High Resolution HBA-MRI Using Deep Learning Reconstruction

Study Overview
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Brief Summary
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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.

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

Conditions
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Liver Diseases, Magnetic Resonance Imaging, Deep Learning

Intervention / Treatment
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* Diagnostic Test: Liver MRI


Participation Criteria
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Eligibility Criteria
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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

Ages Eligible for Study
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Minimum Age: 20 Years

Sexes Eligible for Study
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All

Accepts Healthy Volunteers
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No

Study Plan
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How is the study designed?
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Design Details

Primary Purpose: Diagnostic
Allocation: Non-Randomized
Intervention Model: Parallel Assignment
Masking: Single


Arms and Interventions

| Participant Group/Arm | Intervention/Treatment |
| --- | --- |
| Other: Conventional image reconstruction<br>Gd-EOB-DTPA enhanced liver MRI images are reconstructed using a conventional image reconstruction algorithm. It is automatically generated from a MRI console after the examination. | Diagnostic Test: Liver MRI<br>* 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.<br>|
| Active Comparator: Deep learning image reconstruction<br>Gd-EOB-DTPA enhanced liver MRI images are reconstructed using a deep learning based image reconstruction algorithm (AIRTM). It is additionally generated aside from the conventional images. For obtaining the images, we will use the same MRI raw data which is used for conventional image reconstruction. | Diagnostic Test: Liver MRI<br>* 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.<br>|

What is the study measuring?
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Primary Outcome Measures

| Outcome Measure | Measure Description | Time Frame |
| --- | --- | --- |
| Overall image quality of arterial phase | qualitative assessment of arterial phase on a five point scale (highest score indicates better image quality) | 3 months after enrollment completion |