Deep learning reconstruction for clearer cardiac MRI scans
The Clinical Value of Deep Learning-Based Reconstruction Techniques in Cardiac MRI Scanning
This project tests whether AI-based MRI sequences produce better heart images for adults who need a cardiac MRI.
Quick facts
| Study type | Observational |
|---|---|
| Enrollment | 50 (estimated) |
| Ages | 18 Years and up |
| Sex | All |
| Sponsor | Union Hospital, Tongji Medical College, Huazhong University of Science and Technology Academic / other |
| Locations | 1 site (Wuhan, Hubei) |
| Trial ID | NCT07274436 on ClinicalTrials.gov |
What this trial studies
Adults who underwent cardiac MRI at a single tertiary center are randomized into two groups: one scanned with deep learning–based reconstruction sequences and the other with conventional non-AI sequences. Image datasets from both groups will be compared for diagnostic image quality, adequacy for clinical interpretation, and related scan parameters. Patients with contraindications to MRI or incomplete scans are excluded. The work is performed at Union Hospital, Tongji Medical College, Huazhong University of Science and Technology in Wuhan.
Who should consider this trial
Good fit: Adults aged 18 or older who are scheduled for a clinically indicated cardiac MRI at the enrolling hospital and can provide informed consent are eligible.
Not a fit: People with contraindications to MRI, those who cannot complete the exam, minors, or those whose images are non-diagnostic are unlikely to benefit from participation.
Why it matters
Potential benefit: If successful, this approach could yield clearer or faster cardiac MRI scans that improve diagnostic confidence for clinicians and patients.
How similar studies have performed: Similar deep learning reconstruction methods have shown promising improvements in MRI image quality and scan efficiency in cardiac and other MRI applications, though broader clinical adoption is still emerging.
Eligibility criteria
Show full inclusion / exclusion criteria
Inclusion Criteria: 1. Patients requiring cardiac MRI in clinical practice; 2. Patient age ≥ 18 years; 3. The patient has signed an informed consent form. Exclusion Criteria: 1. Patients with contraindications to magnetic resonance imaging; 2. Patients who failed to complete the MRI examination or whose image quality was inadequate for diagnostic requirements; 3. Other circumstances deemed by clinical trial personnel as unsuitable for participation in this trial; 4. Subjects or their legal guardians voluntarily requesting to withdraw.
Where this trial is running
Wuhan, Hubei
- Union Hospital，Tongji Medical College，Huazhong University of Science and Technology — Wuhan, Hubei, China (Recruiting)
Study contacts
- Study coordinator: Lian Yang
- Email: yanglian@hust.edu.cn
- Phone: 18986273791
How to participate
- Review the eligibility criteria above with your treating physician.
- Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
- Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.