Investigation of the usefulness of high-speed coronary MRA imaging with AI

Combining deep learning reconstruction and compressive sensing investigation of the usefulness of high-speed coronary MRA imaging method - A study of coronary MRA high-speed imaging method using AI and CS in combination

Status

Active, not recruiting

Phases

Unknown

Study type

Interventional

Source

JPRN

Registry ID

JPRN-UMIN000053064

Enrollment

Registered

2023-12-20

Start date

2024-01-05

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

myocardial infarction, angina pectoris

Interventions

The CS coronary MRA data will be anonymized and transferred to a dedicated server in collaboration with GE Healthcare Japan. The imaging data will be reconstructed using deep learning and transferred

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: 1) healthy volunteer cases who are 20 years of age or older and have no previous coronary artery 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 ContactKohei Tabo

Ehime University Hospital radiology

tabo.kohei.xt@ehime-u.ac.jp089-960-5371

Outcome results

None listed

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