Image analysis of spine and related mechanical investigations

Akmal W. Hardjasudjana; G. Kosalishkwaran; S. Parasuraman; I. Elamvazhuthi; D. Kingsly Jeba Singh; C. Deisy; S. Padmavathy

doi:10.1109/ICCIC.2017.8524572

Image analysis of spine and related mechanical investigations

Akmal W. Hardjasudjana
, G. Kosalishkwaran
, S. Parasuraman
, I. Elamvazhuthi
, D. Kingsly Jeba Singh
, C. Deisy
, S. Padmavathy

Malaysia School of Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Other

Abstract

Low back pain is a spinal-related problem mainly caused by degenerative disc disease. Throughout the spine, the lumbar region is the most prone to the disease since it supports the upper torso by transmitting compressive and shearing forces to the lower body during everyday activities. The study is focused on modeling a lumbar segment of a healthy L5-S1 by utilising image processing and computer-aided engineering to translate CT scan image into meshed finite element model. This study also involved the measurement the range of motion of the lumbar region by means of an in-vivo method. The result shows that the flexion, extension and axial rotation range of motion varies by 15-18 degrees compared to the literature, which may have been caused by in-vivo factors such as fatigue, sway and other measurement variability. The in-vivo results are then applied to the proposed finite Element Model as inputs and related investigations on spine vertebrae and disc are presented. Comparatively, the in-vivo results provides similar correlation, but variations observes quantitatively because of factors such as fatigue and sway of subjects. Further analysis will be done on stresses and moments.

Original language	English
Title of host publication	2017 IEEE International Conference on Computational Intelligence and Computing Research, ICCIC 2017
Editors	N. Krishnan, M. Karthikeyan
Publisher	IEEE, Institute of Electrical and Electronics Engineers
ISBN (Electronic)	9781509066209
DOIs	https://doi.org/10.1109/ICCIC.2017.8524572
Publication status	Published - 2017
Event	IEEE International Conference on Computational Intelligence and Computing Research 2017 - Tamilnadu, India Duration: 14 Dec 2017 → 16 Dec 2017 Conference number: 8th https://ieeexplore.ieee.org/xpl/conhome/8501353/proceeding (Proceedings)

Conference

Conference	IEEE International Conference on Computational Intelligence and Computing Research 2017
Abbreviated title	ICCIC 2017
Country/Territory	India
City	Tamilnadu
Period	14/12/17 → 16/12/17
Internet address	https://ieeexplore.ieee.org/xpl/conhome/8501353/proceeding (Proceedings)

Keywords

CT Scan Image Analysis
Finite Element Analysis
Lumbar spine
Range of motion

Access to Document

10.1109/ICCIC.2017.8524572

Cite this

Hardjasudjana, A. W., Kosalishkwaran, G., Parasuraman, S., Elamvazhuthi, I., Jeba Singh, D. K., Deisy, C., & Padmavathy, S. (2017). Image analysis of spine and related mechanical investigations. In N. Krishnan, & M. Karthikeyan (Eds.), 2017 IEEE International Conference on Computational Intelligence and Computing Research, ICCIC 2017 IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ICCIC.2017.8524572

@inproceedings{7898aeac31d64790abd2324129a826b0,

title = "Image analysis of spine and related mechanical investigations",

abstract = "Low back pain is a spinal-related problem mainly caused by degenerative disc disease. Throughout the spine, the lumbar region is the most prone to the disease since it supports the upper torso by transmitting compressive and shearing forces to the lower body during everyday activities. The study is focused on modeling a lumbar segment of a healthy L5-S1 by utilising image processing and computer-aided engineering to translate CT scan image into meshed finite element model. This study also involved the measurement the range of motion of the lumbar region by means of an in-vivo method. The result shows that the flexion, extension and axial rotation range of motion varies by 15-18 degrees compared to the literature, which may have been caused by in-vivo factors such as fatigue, sway and other measurement variability. The in-vivo results are then applied to the proposed finite Element Model as inputs and related investigations on spine vertebrae and disc are presented. Comparatively, the in-vivo results provides similar correlation, but variations observes quantitatively because of factors such as fatigue and sway of subjects. Further analysis will be done on stresses and moments.",

keywords = "CT Scan Image Analysis, Finite Element Analysis, Lumbar spine, Range of motion",

author = "Hardjasudjana, \{Akmal W.\} and G. Kosalishkwaran and S. Parasuraman and I. Elamvazhuthi and \{Jeba Singh\}, \{D. Kingsly\} and C. Deisy and S. Padmavathy",

note = "Funding Information: This work was supported by Fundamental Research Grant Scheme (FRGS), JABATAN PENGAJIAN TINGGI KEMENTERIAN PENVIDIKAN MALAYSIA under Grant Project No.: FRGS/ 1/ 2015 / TK03 / MUSM / 02 / 1 and the DST – FIST (Government of India) under Grant Ref. No. SR / FST/ ETI – 311 / 2012. Publisher Copyright: {\textcopyright} 2017 IEEE. Copyright: Copyright 2019 Elsevier B.V., All rights reserved.; IEEE International Conference on Computational Intelligence and Computing Research 2017, ICCIC 2017 ; Conference date: 14-12-2017 Through 16-12-2017",

year = "2017",

doi = "10.1109/ICCIC.2017.8524572",

language = "English",

editor = "N. Krishnan and M. Karthikeyan",

booktitle = "2017 IEEE International Conference on Computational Intelligence and Computing Research, ICCIC 2017",

publisher = "IEEE, Institute of Electrical and Electronics Engineers",

address = "United States of America",

url = "https://ieeexplore.ieee.org/xpl/conhome/8501353/proceeding",

}

Hardjasudjana, AW, Kosalishkwaran, G, Parasuraman, S, Elamvazhuthi, I, Jeba Singh, DK, Deisy, C & Padmavathy, S 2017, Image analysis of spine and related mechanical investigations. in N Krishnan & M Karthikeyan (eds), 2017 IEEE International Conference on Computational Intelligence and Computing Research, ICCIC 2017. IEEE, Institute of Electrical and Electronics Engineers, IEEE International Conference on Computational Intelligence and Computing Research 2017, Tamilnadu, India, 14/12/17. https://doi.org/10.1109/ICCIC.2017.8524572

Image analysis of spine and related mechanical investigations. / Hardjasudjana, Akmal W.; Kosalishkwaran, G.; Parasuraman, S. et al.
2017 IEEE International Conference on Computational Intelligence and Computing Research, ICCIC 2017. ed. / N. Krishnan; M. Karthikeyan. IEEE, Institute of Electrical and Electronics Engineers, 2017.

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Other

TY - GEN

T1 - Image analysis of spine and related mechanical investigations

AU - Hardjasudjana, Akmal W.

AU - Kosalishkwaran, G.

AU - Parasuraman, S.

AU - Elamvazhuthi, I.

AU - Jeba Singh, D. Kingsly

AU - Deisy, C.

AU - Padmavathy, S.

N1 - Conference code: 8th

PY - 2017

Y1 - 2017

N2 - Low back pain is a spinal-related problem mainly caused by degenerative disc disease. Throughout the spine, the lumbar region is the most prone to the disease since it supports the upper torso by transmitting compressive and shearing forces to the lower body during everyday activities. The study is focused on modeling a lumbar segment of a healthy L5-S1 by utilising image processing and computer-aided engineering to translate CT scan image into meshed finite element model. This study also involved the measurement the range of motion of the lumbar region by means of an in-vivo method. The result shows that the flexion, extension and axial rotation range of motion varies by 15-18 degrees compared to the literature, which may have been caused by in-vivo factors such as fatigue, sway and other measurement variability. The in-vivo results are then applied to the proposed finite Element Model as inputs and related investigations on spine vertebrae and disc are presented. Comparatively, the in-vivo results provides similar correlation, but variations observes quantitatively because of factors such as fatigue and sway of subjects. Further analysis will be done on stresses and moments.

AB - Low back pain is a spinal-related problem mainly caused by degenerative disc disease. Throughout the spine, the lumbar region is the most prone to the disease since it supports the upper torso by transmitting compressive and shearing forces to the lower body during everyday activities. The study is focused on modeling a lumbar segment of a healthy L5-S1 by utilising image processing and computer-aided engineering to translate CT scan image into meshed finite element model. This study also involved the measurement the range of motion of the lumbar region by means of an in-vivo method. The result shows that the flexion, extension and axial rotation range of motion varies by 15-18 degrees compared to the literature, which may have been caused by in-vivo factors such as fatigue, sway and other measurement variability. The in-vivo results are then applied to the proposed finite Element Model as inputs and related investigations on spine vertebrae and disc are presented. Comparatively, the in-vivo results provides similar correlation, but variations observes quantitatively because of factors such as fatigue and sway of subjects. Further analysis will be done on stresses and moments.

KW - CT Scan Image Analysis

KW - Finite Element Analysis

KW - Lumbar spine

KW - Range of motion

UR - https://www.scopus.com/pages/publications/85057978732

U2 - 10.1109/ICCIC.2017.8524572

DO - 10.1109/ICCIC.2017.8524572

M3 - Conference Paper

AN - SCOPUS:85057978732

BT - 2017 IEEE International Conference on Computational Intelligence and Computing Research, ICCIC 2017

A2 - Krishnan, N.

A2 - Karthikeyan, M.

PB - IEEE, Institute of Electrical and Electronics Engineers

T2 - IEEE International Conference on Computational Intelligence and Computing Research 2017

Y2 - 14 December 2017 through 16 December 2017

ER -

Hardjasudjana AW, Kosalishkwaran G, Parasuraman S, Elamvazhuthi I, Jeba Singh DK, Deisy C et al. Image analysis of spine and related mechanical investigations. In Krishnan N, Karthikeyan M, editors, 2017 IEEE International Conference on Computational Intelligence and Computing Research, ICCIC 2017. IEEE, Institute of Electrical and Electronics Engineers. 2017 doi: 10.1109/ICCIC.2017.8524572

Image analysis of spine and related mechanical investigations

Abstract

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Keywords

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