A dóziscsökkentés lehetőségei CT-képalkotás során az iteratív képrekonstrukció alkalmazásával

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

Research output: Article

Abstract

Introduction and aim: 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. Method: 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. Results: 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). Conclusion: 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.

Original languageHungarian
Pages (from-to)1387-1394
Number of pages8
JournalOrvosi hetilap
Volume160
Issue number35
DOIs
Publication statusPublished - jan. 1 2019

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Computer-Assisted Image Processing
Radiation Protection
Signal-To-Noise Ratio
Nonparametric Statistics
Ionizing Radiation
Noise
Radiation
Surveys and Questionnaires
Radiation Exposure

Keywords

  • CT image quality
  • Iterative reconstruction
  • Radiation dose optimization

ASJC Scopus subject areas

  • Medicine(all)

Cite this

Gábor, B., Anett, T., Tamás, D., Péter, K., Dávid, S., András, P. A., ... Árpád, K. (2019). A dóziscsökkentés lehetőségei CT-képalkotás során az iteratív képrekonstrukció alkalmazásával. Orvosi hetilap, 160(35), 1387-1394. https://doi.org/10.1556/650.2019.31480

A dóziscsökkentés lehetőségei CT-képalkotás során az iteratív képrekonstrukció alkalmazásával. / Gábor, Bajzik; Anett, Tóth; Tamás, Donkó; Péter, Kovács; Dávid, Sipos; András, Pandur Attila; Mariann, Moizs; Janaki, Hadjiev; Repa, I.; Árpád, Kovács.

In: Orvosi hetilap, Vol. 160, No. 35, 01.01.2019, p. 1387-1394.

Research output: Article

Gábor, B, Anett, T, Tamás, D, Péter, K, Dávid, S, András, PA, Mariann, M, Janaki, H, Repa, I & Árpád, K 2019, 'A dóziscsökkentés lehetőségei CT-képalkotás során az iteratív képrekonstrukció alkalmazásával', Orvosi hetilap, vol. 160, no. 35, pp. 1387-1394. https://doi.org/10.1556/650.2019.31480
Gábor, Bajzik ; Anett, Tóth ; Tamás, Donkó ; Péter, Kovács ; Dávid, Sipos ; András, Pandur Attila ; Mariann, Moizs ; Janaki, Hadjiev ; Repa, I. ; Árpád, Kovács. / A dóziscsökkentés lehetőségei CT-képalkotás során az iteratív képrekonstrukció alkalmazásával. In: Orvosi hetilap. 2019 ; Vol. 160, No. 35. pp. 1387-1394.
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AU - Gábor, Bajzik

AU - Anett, Tóth

AU - Tamás, Donkó

AU - Péter, Kovács

AU - Dávid, Sipos

AU - András, Pandur Attila

AU - Mariann, Moizs

AU - Janaki, Hadjiev

AU - Repa, I.

AU - Árpád, Kovács

PY - 2019/1/1

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N2 - Introduction and aim: 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. Method: 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. Results: 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). Conclusion: 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.

AB - Introduction and aim: 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. Method: 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. Results: 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). Conclusion: 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.

KW - CT image quality

KW - Iterative reconstruction

KW - Radiation dose optimization

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