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

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.

Inclusion Criteria:

• older than 20 years old
• scheduled for Gd-EOB-DTPA enhanced liver MRI at a 3T scanner (Premier, GE Healthcare) in our institution
• signed informed consent

Exclusion Criteria:

• younger than 20 years old
• any absolute/relative contrast indication of Gd-EOB-DTPA enhanced MRI
• history of transient dyspnea after Gd-EOB-DTPA administration