Improvement in automated quantitation of myocardial perfusion abnormality by using iterative reconstruction image in combination with resolution recovery, attenuation and scatter corrections for the detection of coronary artery disease

Ahmed, Right to Be Forgotten: A Critique of the Post-Costeja Gonzalez Paradigm, 21(6) C.T.L.R.. Start-ups and smaller companies will be able to access data markets dominated

Background: The purpose of this study was to apply an artificial neural network (ANN) in patients with coronary artery disease (CAD) and to characterize its diagnostic

In this study, we investigated whether selecting reconstruction kernels with higher spatial resolutions (harder kernels) can compensate for the reduction in the spatial resolution

Abstract The purpose of our study was to investigate the validity of a spatial resolution measuring method that uses a combination of a bar-pattern phantom and an image-

myocardial perfusion imaging; normal database; Japanese Society of Nuclear Medicine working group; coronary artery disease;

We compared CT image qualities of iNoir with FBP and ASIR using phantom tests corresponding to pediatric abdominal CT and a human observer test using clinical images..

The major results of the present study are that patients with SSc have a high frequency of diastolic dysfunction and sympathetic abnormality as detected by myocardial perfusion

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