NCT05182099

High Resolution HBA-MRI Using Deep Learning Reconstruction

AIRTM Deep Learning Reconstruction of Abdominal High Resolution Gd-EOB-DTPA Enhanced MRI in Patients With Suspicious Focal Liver Lesions: Image Quality Assessment

• Status: Unknown
• Phase: N/A
• Study type: Interventional
• Enrollment: 52 (actual)
• Sponsor: Seoul National University Hospital · Academic / Other
• Sex: All
• Age: 20 Years
• Healthy volunteers: Not accepted

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.

Conditions

• Liver Diseases
• Magnetic Resonance Imaging
• Deep Learning

Interventions

Type	Name	Description
DIAGNOSTIC_TEST	Liver MRI	Gd-EOB-DTPA enhanced MRI consists of T2-weighted image (T2WI), diffusion weighted image (DWI) and precontrast T1-weighted image (T1WI), dynamic T1WI (arterial, portal and transitional phases), and hepatobiliary phase.

Timeline

• Start date: 2022-01-10
• Primary completion: 2022-03-30
• Completion: 2023-09-30
• First posted: 2022-01-10
• Last updated: 2023-05-16

Locations

1 site across 1 country: South Korea