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Research Papers

An Approach for Generating an Average Bone Template With Semantic Parameters

[+] Author and Article Information
Kunjin He

Changzhou City Key Lab of
Orthopedic Implants Digital Technology,
College of IOT Engineering,
Hohai University,
Changzhou 213022, China;
ECE Department,
University of New Mexico,
Albuquerque, NM 87131-0001
e-mail: hekunjin123@unm.edu; kjinhe@163.com

Rongli Zhang

College of IOT Engineering,
Hohai University,
Changzhou 213022, China

Zhengming Chen

Professor
Changzhou City Key Lab of
Orthopedic Implants Digital Technology,
College of IOT Engineering,
Hohai University,
Changzhou 213022, China

Junfeng Jiang

Changzhou City Key Lab of
Orthopedic Implants Digital Technology,
College of IOT Engineering,
Hohai University,
Changzhou 213022, China

Zhang Yuming

ECE Department,
University of New Mexico,
Albuquerque, NM 87131-0001

1Corresponding author.

Manuscript received May 23, 2016; final manuscript received February 14, 2017; published online June 27, 2017. Assoc. Editor: Chris Rylander.

J. Med. Devices 11(3), 031004 (Jun 27, 2017) (7 pages) Paper No: MED-16-1225; doi: 10.1115/1.4036025 History: Received May 23, 2016; Revised February 14, 2017

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

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Copyright © 2017 by ASME
Topics: Bone , Deformation
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Figures

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Fig. 1

Designing a type of orthopedic plate and their serialized plates based on average template: (a) average tibia and a type of serialized plate and (b) average femur and a type of serialized plate

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Fig. 2

The flowchart of averaging bone template with semantic parameters

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Fig. 3

Any two bone models into one group to generate an average model by registration and deformation

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Fig. 4

The existing bones are partitioned into many groups and each group has two bone models to meet the registration and nonrigid deformation

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Fig. 5

Define semantic parameters and parameterize femur

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Fig. 6

Deformation of femur model with changing semantic parameter values: (a) average model, (b) Nlnc = +2 mm, (c) H1 = +8 mm, (d) Hr = −2 mm, (e) Ans = −2 deg, (f) average condyle and Ca = +2 deg

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Fig. 8

Parameterization of femur

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