Jurnal Ilmiah
Application of ASIR and Windowing to Image Anatomical Information of CT Scan Stonography
XMLABSTRACT
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.
Informasi Detail
Pernyataan Tanggungjawab | |
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Pengarang |
Rini Indrati - Pengarang Utama
SAIFUDIN - Pengarang Tambahan Ari Suwondo - Pengarang Tambahan Djamaluddin Ramlan - Pengarang Tambahan Dr. M. Choiroel Anwar, SKM. M.Kes - Pengarang Tambahan Hermina - Pengarang Tambahan |
NIM |
Dimuat dalam jurnal IJAMSCR
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Bahasa |
English
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Deskripsi Fisik |
page 941-946
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Dilihat sebanyak |
991
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Penerbit | Council of Scientific and Industrial Research : India., 2017 |
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Edisi |
Vol 5 Iss 4 Okt-Des 2017
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Subjek | |
Klasifikasi |
070
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