Advanced

Evaluation of the generality and accuracy of a new mesh morphing procedure for the human femur.

Grassi, Lorenzo LU ; Hraiech, Najah; Schileo, Enrico; Ansaloni, Mauro; Rochette, Michel and Viceconti, Marco (2011) In Medical Engineering & Physics 33(1). p.112-120
Abstract
Various papers described mesh morphing techniques for computational biomechanics, but none of them provided a quantitative assessment of generality, robustness, automation, and accuracy in predicting strains. This study aims to quantitatively evaluate the performance of a novel mesh-morphing algorithm. A mesh-morphing algorithm based on radial-basis functions and on manual selection of corresponding landmarks on template and target was developed. The periosteal geometries of 100 femurs were derived from a computed tomography scan database and used to test the algorithm generality in producing finite element (FE) morphed meshes. A published benchmark, consisting of eight femurs for which in vitro strain measurements and standard FE model... (More)
Various papers described mesh morphing techniques for computational biomechanics, but none of them provided a quantitative assessment of generality, robustness, automation, and accuracy in predicting strains. This study aims to quantitatively evaluate the performance of a novel mesh-morphing algorithm. A mesh-morphing algorithm based on radial-basis functions and on manual selection of corresponding landmarks on template and target was developed. The periosteal geometries of 100 femurs were derived from a computed tomography scan database and used to test the algorithm generality in producing finite element (FE) morphed meshes. A published benchmark, consisting of eight femurs for which in vitro strain measurements and standard FE model strain prediction accuracy were available, was used to assess the accuracy of morphed FE models in predicting strains. Relevant parameters were identified to test the algorithm robustness to operative conditions. Time and effort needed were evaluated to define the algorithm degree of automation. Morphing was successful for 95% of the specimens, with mesh quality indicators comparable to those of standard FE meshes. Accuracy of the morphed meshes in predicting strains was good (R(2)>0.9, RMSE%<10%) and not statistically different from the standard meshes (p-value=0.1083). The algorithm was robust to inter- and intra-operator variability, target geometry refinement (p-value>0.05) and partially to the number of landmark used. Producing a morphed mesh starting from the triangularized geometry of the specimen requires on average 10 min. The proposed method is general, robust, automated, and accurate enough to be used in bone FE modelling from diagnostic data, and prospectively in applications such as statistical shape modelling. (Less)
Please use this url to cite or link to this publication:
author
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Bone biomechanics, Femur, Subject-specific finite element model, Mesh morphing, Radial basis function
in
Medical Engineering & Physics
volume
33
issue
1
pages
112 - 120
publisher
Elsevier
external identifiers
  • Scopus:78650938491
ISSN
1873-4030
language
English
LU publication?
no
id
3cf56751-4529-499f-b393-8621e3fe690b (old id 2298284)
alternative location
http://www.sciencedirect.com/science/article/pii/S1350453310002109
date added to LUP
2012-01-20 12:59:30
date last changed
2017-01-01 08:01:37
@article{3cf56751-4529-499f-b393-8621e3fe690b,
  abstract     = {Various papers described mesh morphing techniques for computational biomechanics, but none of them provided a quantitative assessment of generality, robustness, automation, and accuracy in predicting strains. This study aims to quantitatively evaluate the performance of a novel mesh-morphing algorithm. A mesh-morphing algorithm based on radial-basis functions and on manual selection of corresponding landmarks on template and target was developed. The periosteal geometries of 100 femurs were derived from a computed tomography scan database and used to test the algorithm generality in producing finite element (FE) morphed meshes. A published benchmark, consisting of eight femurs for which in vitro strain measurements and standard FE model strain prediction accuracy were available, was used to assess the accuracy of morphed FE models in predicting strains. Relevant parameters were identified to test the algorithm robustness to operative conditions. Time and effort needed were evaluated to define the algorithm degree of automation. Morphing was successful for 95% of the specimens, with mesh quality indicators comparable to those of standard FE meshes. Accuracy of the morphed meshes in predicting strains was good (R(2)&gt;0.9, RMSE%&lt;10%) and not statistically different from the standard meshes (p-value=0.1083). The algorithm was robust to inter- and intra-operator variability, target geometry refinement (p-value&gt;0.05) and partially to the number of landmark used. Producing a morphed mesh starting from the triangularized geometry of the specimen requires on average 10 min. The proposed method is general, robust, automated, and accurate enough to be used in bone FE modelling from diagnostic data, and prospectively in applications such as statistical shape modelling.},
  author       = {Grassi, Lorenzo and Hraiech, Najah and Schileo, Enrico and Ansaloni, Mauro and Rochette, Michel and Viceconti, Marco},
  issn         = {1873-4030},
  keyword      = {Bone biomechanics,Femur,Subject-specific finite element model,Mesh morphing,Radial basis function},
  language     = {eng},
  number       = {1},
  pages        = {112--120},
  publisher    = {Elsevier},
  series       = {Medical Engineering & Physics},
  title        = {Evaluation of the generality and accuracy of a new mesh morphing procedure for the human femur.},
  volume       = {33},
  year         = {2011},
}