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[Possibilities of dose reduction during CT imaging by application of iterative image reconstruction].

作者信息

Bajzik Gábor, Tóth Anett, Donkó Tamás, Kovács Péter, Sipos Dávid, Pandur Attila András, Moizs Mariann, Hadjiev Janaki, Repa Imre, Kovács Árpád

机构信息

Dr. Baka József Diagnosztikai, Onkoradiológiai, Kutatási és Oktatási Központ, Somogy Megyei Kaposi Mór Oktató Kórház Kaposvár.

Medicopus Nonprofit Kft. Kaposvár.

出版信息

Orv Hetil. 2019 Sep;160(35):1387-1394. doi: 10.1556/650.2019.31480.

DOI:10.1556/650.2019.31480
PMID:31448645
Abstract

In case of imaging modalities using ionizing radiation, radiation exposure of the patients is a vital issue. It is important to survey the various dose-reducing techniques to achieve optimal radiation protection while keeping image quality on an optimal level. We reprocessed 105 patients' data prospectively between February and April 2017. The determination of the radiation dose was based on the effective dose, calculated by multiplying the dose-length product (DLP) and dose-conversation coefficient. In case of image quality we used signal-to-noise ratio (SNR) based on manual segmentation of region of interest (ROI). For statistical analysis, one sample t-test and Wilcoxon signed rank test were used. Using iterative reconstruction, the effective dose was significantly lower (p<0.001) in both native and contrast-enhanced abdominal, contrast-enhanced chest CT scans and in the case of the total effective dose. At native and contrast-enhanced abdominal CT scans, the noise content of the images showed significantly lower (p<0.001) values for iterative reconstruction images. At contrast-enhanced chest CT scans there was no significant difference between the noise content of the images (p>0.05). Using iterative reconstruction, it was possible to achieve significant dose reduction. Since the noise content of the images was not significantly higher using the iterative reconstruction compared to the filtered back projection, further dose reduction can be achievable while preserving the optimal quality of the images. Orv Hetil. 2019; 160(35): 1387-1394.

摘要

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