Impact of knowledge-based iterative model reconstruction on image quality and hemodynamic parameters in dynamic myocardial computed tomography perfusion imaging

Impact of knowledge-based iterative model reconstruction on image quality and hemodynamic parameters in dynamic myocardial computed tomography perfusion imaging - Feasibility of IMR for dynamic myocardial CTP

Status

Active, not recruiting

Phases

Unknown

Study type

Observational

Source

JPRN

Registry ID

JPRN-UMIN000022701

Enrollment

Registered

2016-06-21

Start date

2015-03-01

Completion date

Unknown

Last updated

2026-06-29

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

Conditions

Coronary artery disease

Interventions

None listed

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: (1) no known coronary artery disease (2) no history of percutaneous coronary intervention and coronary artery bypass graft (3) no significant stenosis (50% and more stenosis) on coronary CT angiography (4) no visual perfusion abnormality on CT perfusion (5) no shortage of scan coverage for whole-heart CTP

Exclusion criteria

Exclusion criteria: (1) cardiomyopathy (2) severe LV dysfunction (ejection fraction less than 20%) (3) chronic atrial fibrillation (4) greater than first degree atrioventricular block (5) left complete bundle branch block (6) valvular heart disease

Design outcomes

Primary

Measure	Time frame
1, Visual image quality in dynamic myocardial CTP among FBP, HIR and IMR. 2, Quantitative image quality (SD, SNR, CNR) in dynamic myocardial CTP among FBP, HIR and IMR. 3, Hemodynamic parameters' value and SNR of myocardial perfusion (myocardial blood flow, myocardial blood volume, mean transit time) among FBP, HIR and IMR.	—

Countries

Japan

Contacts

Public ContactYuki Tanabe

Ehime University Graduate School of Medicine Department of Radiology

yuki.tanabe.0225@gmail.com089-960-5371

Outcome results