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Research on the Application of Noise Reduction for 1.5T Magnetic Resonance Pituitary 3D Scans Based on Deep Learning Image Reconstruction Processing

Research on the Application of Noise Reduction for 1.5T Magnetic Resonance Pituitary 3D Scans Based on Deep Learning Image Reconstruction Processing

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2600123352
Enrollment
Unknown
Registered
2026-04-24
Start date
2026-05-04
Completion date
Unknown
Last updated
2026-05-04

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

Conditions

3D-MRI can accurately identify tiny lesions (such as microadenoma and pituitary inflammation), show the pituitary stalk and the neuropituitary gland, and evaluate whether the pituitary stalk is shifted, interrupted or thickened (such as central diabetes insipidus is often accompanied by thickening of the pituitary stalk or the disappearance of the "highlight" of the neuropituitary gland) to avoid

Interventions

Observation group:None

Sponsors

Meishan City Peoples Hospital
Lead Sponsor

Eligibility

Sex/Gender
All
Age
8 Years to 19 Years

Inclusion criteria

Inclusion criteria: 1. The informed consent of the patient and his family before the examination; 2. 8 to 19 years old; 3. Clinical requirements for pituitary MRI examination.

Exclusion criteria

Exclusion criteria: 1. There are metal implants and pacemakers incompatible with MR in the body; 2. People with seizures, neurostimulation and claustrophobia; 3. Patients with high fever; 4. Patients in critical condition.

Design outcomes

Primary

MeasureTime frame
Image signal-to-noise ratio;Image sharpness;

Secondary

MeasureTime frame
Image artefacts;Image noise;Overall image quality;

Countries

China

Contacts

Public ContactHe Li

Meishan City Peoples Hospital

403755828@qq.com+86 28 3822 2989

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: May 7, 2026