İteratif Rekonstrüksiyonun Koroner Bilgisayarlı Tomografi Anjiyografi Tetkikinde Görüntü Kalitesine ve Değerlendirilebilen Koroner Arter Segment Sayısına Etkisinin Araştırılması
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Abdullayev E, The Assessment of Iterative Reconstruction Impact on Diagnostic Image Quality, as well as Demonstration of the Entire Coronary Artery Segments in Coronary CT Angiography, Hacettepe University, Faculty Of Medicine, Department Of Radiology, Thesis In Radiology, Ankara, 2017. Our objectives is determine the effect of “Iterative Reconstruction in Image Space” (IRIS) on image quality by comparing Noise, signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR) of standard filtered back projection (FBP) and IRIS algorithm when evaluating coronary arteries and segmental branches during coronary computed tomographic (CT) angiography. Our prospective study population consisted of 250 consecutive patients who underwent coronary CTA for different reasons. Cardiac CT angiography was performed on a dual-source CT with retrospective ECG-gating and prospective ECG-triggering. Comparisons of paired results between FBP and IRIS images were analyzed in terms of image quality in coronary artery segmental branches. Noise, signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR) were obtained using the repeated measures from the same locations in both recontractions. Even though it was not the main goal of our study, the effect of dose reduction was also observed in our study. Another finding in our study is that IRIS significantly reduces the image noise and increases SNR and CNR values (p <0.001). Coronary artery segments were visually assessed by two blinded readers in both FBP and IRIS. Image quality was graded using a five-point Likert scale. Average interobserver compliance was 69.52% (ĸ=0.528-0.536, p<0.001). IRIS significantly improved the image quality of proximal arterial segments, has not signifitiant impact on better visulization of distal branches.