Deep learning reconstruction for clearer cardiac MRI scans

Is this trial a fit for you?

A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.

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.

Why it matters

Who can join: the full rules

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 it's running

• 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

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How to take part

1. Review the eligibility criteria above with your treating physician.
2. Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
3. Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.