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Abstract #5339

Optimising Spine Imaging with AIR Recon DL (ARDL): Enhancing Patient Care through Improved Efficiency and Diagnostic Value

Jia Hui Wong1, Ei Ei Kyaw2, Yih Yian Sitoh2, Wai-Yung Yu2, Eileen Ng Geok Ling2, and Hui Ping Oh2
1Neuroradiology, National Neuroscience Insitute, Singapore, Singapore, 2Neuroradiology, National Neuroscience Institute, Singapore, Singapore

Synopsis

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Motivation: This study is motivated by the need to improve patient comfort while retaining diagnostic quality in MRI spine protocols using AIR Recon DL (ARDL).

Goal(s): The goal is to assess whether AIR Recon DL (ARDL) reduces MRI scan times and improves image quality for spine imaging compared to standard protocols.

Approach: A retrospective analysis was conducted on spine MRI data from 26 patients to compare image quality ratings and scan times between AIR Recon DL (ARDL) and standard protocols.

Results: AIR Recon DL (ARDL) protocol demonstrated significantly higher image quality ratings and reduced scan times across all spine regions compared to standard protocols.

Impact: The results demonstrate that ARDL can significantly reduce MRI scan times while improving image quality, enhancing patient comfort and clinical workflow. This study enables further exploration into AI-driven imaging techniques and their broader implications for patient care and diagnostic accuracy.

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