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Optimization of magnetic resonance imaging of the hand

Authors :
Yuriy A. Vasilev
Dmitry S. Semenov
Alexey V. Petraikin
Andrey A. Uchevatkin
Liya R. Abuladze
Alexander V. Bazhin
Dariya E. Sharova
Source :
Digital Diagnostics, Vol 5, Iss 2, Pp 269-282 (2024)
Publication Year :
2024
Publisher :
Eco-Vector, 2024.

Abstract

BACKGROUND: Magnetic resonance imaging is one of the leading imaging modalities of the musculoskeletal system. However, when imaging the hand, major problems in magnetic resonance imaging include the lack of specialized coils and reliable fixation devices for the hand, uncomfortable patient posture, motion artifacts, and small anatomical structures in the wrist. These factors inevitably lead to incorrect interpretation. AIM: To improve the quality of magnetic resonance imaging of the hand by developing an approach to coil selection, scanning protocol, and hand positioning and fixation. MATERIALS AND METHODS: A positioning device was developed to prevent hand movements. Two types of coils were evaluated. Magnetic resonance images were evaluated comparatively, as well as by a musculoskeletal radiologist. RESULTS: А head coil is more appropriate when scanning the entire hand, for example, in rheumatic diseases. A knee coil is more appropriate when studying smaller anatomical structures (including the wrist) owing to a smaller field of view and higher resolution. Based on the obtained data, guidelines for the selection of scanning parameters, sequences, and coils for magnetic resonance imaging of the hand were formulated. To prevent motion artifacts, a special fixation device of the patient’s hand was introduced. CONCLUSION: Certain factors directly affect the qualitative magnetic resonance imaging study of the hand, such as safety protocols, scanning parameters, and hand fixation. The guidelines presented in this study and the use of the developed specialized fixation device may improve the quality of magnetic resonance imaging of the hand.

Details

Language :
English, Russian, Chinese
ISSN :
27128490 and 27128962
Volume :
5
Issue :
2
Database :
Directory of Open Access Journals
Journal :
Digital Diagnostics
Publication Type :
Academic Journal
Accession number :
edsdoj.7d0e25a9b2d7433086f103bafa4ad754
Document Type :
article
Full Text :
https://doi.org/10.17816/DD568545