Image quality evaluation of MRI images by denoising reconstruction technology using deep learning

Image quality evaluation of MRI images by denoising reconstruction technology using deep learning - Image quality evaluation of MRI images by denoising reconstruction technology using deep learning

Status

Active, not recruiting

Phases

Unknown

Study type

Interventional

Source

JPRN

Registry ID

JPRN-UMIN000052031

Enrollment

Registered

2023-09-01

Start date

2023-09-01

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

volunteer

Interventions

Participation period is only at the time of MRI imaging. MRI takes about 15 minutes.

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: Health volunteers over 20 years old There should be no history of disease or trauma requiring treatment such as surgery within the image area.

Exclusion criteria

Exclusion criteria: 1) People with pacemakers or tattoos that are contraindicated for MR examinations 2) Pregnant women 3) People with claustrophobia

Design outcomes

Primary

Measure	Time frame
It is expected to reduce inspection time while maintaining the same image quality as conventional imaging conditions, improve image quality by improving resolution, and reduce motion artifacts.	—

Countries

Japan

Contacts

Public Contactyuki deguchi

St.Marianna University Hospital Department of Radiological Technology

y.deguchi0418@marianna-u.ac.jp0449778111

Outcome results

None listed

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