Application of ASIR and Windowing to Image Anatomical Information of CT Scan Stonography
Journal Title: International Journal of Allied Medical Sciences and Clinical Research - Year 2018, Vol 5, Issue 4
Abstract
Background One disadvantage CT Scan Stonography is generated imagery has a high noise level. Adaptive Statistical Iterative Reconstruction (ASIR) is the latest in image reconstruction method to minimize noise and improve anatomical information of CT Scan. CT Scan image display is also influenced by the setting Windowing. Objective Assessing optimization ASIR and Windowing on image of CT Scan Stonography to value optimal anatomical information of CT Scan Stonography. Methods The type of this study was quasi experimental with the post test only design. Samples of study about 10 samples in each treatment group implementation of the application ASIR with Windowing. Assessment anatomical information is conducted independenly by two radiologists, analyzed by using the Kruskal Wallis test and continuing with Mann Whitney test. Results There were difference between image anatomical information (p value < 0,001) after the application of ASIR and windowing. Conclusion The use combination of ASIR 40% with WW350 and WL64 is the most optimal for the image anatomical information on the image of CT Scan Stonography with mean rank 89,75. Recommendation Application of percentage ASIR 40% with WW350;WL64 at the image of CT Scan Stonography can be used to generate the most optimal image quality and anatomical information.
Authors and Affiliations
Saifudin .
Keywords
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