A Simplified Method for Conversion
of Lumbar Spine CT Images
into Three-Dimensional Solid Model
Pushpdant Jain and J. Francis Xavier
Abstract The human spinal column is the most complicated part of the human
musculoskeletal system. It is susceptible to various injuries caused either by impact
loading due to accidents or by multiple sports activities. Different techniques were
developed to cure the patients affected by spine injuries, but the prediction of results
to spinal injury problems is still controversial. In this study, we have identified the
simplest approach to convert the CT images into a three-dimensional solid model. The
present work aims to develop the simplest methodology to convert the CT images into
a surface model of considered vertebral sections L2-L4. In the next step, the surface
model was converted to a solid model. The procedure adopted may be useful to
generate the solid model of other vertebral and various body sections. The approach
may also be utilized to perform various finite element analyses for the development
of novel spinal implants.
1 Introduction
Modelling of intricate shape structure like spinal section is still a challenge yet
promising, with potential to increase the quality for patient’s care. Bianco et al. [1]
compared different screw diameters with variation in length and trajectory in their
experimental analysis. Authors have concluded that the screw diameters plays a vital
role in the identification of stresses at bone screw interface. Chen et al. [2] investigated
Pushpdant Jain would like to dedicate this Chapter to his PhD Supervisor Dr. Mohammed Rajik
Khan, National Institute of Technology, Rourkela and NITR management for all the support and
guidance through out the study.
P. Jain (B) · J. F. Xavier
School of Mechanical Engineering, VIT Bhopal University, Bhopal, Madhya Pradesh 464114,
India
e-mail: pushpdant@gmail.com
J. F. Xavier
e-mail: francis.xj@vitbhopal.ac.in
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2021
A. K. Parwani et al. (eds.), Recent Advances in Mechanical Infrastructure,
Lecture Notes in Intelligent Transportation and Infrastructure,
https://doi.org/10.1007/978-981-33-4176-0_41
485
of Lumbar Spine CT Images
into Three-Dimensional Solid Model
Pushpdant Jain and J. Francis Xavier
Abstract The human spinal column is the most complicated part of the human
musculoskeletal system. It is susceptible to various injuries caused either by impact
loading due to accidents or by multiple sports activities. Different techniques were
developed to cure the patients affected by spine injuries, but the prediction of results
to spinal injury problems is still controversial. In this study, we have identified the
simplest approach to convert the CT images into a three-dimensional solid model. The
present work aims to develop the simplest methodology to convert the CT images into
a surface model of considered vertebral sections L2-L4. In the next step, the surface
model was converted to a solid model. The procedure adopted may be useful to
generate the solid model of other vertebral and various body sections. The approach
may also be utilized to perform various finite element analyses for the development
of novel spinal implants.
1 Introduction
Modelling of intricate shape structure like spinal section is still a challenge yet
promising, with potential to increase the quality for patient’s care. Bianco et al. [1]
compared different screw diameters with variation in length and trajectory in their
experimental analysis. Authors have concluded that the screw diameters plays a vital
role in the identification of stresses at bone screw interface. Chen et al. [2] investigated
Pushpdant Jain would like to dedicate this Chapter to his PhD Supervisor Dr. Mohammed Rajik
Khan, National Institute of Technology, Rourkela and NITR management for all the support and
guidance through out the study.
P. Jain (B) · J. F. Xavier
School of Mechanical Engineering, VIT Bhopal University, Bhopal, Madhya Pradesh 464114,
India
e-mail: pushpdant@gmail.com
J. F. Xavier
e-mail: francis.xj@vitbhopal.ac.in
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2021
A. K. Parwani et al. (eds.), Recent Advances in Mechanical Infrastructure,
Lecture Notes in Intelligent Transportation and Infrastructure,
https://doi.org/10.1007/978-981-33-4176-0_41
485