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Role Motion Correction Algorithm Improves Image Quality in CT Coronary Angiography

Influence of motion correction reconstruction on the image quality of Computed Tomography Coronary Angiography. - nil

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
CTRI
Registry ID
CTRI/2025/04/083962
Enrollment
135
Registered
2025-04-03
Start date
Unknown
Completion date
Unknown
Last updated
2025-04-28

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

Conditions

Health Condition 1: I798- Other disorders of arteries, arterioles and capillaries in diseases classified elsewhere

Interventions

Control Intervention1: NIL: NIL

Sponsors

NIL
Lead Sponsor

Eligibility

Inclusion criteria

Inclusion criteria: Patients with suspected or known cases of coronary vascular disease.

Exclusion criteria

Exclusion criteria: Patients with a cardiac peacemaker Patients who had undergone TAVR, artery bypass/stent placement

Design outcomes

Primary

MeasureTime frame
To investigate the Influence of Motion Correction Reconstruction (MCR) on Contrast-to-Noise Ratio (CNR), Signal-to-Noise Ratio (SNR), and subjective scores of image quality in Computed Tomography Coronary Angiography (CTCA) Timepoint: FEB 2025 TO FEB 2026—

Secondary

MeasureTime frame
NILTimepoint: NIL—

Countries

India

Contacts

Public ContactVISAKH T

Manipal College of Health Professions, MAHE, Manipal.

vemulavamsi90@gmail.com09494346763

Outcome results

None listed

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