TY - JOUR
T1 - Cultivating expertise in MRI physics in Mongolia through international collaboration
AU - Munkhtuvshin, Tamir
AU - Shagdarsuren, Batnasan
AU - Bold, Bayarbaatar
AU - Khurelsukh, Khulan
AU - Myagmarsuren, Dulguun
AU - Bryant, John M.
AU - Salzillo, Travis C.
AU - Mohammed, Sharon
AU - Einstein, Samuel A.
AU - Musall, Benjamin C.
AU - Mollura, Daniel J.
AU - Weygand, Joseph
N1 - Publisher Copyright:
© 2025
PY - 2025/7
Y1 - 2025/7
N2 - Introduction: Mongolia's expanding MRI infrastructure faces challenges due to limited local MRI physics expertise, critical for optimizing scanner performance and ensuring diagnostic quality. In response, Intermed Hospital in Ulaanbaatar partnered with RAD-AID International to build MRI capacity and enhance imaging access across urban and rural areas. Methods: This project included comprehensive MRI physics education, clinical protocol optimization, QA implementation, and the installation of two new MRI scanners. A didactic course covered MRI fundamentals, helping technologists, radiologists, and engineers understand how MRI parameters impact image quality. Practical sessions allowed staff to refine protocols to reduce artifacts, and an ACR-adapted QA program was established for consistent scanner monitoring. Results: Participants demonstrated improved knowledge and practical skills, enabling them to independently adjust protocols and conduct QA. Two 1.5 T MRI scanners were successfully installed in Ulaanbaatar and Darkhan, with local staff applying new expertise to maintain consistent imaging quality. Discussion: This collaborative model shows that partnerships with international experts can empower local teams in resource-limited settings to sustain high imaging standards, reduce reliance on external support, and enhance patient care through improved diagnostic quality. Conclusion: The successful integration of MRI physics education, protocol optimization, and QA provides a replicable roadmap for similar low-resource settings, bridging healthcare gaps and expanding access to advanced imaging in underserved regions.
AB - Introduction: Mongolia's expanding MRI infrastructure faces challenges due to limited local MRI physics expertise, critical for optimizing scanner performance and ensuring diagnostic quality. In response, Intermed Hospital in Ulaanbaatar partnered with RAD-AID International to build MRI capacity and enhance imaging access across urban and rural areas. Methods: This project included comprehensive MRI physics education, clinical protocol optimization, QA implementation, and the installation of two new MRI scanners. A didactic course covered MRI fundamentals, helping technologists, radiologists, and engineers understand how MRI parameters impact image quality. Practical sessions allowed staff to refine protocols to reduce artifacts, and an ACR-adapted QA program was established for consistent scanner monitoring. Results: Participants demonstrated improved knowledge and practical skills, enabling them to independently adjust protocols and conduct QA. Two 1.5 T MRI scanners were successfully installed in Ulaanbaatar and Darkhan, with local staff applying new expertise to maintain consistent imaging quality. Discussion: This collaborative model shows that partnerships with international experts can empower local teams in resource-limited settings to sustain high imaging standards, reduce reliance on external support, and enhance patient care through improved diagnostic quality. Conclusion: The successful integration of MRI physics education, protocol optimization, and QA provides a replicable roadmap for similar low-resource settings, bridging healthcare gaps and expanding access to advanced imaging in underserved regions.
UR - https://www.scopus.com/pages/publications/105002674555
UR - https://www.scopus.com/pages/publications/105002674555#tab=citedBy
U2 - 10.1016/j.jmir.2025.101897
DO - 10.1016/j.jmir.2025.101897
M3 - Article
C2 - 40245825
AN - SCOPUS:105002674555
SN - 1939-8654
VL - 56
JO - Journal of Medical Imaging and Radiation Sciences
JF - Journal of Medical Imaging and Radiation Sciences
IS - 4
M1 - 101897
ER -