Bone mineral density prediction using MRI

The main aim of this project was to find out the relationship between mechanical properties of bones with imaging parameters such as magnetic resonance imaging (MRI), micro computed tomography (μCT) and bone mineral density (BMD). This is to determine the possibility of MRI to predict BMD and mechan...

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Main Author: Lee, Tat Kian.
Other Authors: Chou Siaw Meng
Format: Final Year Project
Language:English
Published: 2013
Subjects:
Online Access:http://hdl.handle.net/10356/54190
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-541902023-03-04T18:29:53Z Bone mineral density prediction using MRI Lee, Tat Kian. Chou Siaw Meng School of Mechanical and Aerospace Engineering DRNTU::Engineering::Mechanical engineering::Bio-mechatronics DRNTU::Engineering::Mechanical engineering::Mechanics and dynamics The main aim of this project was to find out the relationship between mechanical properties of bones with imaging parameters such as magnetic resonance imaging (MRI), micro computed tomography (μCT) and bone mineral density (BMD). This is to determine the possibility of MRI to predict BMD and mechanical properties of bone, and as an alternative to current invasive techniques for predicting osteoporosis. Firstly, cylindrical bone samples with aspect ratio 2:1, diameter of about 6 mm and height 12 mm were cored from distal femur of goat bone. Their masses were then measured before defatting. The bone samples then underwent μCT and MRI scans to determine their structural parameters. These include bone volume fraction (BVF), trabecular thickness (Tb.Th), trabecular number (Tb.N) and trabecular spacing (Tb.Sp). The bone samples were then scanned using dual energy x-ray absorptiometry (DXA) to obtain their BMD values. The mechanical test was done after all the scans to obtain mechanical properties such as elastic modulus and ultimate stress. Mechanical properties were then correlated with BMD, μCT, MRI parameters and apparent density. The CT parameters were used as a basis for comparison. The validity of BMD for this investigation was also done to determine its accuracy, and the optimum BMD scan area was evaluated to be 0.09 cm2. Data obtained from this investigation was also compared with previous work to discuss any discrepancy in values from the mechanical properties in current investigation. The data were also combined to compare the relationship between dry and wet specimens in previous studies, and then used to correlate with BMD, CT and MRI parameters. All μCT parameters were found to be significantly correlated with the mechanical properties and BMD, except Tb.Th. Correlation values between MRI parameters with BMD and mechanical properties remain generally low, except for the case for BVF. Hence, it can be concluded that MRI at current resolution can only serve as an aid in deducing osteoporosis accurately, but unable to replace DXA completely. Bachelor of Engineering (Mechanical Engineering) 2013-06-14T07:48:53Z 2013-06-14T07:48:53Z 2013 2013 Final Year Project (FYP) http://hdl.handle.net/10356/54190 en Nanyang Technological University 131 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Mechanical engineering::Bio-mechatronics
DRNTU::Engineering::Mechanical engineering::Mechanics and dynamics
spellingShingle DRNTU::Engineering::Mechanical engineering::Bio-mechatronics
DRNTU::Engineering::Mechanical engineering::Mechanics and dynamics
Lee, Tat Kian.
Bone mineral density prediction using MRI
description The main aim of this project was to find out the relationship between mechanical properties of bones with imaging parameters such as magnetic resonance imaging (MRI), micro computed tomography (μCT) and bone mineral density (BMD). This is to determine the possibility of MRI to predict BMD and mechanical properties of bone, and as an alternative to current invasive techniques for predicting osteoporosis. Firstly, cylindrical bone samples with aspect ratio 2:1, diameter of about 6 mm and height 12 mm were cored from distal femur of goat bone. Their masses were then measured before defatting. The bone samples then underwent μCT and MRI scans to determine their structural parameters. These include bone volume fraction (BVF), trabecular thickness (Tb.Th), trabecular number (Tb.N) and trabecular spacing (Tb.Sp). The bone samples were then scanned using dual energy x-ray absorptiometry (DXA) to obtain their BMD values. The mechanical test was done after all the scans to obtain mechanical properties such as elastic modulus and ultimate stress. Mechanical properties were then correlated with BMD, μCT, MRI parameters and apparent density. The CT parameters were used as a basis for comparison. The validity of BMD for this investigation was also done to determine its accuracy, and the optimum BMD scan area was evaluated to be 0.09 cm2. Data obtained from this investigation was also compared with previous work to discuss any discrepancy in values from the mechanical properties in current investigation. The data were also combined to compare the relationship between dry and wet specimens in previous studies, and then used to correlate with BMD, CT and MRI parameters. All μCT parameters were found to be significantly correlated with the mechanical properties and BMD, except Tb.Th. Correlation values between MRI parameters with BMD and mechanical properties remain generally low, except for the case for BVF. Hence, it can be concluded that MRI at current resolution can only serve as an aid in deducing osteoporosis accurately, but unable to replace DXA completely.
author2 Chou Siaw Meng
author_facet Chou Siaw Meng
Lee, Tat Kian.
format Final Year Project
author Lee, Tat Kian.
author_sort Lee, Tat Kian.
title Bone mineral density prediction using MRI
title_short Bone mineral density prediction using MRI
title_full Bone mineral density prediction using MRI
title_fullStr Bone mineral density prediction using MRI
title_full_unstemmed Bone mineral density prediction using MRI
title_sort bone mineral density prediction using mri
publishDate 2013
url http://hdl.handle.net/10356/54190
_version_ 1759853333123694592