Accuracy evaluation of 3D reconstruction of transfemoral residual limb model using basic spline interpolation

Mohd Syahmi Jamaludin, Akihiko Hanafusa

研究成果: Conference article

3 引用 (Scopus)

抄録

In this paper, a study on the accurateness of 3D reconstruction for transfemoral residual limb based on Magnetic Resonance Imaging (MRI) using basic spline (B-Spline) interpolation feature is presented. Many researches have constructed 3D models by using the Non-Uniform Rational B-Spline (NURBS) approach; however, almost none of those studies have elaborated in detail the methodology used in the project and the accuracy of the model’s volume against the residual limb volume. This study focuses on the optimization of the residual limb model’s volume by investigating the effect of spline points on the volume value. This project is divided into 3 phases, namely pre-segmentation, segmentation, and 3D reconstruction. However, this study focuses on the segmentation phase in which four different spline point numbers are chosen, namely 72, 36, 24, and 12 points; CAD software CREO Parametric (PTC) was used for this process. A higher number of spline points achieved greater accuracy for the model’s volume. The volume (mm3) of the 3D model with the specified number of spline points was evaluated by comparing it with the volume of the 3D model created by using image processing tools from MATLAB (Math Works). The results show the increment in accuracy of the volume value when the number of spline points is increased. The highest accuracy in terms of volume value is achieved when the model is created with 72 and 36 spline points, with an average error percentage of 6.36%, which realized the hypothesis. The results indicate that CAD software, which is a technical drawing tool, can also be used in the biomedical field to design 3D models of the human anatomy with high accuracy, if the software includes a spline interpolation feature.

元の言語English
ページ(範囲)675-680
ページ数6
ジャーナルIFMBE Proceedings
68
発行部数2
DOI
出版物ステータスPublished - 2018 1 1
イベントWorld Congress on Medical Physics and Biomedical Engineering, WC 2018 - Prague, Czech Republic
継続期間: 2018 6 32018 6 8

Fingerprint

Splines
Interpolation
Computer aided design
MATLAB
Image processing

ASJC Scopus subject areas

  • Bioengineering
  • Biomedical Engineering

これを引用

Accuracy evaluation of 3D reconstruction of transfemoral residual limb model using basic spline interpolation. / Jamaludin, Mohd Syahmi; Hanafusa, Akihiko.

:: IFMBE Proceedings, 巻 68, 番号 2, 01.01.2018, p. 675-680.

研究成果: Conference article

@article{43bbfac934034f56af90b888015ba6b3,
title = "Accuracy evaluation of 3D reconstruction of transfemoral residual limb model using basic spline interpolation",
abstract = "In this paper, a study on the accurateness of 3D reconstruction for transfemoral residual limb based on Magnetic Resonance Imaging (MRI) using basic spline (B-Spline) interpolation feature is presented. Many researches have constructed 3D models by using the Non-Uniform Rational B-Spline (NURBS) approach; however, almost none of those studies have elaborated in detail the methodology used in the project and the accuracy of the model’s volume against the residual limb volume. This study focuses on the optimization of the residual limb model’s volume by investigating the effect of spline points on the volume value. This project is divided into 3 phases, namely pre-segmentation, segmentation, and 3D reconstruction. However, this study focuses on the segmentation phase in which four different spline point numbers are chosen, namely 72, 36, 24, and 12 points; CAD software CREO Parametric (PTC) was used for this process. A higher number of spline points achieved greater accuracy for the model’s volume. The volume (mm3) of the 3D model with the specified number of spline points was evaluated by comparing it with the volume of the 3D model created by using image processing tools from MATLAB (Math Works). The results show the increment in accuracy of the volume value when the number of spline points is increased. The highest accuracy in terms of volume value is achieved when the model is created with 72 and 36 spline points, with an average error percentage of 6.36{\%}, which realized the hypothesis. The results indicate that CAD software, which is a technical drawing tool, can also be used in the biomedical field to design 3D models of the human anatomy with high accuracy, if the software includes a spline interpolation feature.",
keywords = "3D model, B-Spline, Residual limb, Transfemoral prosthesis",
author = "Jamaludin, {Mohd Syahmi} and Akihiko Hanafusa",
year = "2018",
month = "1",
day = "1",
doi = "10.1007/978-981-10-9038-7_125",
language = "English",
volume = "68",
pages = "675--680",
journal = "IFMBE Proceedings",
issn = "1680-0737",
publisher = "Springer Verlag",
number = "2",

}

TY - JOUR

T1 - Accuracy evaluation of 3D reconstruction of transfemoral residual limb model using basic spline interpolation

AU - Jamaludin, Mohd Syahmi

AU - Hanafusa, Akihiko

PY - 2018/1/1

Y1 - 2018/1/1

N2 - In this paper, a study on the accurateness of 3D reconstruction for transfemoral residual limb based on Magnetic Resonance Imaging (MRI) using basic spline (B-Spline) interpolation feature is presented. Many researches have constructed 3D models by using the Non-Uniform Rational B-Spline (NURBS) approach; however, almost none of those studies have elaborated in detail the methodology used in the project and the accuracy of the model’s volume against the residual limb volume. This study focuses on the optimization of the residual limb model’s volume by investigating the effect of spline points on the volume value. This project is divided into 3 phases, namely pre-segmentation, segmentation, and 3D reconstruction. However, this study focuses on the segmentation phase in which four different spline point numbers are chosen, namely 72, 36, 24, and 12 points; CAD software CREO Parametric (PTC) was used for this process. A higher number of spline points achieved greater accuracy for the model’s volume. The volume (mm3) of the 3D model with the specified number of spline points was evaluated by comparing it with the volume of the 3D model created by using image processing tools from MATLAB (Math Works). The results show the increment in accuracy of the volume value when the number of spline points is increased. The highest accuracy in terms of volume value is achieved when the model is created with 72 and 36 spline points, with an average error percentage of 6.36%, which realized the hypothesis. The results indicate that CAD software, which is a technical drawing tool, can also be used in the biomedical field to design 3D models of the human anatomy with high accuracy, if the software includes a spline interpolation feature.

AB - In this paper, a study on the accurateness of 3D reconstruction for transfemoral residual limb based on Magnetic Resonance Imaging (MRI) using basic spline (B-Spline) interpolation feature is presented. Many researches have constructed 3D models by using the Non-Uniform Rational B-Spline (NURBS) approach; however, almost none of those studies have elaborated in detail the methodology used in the project and the accuracy of the model’s volume against the residual limb volume. This study focuses on the optimization of the residual limb model’s volume by investigating the effect of spline points on the volume value. This project is divided into 3 phases, namely pre-segmentation, segmentation, and 3D reconstruction. However, this study focuses on the segmentation phase in which four different spline point numbers are chosen, namely 72, 36, 24, and 12 points; CAD software CREO Parametric (PTC) was used for this process. A higher number of spline points achieved greater accuracy for the model’s volume. The volume (mm3) of the 3D model with the specified number of spline points was evaluated by comparing it with the volume of the 3D model created by using image processing tools from MATLAB (Math Works). The results show the increment in accuracy of the volume value when the number of spline points is increased. The highest accuracy in terms of volume value is achieved when the model is created with 72 and 36 spline points, with an average error percentage of 6.36%, which realized the hypothesis. The results indicate that CAD software, which is a technical drawing tool, can also be used in the biomedical field to design 3D models of the human anatomy with high accuracy, if the software includes a spline interpolation feature.

KW - 3D model

KW - B-Spline

KW - Residual limb

KW - Transfemoral prosthesis

UR - http://www.scopus.com/inward/record.url?scp=85048233143&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85048233143&partnerID=8YFLogxK

U2 - 10.1007/978-981-10-9038-7_125

DO - 10.1007/978-981-10-9038-7_125

M3 - Conference article

AN - SCOPUS:85048233143

VL - 68

SP - 675

EP - 680

JO - IFMBE Proceedings

JF - IFMBE Proceedings

SN - 1680-0737

IS - 2

ER -