IMPACT OF DEEP RESOLVE TECHNOLOGY ON 0.55T MRI IMAGE QUALITY IN KNEE TRAUMA PATIENTS AT QUANG NINH PROVINCIAL GENERAL HOSPITAL
Main Article Content
Abstract
Objectives: To describe the imaging characteristics of knee joint injuries using Deep Resolve and to evaluate the efficacy of this software in improving image quality of knee injuries on a 0.55 Tesla magnetic resonance imaging (MRI) system.
Subjects and Methods: A descriptive cross-sectional study with paired pre- and post-processing image comparisons was conducted. The study included 42 patients aged 18 years who were indicated for knee MRI due to trauma at Quang Ninh Provincial General Hospital.
Results: Following the application of Deep Resolve, the signal-to-noise ratio (SNR) significantly increased by 59,9% on T1W Coronal, 46,9% on T2W Sagittal, and 58.5% on PD FatSat Axial sequences (p < 0,001). The contrast-to-noise ratio (CNR) demonstrated respective improvements of 58,7% (T1W Coronal), 59,7% (T2W Sagittal), and 69,2% (PD FatSat Axial) (p < 0,001). Radiologists consistently evaluated the Deep Resolve-reconstructed images as having reduced image noise, enhanced sharpness, and superior overall diagnostic quality (p < 0,001). The inter-observer diagnostic agreement between the two radiologists was almost perfect, with a Cohen’s Kappa coefficient of 0,876.
Conclusion: The application of Deep Resolve significantly enhances image quality on a low-field 0.55T MRI system, demonstrated by improvements in both objective metrics (SNR, CNR) and subjective radiologist assessments.
Keywords
Magnetic Resonance Imaging, Deep Resolve, Knee Injuries, 0.55 Tesla, Image Quality
Article Details
References
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