Three-dimensional (3D) full-field measurements provide a comprehensive and accurate validation of finite element (FE) models. For the validation, the result of the model and measurements are compared based on two respective point-sets and this requires the point-sets to be registered in one coordinate system. Point-set registration is a non-convex optimization problem that has widely been solved by the ordinary iterative closest point algorithm. However, this approach necessitates a good initialization without which it easily returns a local optimum, i.e. an erroneous registration. The globally optimal iterative closest point (Go-ICP) algorithm has overcome this drawback and forms the basis for the presented open-source tool that can be used for the validation of FE models using 3D full-field measurements. The capability of the tool is demonstrated using an application example from the field of biomechanics. Methodological problems that arise in real-world data and the respective implemented solution approaches are discussed.
%0 Journal Article
%1 Abel2020
%A Abel, Alexander
%A Kahmann, Stephanie L.
%A Mellon, Stephen
%A Staat, Manfred
%A Jung, Alexander
%D 2020
%J Medical Engineering & Physics
%K (DIC),Global 3D bone correlation image optimization,Synthetic point-set registration,Biomechanics,Digital
%P 125--129
%R 10.1016/j.medengphy.2019.10.015
%T An open-source tool for the validation of finite element models using three-dimensional full-field measurements
%U https://linkinghub.elsevier.com/retrieve/pii/S1350453319302437 http://www.ncbi.nlm.nih.gov/pubmed/31952915
%V 77
%X Three-dimensional (3D) full-field measurements provide a comprehensive and accurate validation of finite element (FE) models. For the validation, the result of the model and measurements are compared based on two respective point-sets and this requires the point-sets to be registered in one coordinate system. Point-set registration is a non-convex optimization problem that has widely been solved by the ordinary iterative closest point algorithm. However, this approach necessitates a good initialization without which it easily returns a local optimum, i.e. an erroneous registration. The globally optimal iterative closest point (Go-ICP) algorithm has overcome this drawback and forms the basis for the presented open-source tool that can be used for the validation of FE models using 3D full-field measurements. The capability of the tool is demonstrated using an application example from the field of biomechanics. Methodological problems that arise in real-world data and the respective implemented solution approaches are discussed.
@article{Abel2020,
abstract = {Three-dimensional (3D) full-field measurements provide a comprehensive and accurate validation of finite element (FE) models. For the validation, the result of the model and measurements are compared based on two respective point-sets and this requires the point-sets to be registered in one coordinate system. Point-set registration is a non-convex optimization problem that has widely been solved by the ordinary iterative closest point algorithm. However, this approach necessitates a good initialization without which it easily returns a local optimum, i.e. an erroneous registration. The globally optimal iterative closest point (Go-ICP) algorithm has overcome this drawback and forms the basis for the presented open-source tool that can be used for the validation of FE models using 3D full-field measurements. The capability of the tool is demonstrated using an application example from the field of biomechanics. Methodological problems that arise in real-world data and the respective implemented solution approaches are discussed.},
added-at = {2022-03-22T23:17:08.000+0100},
author = {Abel, Alexander and Kahmann, Stephanie L. and Mellon, Stephen and Staat, Manfred and Jung, Alexander},
biburl = {https://www.bibsonomy.org/bibtex/28f43df20891b822f413fa723b0db9207/staat},
doi = {10.1016/j.medengphy.2019.10.015},
interhash = {a359b6f4bb1db63fbd9f25561c23b70c},
intrahash = {8f43df20891b822f413fa723b0db9207},
issn = {1873-4030},
journal = {Medical Engineering & Physics},
keywords = {(DIC),Global 3D bone correlation image optimization,Synthetic point-set registration,Biomechanics,Digital},
month = jan,
pages = {125--129},
pmid = {31952915},
timestamp = {2022-03-22T23:17:08.000+0100},
title = {{An open-source tool for the validation of finite element models using three-dimensional full-field measurements}},
url = {https://linkinghub.elsevier.com/retrieve/pii/S1350453319302437 http://www.ncbi.nlm.nih.gov/pubmed/31952915},
volume = 77,
year = 2020
}