Singh, S;
Bray, TJP;
Hall-Craggs, MA;
(2018)
Quantifying bone structure, micro-architecture, and pathophysiology with MRI.
Clinical Radiology
, 73
(3)
pp. 221-230.
10.1016/j.crad.2017.12.010.
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Abstract
The radiology of bone has been transformed by magnetic resonance imaging, which has the ability to interrogate bone's complex architecture and physiology. New techniques provide information about both the macrostructure and microstructure of bone ranging from micrometre detail to the whole skeleton. Furthermore functional information about bone physiology can be used to detect disease early before structural changes occur. The future of bone imaging is in quantifying the anatomical and functional information to diagnose and monitor disease more precisely. This review explores the state of the art in quantitative MRI bone imaging.
| Type: | Article |
|---|---|
| Title: | Quantifying bone structure, micro-architecture, and pathophysiology with MRI |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1016/j.crad.2017.12.010 |
| Publisher version: | http://dx.doi.org/10.1016/j.crad.2017.12.010 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Radiology, Nuclear Medicine & Medical Imaging, APPARENT DIFFUSION-COEFFICIENT, CONTRAST-ENHANCED MRI, WHOLE-BODY MRI, MULTIPLE-MYELOMA, CORTICAL BONE, IN-VIVO, MUSCULOSKELETAL LESIONS, FRAGILITY FRACTURES, WEIGHTED MRI, FAT-CONTENT |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Medicine UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Medicine > Department of Imaging |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10046505 |
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