pelvis
title_full A robust method for automatic identification of landmarks on surface models of the pelvis
title_fullStr A robust method for automatic identification of landmarks on surface models of the pelvis
title_full_unstemmed A robust method for automatic identification of landmarks on surface models of the pelvis
title_short A robust method for automatic identification of landmarks on surface models of the pelvis
title_sort robust method for automatic identification of landmarks on surface models of the pelvis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6746744/
https://www.ncbi.nlm.nih.gov/pubmed/31527599
http://dx.doi.org/10.1038/s41598-019-49573-4
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