Development and validation of a semi-automatic landmark extraction method for mesh morphing.

Currently, landmark-based mesh morphing technology is widely used to rapidly obtain meshes with specific geometry, which is suitable to develop parametric human finite element (FE) models. However it takes too much time for landmark extraction to obtain high geometric accuracy. The purpose of this study is to develop and validate a semi-automatic landmark extraction method to reduce the time of manual selection of landmarks without sacrificing the accuracy of identifying landmarks in the process of mesh morphing. A few contour edge landmarks were extracted manually. Mathematical landmarks and pseudo-landmarks were extracted automatically by user-defined algorithm. The radial basis function (RBF) was used to morph the baseline FE model into the target geometry based on these landmarks. The cervical vertebra (C5), rib (R7) and femur were selected as the target geometries to verify the effectiveness of the method. The maximum mean geometric error of the three types of target geometries was less than 1 mm. The mesh quality of the morphed FE model was similar to that of the baseline FE model. Compared to the traditional manual method, 2/3 to 3/4 of the time for landmark extraction was saved by the semi-automatic method.

[1]  King H. Yang,et al.  Finite element modelling of 10-year-old child pelvis and lower extremities with growth plates for pedestrian protection , 2015 .

[2]  Matthew P Reed,et al.  An automated method to morph finite element whole-body human models with a wide range of stature and body shape for both men and women. , 2017, Journal of biomechanics.

[3]  Marco Viceconti,et al.  Evaluation of the generality and accuracy of a new mesh morphing procedure for the human femur. , 2011, Medical engineering & physics.

[4]  Richard K. Beatson,et al.  Surface interpolation with radial basis functions for medical imaging , 1997, IEEE Transactions on Medical Imaging.

[5]  King H Yang,et al.  Investigation of pediatric neck response and muscle activation in low-speed frontal impacts , 2015, Computer methods in biomechanics and biomedical engineering.

[6]  Prasanth B. Nair,et al.  Statistical modelling of the whole human femur incorporating geometric and material properties. , 2010, Medical engineering & physics.

[7]  M. Reed,et al.  Impact Response Comparison Between Parametric Human Models and Postmortem Human Subjects with a Wide Range of Obesity Levels , 2017, Obesity.

[8]  Matthew P Reed,et al.  A statistical human rib cage geometry model accounting for variations by age, sex, stature and body mass index. , 2014, Journal of biomechanics.

[9]  Benoît Besnault,et al.  A PARAMETRIC FINITE ELEMENT MODEL OF THE HUMAN PELVIS , 1998 .

[10]  King H. Yang,et al.  Experimental validation of pediatric thorax finite element model under dynamic loading condition and analysis of injury , 2013 .

[11]  A Ramos,et al.  Tetrahedral versus hexahedral finite elements in numerical modelling of the proximal femur. , 2006, Medical engineering & physics.

[12]  Matthew P. Reed,et al.  Focusing on Vulnerable Populations in Crashes: Recent Advances in Finite Element Human Models for Injury Biomechanics Research , 2012 .

[13]  Matthew P. Reed,et al.  Development, Validation, and Application of a Parametric Pediatric Head Finite Element Model for Impact Simulations , 2011, Annals of Biomedical Engineering.

[14]  Y Payan,et al.  The mesh-matching algorithm: an automatic 3D mesh generator for finite element structures. , 2000, Journal of biomechanics.

[15]  Hao Ge,et al.  A semi-automatic method of generating subject-specific pediatric head finite element models for impact dynamic responses to head injury. , 2016, Journal of the mechanical behavior of biomedical materials.

[16]  Matthew P. Reed,et al.  Rapid Development of Diverse Human Body Models for Crash Simulations through Mesh Morphing , 2016 .

[17]  Yohan Payan,et al.  A fast and robust patient specific Finite Element mesh registration technique: Application to 60 clinical cases , 2010, Medical Image Anal..

[18]  King H. Yang,et al.  Development of a 10-year-old paediatric thorax finite element model validated against cardiopulmonary resuscitation data , 2014, Computer methods in biomechanics and biomedical engineering.

[19]  Matthew P. Reed,et al.  A Statistical Skull Geometry Model for Children 0-3 Years Old , 2015, PloS one.

[20]  Matthew P Reed,et al.  A parametric ribcage geometry model accounting for variations among the adult population. , 2016, Journal of biomechanics.

[21]  King H. Yang,et al.  Development and Validation of a 10-Year-Old Child Ligamentous Cervical Spine Finite Element Model , 2013, Annals of Biomedical Engineering.

[22]  Matthew P. Reed,et al.  Development and Validation of Statistical Models of Femur Geometry for Use with Parametric Finite Element Models , 2015, Annals of Biomedical Engineering.