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Clinical Trial Summary

This study aims to compare image qualities between conventionally reconstructed MRI sequences and deep-learning reconstructed MRI sequences from the same data in patients who undergo Gd-EOB-DTPA enhanced liver MRI. The AIRTM deep learning sequence is applicable for various MRI sequences including T2-weighted image (T2WI), T1-weighted image and diffusion-weighted image (DWI). We plan to perform intra-individual comparisons of the image qualities between two reconstructed image datasets.


Clinical Trial Description

n/a


Study Design


Related Conditions & MeSH terms


NCT number NCT05182099
Study type Interventional
Source Seoul National University Hospital
Contact Jeong Hee Yoon, MD
Phone 82-2-2072-2584
Email [email protected]
Status Not yet recruiting
Phase N/A
Start date January 20, 2022
Completion date June 30, 2022

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