<abstract xmlns="http://www.w3.org/1999/xhtml">

<italic>Purpose:</italic> This study aims to develop a software tool for investigating patient centering profiles of axial CT images and to implement it to evaluate practices in three hospitals in Indonesia.
<italic>Methods:</italic> The evaluation of patient centering accuracy was conducted by comparing the center coordinate of the patient’s image to the center coordinates of the axial CT image. This process was iterated for all slices to yield an average patient mis-centering in both the x- and y-axis. We implemented the software to evaluate the profile of centering on 268 patient images from the head, thorax, and abdomen examinations taken from three hospitals.
<italic>Results:</italic> We found that 82% of patients were mis-centered in the y-axis (i.e., placed more than 5 mm from the iso-center), with 49% of patients placed 10–35 mm from the iso-center. Most of the patients had a tendency to be placed below the iso-centers. In head examinations, patients were more precisely positioned than in the other examinations. We did not find any significant difference in mis-centering between males and females. We found that there was a slight difference between mis-centering in adult and pediatric patients.
<italic>Conclusion:</italic> Software for automated patient centering was successfully developed. Patients in three hospitals in Indonesia had a tendency to be placed under the iso-center of the gantry.
</abstract>

Purpose: This study aims to develop a software tool for investigating patient centering profiles of axial CT images and to implement it to evaluate practices in three hospitals in Indonesia.
Methods: The evaluation of patient centering accuracy was conducted by comparing the center coordinate of the patient’s image to the center coordinates of the axial CT image. This process was iterated for all slices to yield an average patient mis-centering in both the x- and y-axis. We implemented the software to evaluate the profile of centering on 268 patient images from the head, thorax, and abdomen examinations taken from three hospitals.
Results: We found that 82% of patients were mis-centered in the y-axis (i.e., placed more than 5 mm from the iso-center), with 49% of patients placed 10–35 mm from the iso-center. Most of the patients had a tendency to be placed below the iso-centers. In head examinations, patients were more precisely positioned than in the other examinations. We did not find any significant difference in mis-centering between males and females. We found that there was a slight difference between mis-centering in adult and pediatric patients.
Conclusion: Software for automated patient centering was successfully developed. Patients in three hospitals in Indonesia had a tendency to be placed under the iso-center of the gantry.

Automated patient centering of computed tomography images and its implementation to evaluate clinical practices in three hospitals in Indonesia

Department of Physics, Faculty of Sciences and Mathematics

Department of Applied Physics and Medical Imaging

California State University Channel Islands

Polish Journal of Medical Physics and Engineering

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Purpose: This study aims to develop a software tool for investigating patient centering profiles of axial CT images and to implement it to evaluate practices...

Automated patient centering of computed tomography images and its implementation to evaluate clinical practices in three hospitals in Indonesia

Publié en ligne: 15 déc. 2022

Pages: 207 - 214

Reçu: 24 août 2022

Accepté: 05 nov. 2022

DOI: https://doi.org/10.2478/pjmpe-2022-0024

Mots clés
iso-center, mis-centering, centering profile

© 2022 Choirul Anam et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Automated patient centering of computed tomography images and its implementation to evaluate clinical practices in three hospitals in Indonesia

Publié en ligne: 15 déc. 2022

Pages: 207 - 214

Reçu: 24 août 2022

Accepté: 05 nov. 2022

DOI: https://doi.org/10.2478/pjmpe-2022-0024

Mots clésiso-center, mis-centering, centering profile

© 2022 Choirul Anam et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Mots clés
iso-center, mis-centering, centering profile