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

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.

Authors

Publication Details

Journal
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Published
2024-11-26
DOI
https://doi.org/10.58530/2024/5160
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

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

Andrew C. Merkle, Houchun Hu, Theodore Kryzer, Hannah Spears
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Artificial Intelligence in Healthcare and Education
article

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

Andrew C. Merkle, Houchun Hu, Theodore Kryzer, Hannah Spears
article en

Abstract

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.

Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Openalex Percentile: Top 84%
Artificial Intelligence in Healthcare and Education
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Impact of Deep Resolve Sharp & Gain AI software on patient throughput and image quality at 3.0 Tesla: A preliminary study in knee. — Andrew C. Merkle, Houchun Hu, et al. · Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition (2024) | TGRS Research Map | TGRS