ArticlePhysics in medicine and biology2014
Comparison of blood flow models and acquisitions for quantitative myocardial perfusion estimation from dynamic CT.
Article in Physics in medicine and biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
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Who cites it
31 citing papers in PubMed.
- Trial
- Protocol optimization and myocardial blood flow quantification in dynamic myocardial perfusion CT-where do we stand?European radiology · 2025Article
- Low-dose quantitative CT myocardial flow measurement using a single volume scan: phantom and animal validation.Journal of medical imaging (Bellingham, Wash.) · 2023Article
- A Multimodality Myocardial Perfusion Phantom: Initial Quantitative Imaging Results.Bioengineering (Basel, Switzerland) · 2022Article
- Knowledge of Hyperemic Myocardial Blood Flow in Healthy Subjects Helps Identify Myocardial Ischemia in Patients With Coronary Artery Disease.Frontiers in cardiovascular medicine · 2022Article
- Combining perfusion and angiography with a low-dose cardiac CT technique: a preliminary investigation in a swine model.The international journal of cardiovascular imaging · 2021Article
- Comparison of automated beam hardening correction (ABHC) algorithms for myocardial perfusion imaging using computed tomography.Medical physics · 2021Article
- Low-Radiation-Dose Stress Myocardial Perfusion Measurement Using First-Pass Analysis Dynamic Computed Tomography: A Preliminary Investigation in a Swine Model.Investigative radiology · 2019Article
- Dynamic Quantitative Iodine Myocardial Perfusion Imaging with Dual-Layer CT using a Porcine Model.Scientific reports · 2019Article
- SLICR super-voxel algorithm for fast, robust quantification of myocardial blood flow by dynamic computed tomography myocardial perfusion imaging.Journal of medical imaging (Bellingham, Wash.) · 2019Article
- Quantitative low-dose rest and stress CT myocardial perfusion imaging with a whole-heart coverage scanner improves functional assessment of coronary artery disease.International journal of cardiology. Heart & vasculature · 2019Article
- Accuracy of Myocardial Blood Flow Estimation From Dynamic Contrast-Enhanced Cardiac CT Compared With PET.Circulation. Cardiovascular imaging · 2019Article
- Timing optimization of low-dose first-pass analysis dynamic CT myocardial perfusion measurement: validation in a swine model.European radiology experimental · 2019Article
- Calibration-free beam hardening correction for myocardial perfusion imaging using CT.Medical physics · 2019Article
- Low CT temporal sampling rates result in a substantial underestimation of myocardial blood flow measurements.The international journal of cardiovascular imaging · 2019Article
- The role of acquisition and quantification methods in myocardial blood flow estimability for myocardial perfusion imaging CT.Physics in medicine and biology · 2018Article
- Quantitative myocardial perfusion from static cardiac and dynamic arterial CT.Physics in medicine and biology · 2018Article
- SLIC robust (SLICR) processing for fast, robust CT myocardial blood flow quantification.Proceedings of SPIE--the International Society for Optical Engineering · 2018Article
- [Redundancy information-induced image reconstruction for low-dose myocardial perfusion computed tomography].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2018Article
- Comprehensive Assessment of Coronary Artery Disease by Using First-Pass Analysis Dynamic CT Perfusion: Validation in a Swine Model.Radiology · 2018Article
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5 authors.
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Abstract
Myocardial blood flow (MBF) can be estimated from dynamic contrast enhanced (DCE) cardiac CT acquisitions, leading to quantitative assessment of regional perfusion. The need for low radiation dose and the lack of consensus on MBF estimation methods motivates this study to refine the selection of acquisition protocols and models for CT-derived MBF. DCE cardiac CT acquisitions were simulated for a range of flow states (MBF = 0.5, 1, 2, 3 ml (min g)(-1), cardiac output = 3, 5, 8 L min(-1)). Patient kinetics were generated by a mathematical model of iodine exchange incorporating numerous physiological features including heterogenenous microvascular flow, permeability and capillary contrast gradients. CT acquisitions were simulated for multiple realizations of realistic x-ray flux levels. CT acquisitions that reduce radiation exposure were implemented by varying both temporal sampling (1, 2, and 3 s sampling intervals) and tube currents (140, 70, and 25 mAs). For all acquisitions, we compared three quantitative MBF estimation methods (two-compartment model, an axially-distributed model, and the adiabatic approximation to the tissue homogeneous model) and a qualitative slope-based method. In total, over 11 000 time attenuation curves were used to evaluate MBF estimation in multiple patient and imaging scenarios. After iodine-based beam hardening correction, the slope method consistently underestimated flow by on average 47.5% and the quantitative models provided estimates with less than 6.5% average bias and increasing variance with increasing dose reductions. The three quantitative models performed equally well, offering estimates with essentially identical root mean squared error (RMSE) for matched acquisitions. MBF estimates using the qualitative slope method were inferior in terms of bias and RMSE compared to the quantitative methods. MBF estimate error was equal at matched dose reductions for all quantitative methods and range of techniques evaluated. This suggests that there is no particular advantage between quantitative estimation methods nor to performing dose reduction via tube current reduction compared to temporal sampling reduction. These data are important for optimizing implementation of cardiac dynamic CT in clinical practice and in prospective CT MBF trials.
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