PREDICTION OF HUMAN VERTEBRAL COMPRESSIVE STRENGTH USING QUANTITATIVE COMPUTED TOMOGRAPHY BASED NONLINEAR FINITE ELEMENT METHOD

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

ZEINALI AHAD; HASHEMI BIJAN; AKHLAGHPOOR SHAHRAM; MIRZAEI MAJID; NAZEMI SEYED MAJID

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: IRANIAN JOURNAL OF MEDICAL PHYSICS Year:2008 | Volume:4 | Issue:2 (16-17) Page(s): 19-32

Download Full-Text

Persian Verion

View:

881

Download:

Cites:

Information Journal Paper

Title

PREDICTION OF HUMAN VERTEBRAL COMPRESSIVE STRENGTH USING QUANTITATIVE COMPUTED TOMOGRAPHY BASED NONLINEAR FINITE ELEMENT METHOD

Author(s)

Keywords

QUANTITATIVE COMPUTED TOMOGRAPHYQ3

FINITE ELEMENT METHODQ3

VERTEBRAL COMPRESSIVE STRENGTHQ3

Abstract

Introduction: Because of the importance of vertebral compressive fracture (VCF) role in increasing the patients' death rate and reducing their quality of life, many studies have been conducted for a noninvasive prediction of VERTEBRAL COMPRESSIVE STRENGTH based on bone mineral density (BMD) determination and recently finite element analysis. In this study, QCT-voxel based nonlinear FINITE ELEMENT METHOD is used for predicting VERTEBRAL COMPRESSIVE STRENGTH.Material and Methods: Four thoracolumbar vertebrae were excised from 3 cadavers with an average age of 42 years. They were then put in a water phantom and were scanned using the QCT. Using a computer program prepared in MATLAB, detailed voxel based geometry and mechanical characteristics of the vertebra were extracted from the CT images. The three dimensional finite element models of the samples were created using ANSYS computer program. The compressive strength of each vertebra body was calculated based on a linearly elastic-linearly plastic model and large deformation analysis in ANSYS and was compared to the value measured experimentally for that sample.Results: Based on the obtained results the QCT-voxel based nonlinear FINITE ELEMENT METHOD (FEM) can predict VERTEBRAL COMPRESSIVE STRENGTH more effectively and accurately than the common QCT-voxel based linear FEM. The difference between the predicted strength values using this method and the measured ones was less than 1 kN for all the samples.Discussion and Conclusion: It seems that the QCT-voxel based nonlinear FEM used in this study can predict more effectively and accurately the vertebral strengths based on every vertebrae specification by considering their detailed geometric and densitometric characteristics.

Cites

No record.

References

No record.

Cite

APA: Copy

ZEINALI, AHAD, HASHEMI, BIJAN, AKHLAGHPOOR, SHAHRAM, MIRZAEI, MAJID, & NAZEMI, SEYED MAJID. (2008). PREDICTION OF HUMAN VERTEBRAL COMPRESSIVE STRENGTH USING QUANTITATIVE COMPUTED TOMOGRAPHY BASED NONLINEAR FINITE ELEMENT METHOD. IRANIAN JOURNAL OF MEDICAL PHYSICS, 4(2 (16-17)), 19-32. SID. https://sid.ir/paper/97004/en

Vancouver: Copy

ZEINALI AHAD, HASHEMI BIJAN, AKHLAGHPOOR SHAHRAM, MIRZAEI MAJID, NAZEMI SEYED MAJID. PREDICTION OF HUMAN VERTEBRAL COMPRESSIVE STRENGTH USING QUANTITATIVE COMPUTED TOMOGRAPHY BASED NONLINEAR FINITE ELEMENT METHOD. IRANIAN JOURNAL OF MEDICAL PHYSICS[Internet]. 2008;4(2 (16-17)):19-32. Available from: https://sid.ir/paper/97004/en

IEEE: Copy

AHAD ZEINALI, BIJAN HASHEMI, SHAHRAM AKHLAGHPOOR, MAJID MIRZAEI, and SEYED MAJID NAZEMI, “PREDICTION OF HUMAN VERTEBRAL COMPRESSIVE STRENGTH USING QUANTITATIVE COMPUTED TOMOGRAPHY BASED NONLINEAR FINITE ELEMENT METHOD,” IRANIAN JOURNAL OF MEDICAL PHYSICS, vol. 4, no. 2 (16-17), pp. 19–32, 2008, [Online]. Available: https://sid.ir/paper/97004/en

Related Journal Papers