Evaluation of the effectiveness of cardiac cine MRI examinations using compressed sensing and AI

Evaluation of the effectiveness of cardiac cine MRI examinations using a combination of deep learning and compressed sensing - Evaluation of the effectiveness of cardiac cine MRI examinations using AI and CS

Status

Active, not recruiting

Phases

Unknown

Study type

Interventional

Source

JPRN

Registry ID

JPRN-UMIN000058545

Enrollment

Registered

2025-07-22

Start date

2025-07-20

Completion date

Unknown

Last updated

2026-06-29

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

heart disease

Interventions

Multiple acceleration factors (AF = 2, 5, 10, 15, etc.) are set for CS, and cine MRI is imaged using both the conventional method (cine MRI without DL) and cine MRI with DL. Images of the left ventric

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: 1) Healthy volunteers aged 20 years or older with no history of heart disease 2) persons who have been informed about the research in advance and have given their consent

Exclusion criteria

Exclusion criteria: 1) persons who could not give research consent 2) claustrophobic person

Design outcomes

Primary

Measure	Time frame
Image quality evaluation	—

Secondary

Measure	Time frame
inspection time	—

Countries

Japan

Contacts

Public ContactSho Akasaka

Ehime University Hospital radiology

akasaka.sho.xg@ehime-u.ac.jp089-960-5371

Outcome results

None listed

Source: JPRN (via WHO ICTRP) · Data processed: Jul 3, 2026