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Abstract #5160

Impact of Deep Resolve Sharp & Gain AI software on patient throughput and image quality at 3.0 Tesla: A preliminary study in knee.

Theodore Joseph Kryzer1, Houchun Harry Hu2, Hannah Spears3, and Alex N Merkle2
1Radiology, UCHealth, Highlands Ranch, CO, United States, 2Radiology, University of Colorado School of Medicine, Aurora, CO, United States, 3Colorado School of Public Health, Aurora, CO, United States

Synopsis

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Motivation: To quantify the impact of Deep Resolve Sharp and Gain (DRSG) Artificial Intelligence (AI) software on patient throughput and image quality of knee MRI exams at 3.0 Tesla.

Goal(s): To study the clinical the impact of DRSG on image quality and examination time.

Approach: Thirty patients underwent examinations without or with DRSG enabled. An attending musculoskeletal radiologist blindly reviewed exams and the quality of structures was assessed in routine diagnostic planes. Exam times were recorded.

Results: Knee structures showed no statistical difference in image quality. Meanwhile, a statistically significant reduction in mean exam time was observed with DRSG-enabled protocols of 24% (p<0.001).

Impact: Siemens Healthineers Deep Resolve Sharp & Gain is a clinically useful tool to significantly reduce MR knee exams times without compromising image quality at 3.0 Tesla.

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