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The application value of deep learning reconstruction in upper abdomen magnetic resonance imaging

The application value of deep learning reconstruction in upper abdomen magnetic resonance imaging

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2300067968
Enrollment
Unknown
Registered
2023-02-01
Start date
2023-02-01
Completion date
Unknown
Last updated
2023-05-15

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

Conditions

None

Interventions

Conventional:N/A
High-resolution:N/A
Fast upper abdomen MRI scan:N/A

Sponsors

West China Hospital, Sichuan University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 70 Years

Inclusion criteria

Inclusion criteria: 1. age=18; 2. no surgery history in upper abdomen; 3. not febrile and critical patient; 4. hold breath well and no obvious motion artifact.

Exclusion criteria

Exclusion criteria: 1. MR-restricted metallic implants and pacemaker; 2. get pregnant; 3. epileptic; 4. clautrophobic; 5. nerve irration; 6. severe susceptibility artifact.

Design outcomes

Primary

MeasureTime frame
signal-to-noise ratio,SNR;Contrast-to-noise ratio,CNR;Subjective image quality;—

Countries

China

Contacts

Public ContactZhenlin Li

West China Hospital, Sichuan University

lzlcd01@126.com+86 18980602130

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026