High Resolution HBA-MRI Using Deep Learning Reconstruction

Status Active, not recruiting

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

Clinical Trial Details

NCT number	NCT05182099
Study type	Interventional
Source	Seoul National University Hospital
Contact
Status	Active, not recruiting
Phase	N/A
Start date	January 10, 2022
Completion date	September 30, 2023

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