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research-article

An approach for generating an average bone template with semantic parameters

[+] Author and Article Information
Kunjin He

Associate Professor College of IOT Engineering, Hohai University Changzhou City Key Lab of Orthopedic Implants Digital Technology, China, 213022 University of New Mexico ECE Department, USA
hekunjin123@unm.edu; kjinhe@163.com

Rongli Zhang

Fellow College of IOT Engineering, Hohai University
kjinhe@163.com

Zhengming Chen

Professor College of IOT Engineering, Hohai University Changzhou City Key Lab of Orthopedic Implants Digital Technology, China, 213022
zmchen65@hotmail.com

Junfeng Jiang

Associate Professor College of IOT Engineering, Hohai University Changzhou City Key Lab of Orthopedic Implants Digital Technology, China, 213022
Jiangjf@hhu.edu.cn

Yuming Zhang

Fellow University of New Mexico ECE Department, USA
yumingzhang@unm.edu

1Corresponding author.

ASME doi:10.1115/1.4036025 History: Received May 23, 2016; Revised February 14, 2017

Abstract

To facilitate the design of the serialized implants to satisfy the requirements of the population, a novel method is put forward for constructing an average bone model (ABM) with semantic parameters as template. Firstly, ABM is created from the existing bone models, among which each bone has an equal contribution to the ABM. Secondly, combined with medical semantics, some characteristic points and semantic parameters are defined on ABM, and then parameter values for each bone can be automatically obtained through its registration and deformation to the ABM. Lastly, an average bone template (ABT) is constructed by configuring the semantic parameters and building the constraints between parameters. Taking 100 femur models as samples, we construct an average bone template, and the template can be easily extended to generate a new average template.

Copyright (c) 2017 by ASME
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