Cortical Bone Mechanical Assessment via Free Water Relaxometry at 3 T
Autor: | Hamidreza Saligheh Rad, Ali Abbasian Ardakani, Mohamad Shahgholi, Mahsa Talebi, Shahrokh Abbasi-Rad, Kimia Foudeh, Malakeh Malekzadeh |
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Rok vydání: | 2021 |
Předmět: |
Relaxometry
Materials science Young's modulus 030218 nuclear medicine & medical imaging 03 medical and health sciences symbols.namesake 0302 clinical medicine Flip angle Cortical Bone medicine Animals Humans Radiology Nuclear Medicine and imaging Prospective Studies Phantoms Imaging Pulse (signal processing) Reproducibility of Results Water Magnetic Resonance Imaging Pearson product-moment correlation coefficient medicine.anatomical_structure symbols Cattle Cortical bone Analysis of variance Student's t-test Biomedical engineering |
Zdroj: | Journal of Magnetic Resonance Imaging. 54:1744-1751 |
ISSN: | 1522-2586 1053-1807 |
DOI: | 10.1002/jmri.27765 |
Popis: | BACKGROUND Investigation of cortical bone using magnetic resonance imaging is a developing field, which uses short/ultrashort echo time (TE) pulse sequences to quantify bone water content and to obtain indirect information about bone microstructure. PURPOSE To improve the accuracy of the previously proposed technique of free water T1 quantification and to seek the relationship between cortical bone free water T1 and its mechanical competence. STUDY TYPE Prospective. SUBJECTS Twenty samples of bovine tibia bone. FIELD STRENGTH/SEQUENCES 3.0 T; ultra-fast two-dimensional gradient echo, Radio frequency-spoiled three-dimensional gradient echo. ASSESSMENT Cortical bone free water T1 was quantified via three different methods: inversion recovery (IR), variable flip angle (VFA), and variable repetition time (VTR). Signal-to-noise ratio was measured by dividing the signal of each segmented sample to background noise. Segmentation was done manually. The effect of noise on T1 quantification was evaluated. Then, the samples were subjected to mechanical compression test to measure the toughness, yield stress, ultimate stress, and Young modulus. STATISTICAL TESTS All the statistical analysis (Shapiro-Wilk, way analysis of variance, paired t test, Pearson correlation, and Bland-Altman plot) were done using SPSS. RESULTS Significant difference was found between T1 quantification groups (P |
Databáze: | OpenAIRE |
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