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Basic and clinical research of deep learning iterative reconstruction algorithm based on convolutional neural network in energy spectrum CT

Basic and clinical research of deep learning iterative reconstruction algorithm based on convolutional neural network in energy spectrum CT

Status
Recruiting
Phases
Unknown
Study type
Interventional
Source
ChiCTR
Registry ID
ChiCTR2500104183
Enrollment
Unknown
Registered
2025-06-12
Start date
2024-03-01
Completion date
Unknown
Last updated
2025-06-16

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

Conditions

Lung cancer

Interventions

Experimental group:Automatic tube voltage The patient image was reconstructed by AIIR algorithm
Control group:Tube voltage 120kVp The patient image was reconstructed by Karl algorithm

Sponsors

Affiliated Hospital of Hebei University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to No maximum

Inclusion criteria

Inclusion criteria: 1) Be over 18 years old; 2) BMI 13-35 kg/m^2.

Exclusion criteria

Exclusion criteria: Exclusion criteria: 1) Patients with iodine contrast allergy; 2) severe organ failure; 3) The scanning field has metal implants that affect the image quality; 4) decompensation period of cardiac insufficiency; 5) Pregnancy.

Design outcomes

Primary

MeasureTime frame
Contrast-to-noise ratio;Signal-to-noise ratio;Volume CT dose index;Dose-length product;Subjective image quality;—

Countries

China

Contacts

Public ContactZhao Yongxia

Affiliated Hospital of Hebei University

zyx_zyx999@163.com+86 151 3122 1591

Outcome results

None listed

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