Accessible magnetic resonance imaging: A review
| Autor: | Sairam Geethanath, John Thomas Vaughan |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Quantitative imaging
medicine.diagnostic_test Phantoms Imaging Computer science Decision Making Brain Magnetic resonance imaging Equipment Design Evidence-based medicine Global Health World Health Organization Magnetic Resonance Imaging Data science Health Services Accessibility 030218 nuclear medicine & medical imaging 03 medical and health sciences 0302 clinical medicine medicine Humans Prognostics Radiology Nuclear Medicine and imaging Internet users Who classification Software |
| Zdroj: | Journal of Magnetic Resonance Imaging. 49:e65-e77 |
| ISSN: | 1522-2586 1053-1807 |
| DOI: | 10.1002/jmri.26638 |
| Popis: | The role of MRI in diagnostics, prognostics, and discoveries in basic sciences has been well established. However, access to this life-saving technology is largely restricted to countries in upper-middle to high-income groups. In this article, we collate recent global MR scanner density data and group them into six geographical regions based on the WHO classification. We then analyze these data with respect to demographic factors such as population size, life expectancy, the percentage of internet users, and World Bank income grouping. We map these demographic factors to five dimensions or characteristics of accessible MRI, adapting definitions from the healthcare literature. With this background, the study then reviews recent demonstrations of accessible MRI categorized based on main magnetic field strength. We describe demonstrated examples for each of these categories, ranging from ultralow-field to ultrahigh-field MRI. Lastly, we review MR methods and associated developments impacting accessible MRI such as increasing/augmenting MR awareness and local expertise, incorporating hardware-cognizant methods, rapid quantitative imaging, and leveraging innovations from adjacent fields. Level of Evidence: 5 Technical Efficacy Stage: 6 J. Magn. Reson. Imaging 2019. |
| Databáze: | OpenAIRE |
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