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On average, half doseĪcquisitions increased the RMSE of estimates by only 18% suggesting that substantial dose reductions can be employed Sampling or reduced tube current had comparable impact on the MBF estimate fidelity. For quantitative methods, dose reduction through reduced temporal
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(RMSE = ~1.2 and ~1.2 ml/min/g respectively). Semi-quantitative modeling and qualitative static imaging resulted in significantly more error Modeling yielded blood flow estimates with an root mean square error (RMSE) of ~0.6 ml/g/min averaged across Generated and multiple MBF estimation methods were applied to each of these. In total, 2,700 independent realizations of dynamic sequences were Time attenuation curves were extracted for multiple regionsĪround the myocardium and used to estimate flow. Images were generated using conventional image reconstruction with additional image-basedīeam hardening correction to account for iodine content. Realistic x-ray flux levels for dynamic acquisitions with a range of scenarios including 1, 2, 3 sec sampling for 30 sec
#JUSTIN ROSE AXIS PROTOTYPE 1 SIMULATOR#
CT acquisitions were simulated with a validated CT simulator incorporating polyenergetic data acquisition and Techniques to evaluate the performance of perfusion assessment across a range of acquisition and estimation scenarios.Ĭardiac CT acquisitions were simulated for a range of flow states (Flow = 0.5, 1, 2, 3 ml/g/min, cardiac output = 3,5,8 This work developed a thorough dynamic CT simulation and several accepted blood flow estimation
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There is a lack of knowledge and consensus on theĪppropriate approach to ensure 1) sufficient diagnostic accuracy for clinical decisions and 2) low radiation doses for Proposed to assess perfusion with static and dynamic acquisitions. Contrast enhancement on cardiac CT provides valuable information about myocardial perfusion and methods have been