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Analysis of magnetic resonance imaging quality control in bone and joint system
LIU Ling-ling  LI Qi  ZHANG Cheng-jun  MENG Yan  LU Zhao  PAN Shi-nong 

DOI:10.12015/issn.1674-8034.2017.12.016.


[Abstract] Magnetic resonance diagnosis of bone and joint system diseases has been recognized, especially for the joints, can be very clear and accurate display of its anatomical structure, and even with a fixed dissection of specimens comparable. With the MRI in the field of bone and joint diagnosis of a wide range of applications, how to further improve the scanning method to innovation, how to improve its diagnostic criteria has become an important issue of medical staff. In magnetic resonance imaging, there are many factors that affect the image quality, including the subject position, sampling orientation, imaging parameters and sequence setting principles, common artifacts and treatment principles, and so on. The rational control or application of these factors will help to establish a practicable uniform quality control standard for the osteoarticular system, and play a decisive role in the optimization of magnetic resonance technology and the acquisition of high quality images.
[Keywords] Bone and joint system；Magnetic resonance imaging；Quality control

LIU Ling-ling Department of Radiology, Shengjing Hospital of China Medical University, Shenyang 110004, China

LI Qi Department of Medical Imaging, Liaoning Electric Power Center Hospital, Shenyang 110004, China

ZHANG Cheng-jun Department of Radiology, Chaoyang Central Hospital, Chaoyang 122000, China

MENG Yan Department of Radiology, Shengjing Hospital of China Medical University, Shenyang 110004, China

LU Zhao Department of Radiology, Shengjing Hospital of China Medical University, Shenyang 110004, China

PAN Shi-nong* Department of Radiology, Shengjing Hospital of China Medical University, Shenyang 110004, China

*Corresponding to: Pan SN, E-mail: cjr.panshinong@vip.163.com

Conflicts of interest   None.

ACKNOWLEDGMENTS  This work was part of the National Key R & D Plan and Special Research and Development Program of Digital Diagnosis and Treatment Equipment No. 2016YFC0107102
Received  2017-07-30
Accepted  2017-08-31
DOI: 10.12015/issn.1674-8034.2017.12.016
DOI:10.12015/issn.1674-8034.2017.12.016.

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