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To analyse the image quality of CT cerebral angiography obtained using iterative reconstruction and AI based reconstruction algorithm.

Analysis of the image quality between iterative and AI based reconstruction algorithm in low tube voltage and low dose right index in CT cerebral angiography. - NIL

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
CTRI
Registry ID
CTRI/2024/04/065650
Enrollment
68
Registered
2024-04-15
Start date
Unknown
Completion date
Unknown
Last updated
2024-04-29

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

Conditions

Health Condition 1: G939- Disorder of brain, unspecified

Interventions

None listed

Sponsors

nil
Lead Sponsor

Eligibility

Inclusion criteria

Inclusion criteria: Age above 18 years

Exclusion criteria

Exclusion criteria: Patient with recent trauma or road accident uncooperative patients Patients with high creatinine value

Design outcomes

Primary

MeasureTime frame
Attenuation value of blood vessels, Image noise, Signal to noise ratio, contrast to noise ratio, qualitative image quality.Timepoint: 10 Months—

Secondary

MeasureTime frame
nilTimepoint: nil—

Countries

India

Contacts

Public ContactMr. Abhimanyu Pradhan

Manipal College of Health Professions

imnejongla.mchpmpl2023@learner.manipal.edu7085922645

Outcome results

None listed

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