Correlation between manual 0.2T MRI assessment of synovitis and EULAR-OMERACT scores of the wrist in patients with rheumatoid arthritis

Abstract

Development of algorithms for automated detection of signal-enhancing regions in 0.2T MR images is a reasonable direction of forthcoming studies on computer-aided diagnosis (CAD) systems supporting low-field extremity MR-based diagnosis of rheumatoid arthritis by identifying its symptoms.

Diagnostic Capability of Low- Versus High-Field Magnetic Resonance Imaging for Lumbar Degenerative Disease

“…[1][2][3][4] The main limitation currently to the more widespread usage of low-fi eld whole-body MRI systems is the impaired resolution compared with higher strength whole-body magnetic resonance (MR) systems. [1][2][3][4] The main limitation currently to the more widespread usage of low-fi eld whole-body MRI systems is the impaired resolution compared with higher strength whole-body magnetic resonance (MR) systems.…”

Polish Medical Society of Radiology and Polish Society of Rheumatology Recommendations for Magnetic Resonance Imaging of Musculoskeletal Disorders in Rheumatology

“…Measurements obtained from the analysis reflect synovial perfusion and permeability of capillary vessels within the inflamed tissue. They are correlated with the degree of synovial vascularization which may be particularly useful in monitoring treatment [ 17 , 18 ].…”

Fast automated segmentation of wrist bones in magnetic resonance images

“…Recently there have been some efforts to develop quantitative methods of assessing RA-related changes and comparing them with RAMRIS outcomes [5][6][7]. These methods were however essentially based on manual outlining of wrist bones or joints borders in 3 T MR images of wrist.…”