2016
DOI: 10.1117/1.jmi.3.2.024001
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Evaluation of static and dynamic perfusion cardiac computed tomography for quantitation and classification tasks

Abstract: Abstract. Cardiac computed tomography (CT) acquisitions for perfusion assessment can be performed in a dynamic or static mode. Either method may be used for a variety of clinical tasks, including (1) stratifying patients into categories of ischemia and (2) using a quantitative myocardial blood flow (MBF) estimate to evaluate disease severity. In this simulation study, we compare method performance on these classification and quantification tasks for matched radiation dose levels and for different flow states, … Show more

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Cited by 2 publications
(5 citation statements)
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“…In this study, static MPCT images and dynamic MPCT images were generated. In the static case, 3D MPCT data were generated during left ventricular cavity peak enhancement from 3 ml/min/g to the true perfusion level for the 70 kg patient injected with 100 ml of contrast (Bindschadler et al 2014, Bindschadler et al 2016. On the other hand, in the dynamic case, MPCT data were simulated with a cardiac output of 8 l • min −1 and perfusion level of 3 ml/min/g (Bindschadler et al 2014, Bindschadler et al 2016.…”
Section: Digital Xcat Phantommentioning
confidence: 99%
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“…In this study, static MPCT images and dynamic MPCT images were generated. In the static case, 3D MPCT data were generated during left ventricular cavity peak enhancement from 3 ml/min/g to the true perfusion level for the 70 kg patient injected with 100 ml of contrast (Bindschadler et al 2014, Bindschadler et al 2016. On the other hand, in the dynamic case, MPCT data were simulated with a cardiac output of 8 l • min −1 and perfusion level of 3 ml/min/g (Bindschadler et al 2014, Bindschadler et al 2016.…”
Section: Digital Xcat Phantommentioning
confidence: 99%
“…In the static case, 3D MPCT data were generated during left ventricular cavity peak enhancement from 3 ml/min/g to the true perfusion level for the 70 kg patient injected with 100 ml of contrast (Bindschadler et al 2014, Bindschadler et al 2016. On the other hand, in the dynamic case, MPCT data were simulated with a cardiac output of 8 l • min −1 and perfusion level of 3 ml/min/g (Bindschadler et al 2014, Bindschadler et al 2016. The scanning time was 30 s with 30 cardiac cycles in a sampling interval of 1 s between the sequential end-diastolic images, under the assumption of no respiratory motion and ideal end-diastolic gating.…”
Section: Digital Xcat Phantommentioning
confidence: 99%
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