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Clinically compatible MRI strategies for discriminating bound and pore water in cortical bone
- Source :
- Magnetic Resonance in Medicine. 68:1774-1784
- Publication Year :
- 2012
- Publisher :
- Wiley, 2012.
-
Abstract
- Advances in modern magnetic resonance imaging (MRI) pulse sequences have enabled clinically practical cortical bone imaging. Human cortical bone is known to contain a distribution of T1 and T2 components attributed to bound and pore water, although clinical imaging approaches have yet to discriminate bound from pore water based on their relaxation properties. Herein, two clinically compatible MRI strategies are proposed for selectively imaging either bound or pore water by utilizing differences in their T1s and T2s. The strategies are validated in a population of ex vivo human cortical bones, and estimates obtained for bound and pore water are compared to bone mechanical properties. Results show that the two MRI strategies provide good estimates of bound and pore water that correlate to bone mechanical properties. As such, the strategies for bound and pore water discrimination shown herein should provide diagnostically useful tools for assessing bone fracture risk, once applied to clinical MRI. Magn Reson Med, 2012. © 2012 Wiley Periodicals, Inc.
- Subjects :
- Adult
Male
Pathology
medicine.medical_specialty
Population
Sensitivity and Specificity
Article
Young Adult
Pore water pressure
Body Water
Image Interpretation, Computer-Assisted
Cadaver
medicine
Humans
Bound water
Radiology, Nuclear Medicine and imaging
Femur
Clinical imaging
education
Aged
Aged, 80 and over
education.field_of_study
medicine.diagnostic_test
Chemistry
Discriminant Analysis
Reproducibility of Results
Water
Magnetic resonance imaging
Bone fracture
Middle Aged
medicine.disease
Magnetic Resonance Imaging
medicine.anatomical_structure
Female
Cortical bone
Porosity
Algorithms
Biomedical engineering
Subjects
Details
- ISSN :
- 07403194
- Volume :
- 68
- Database :
- OpenAIRE
- Journal :
- Magnetic Resonance in Medicine
- Accession number :
- edsair.doi.dedup.....0867621244ab241fe5f8e72b6de66116