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Related Experiment Video

Updated: Apr 6, 2026

Computerized Dynamic Posturography for Postural Control Assessment in Patients with Intermittent Claudication
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Development of an automatic evaluation method for patient positioning error.

Yoshiki Kubota1, Mutsumi Tashiro, Ayaka Shinohara

  • 1Gunma University Heavy Ion Medical Center. y_kubota@gunma-u.ac.jp.

Journal of Applied Clinical Medical Physics
|July 29, 2015
PubMed
Summary

An automated method accurately measures patient positioning errors in radiotherapy, improving efficiency and reliability compared to manual techniques. This innovation enhances cancer treatment throughput and accuracy.

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Area of Science:

  • Medical Physics
  • Radiotherapy Technology
  • Image Analysis

Background:

  • Accurate patient positioning is crucial for effective radiotherapy.
  • Current manual positioning error measurement is time-consuming and prone to errors.
  • Radiotherapy facilities require improved methods for patient alignment.

Purpose of the Study:

  • To develop and validate an automated method for measuring patient positioning errors in radiotherapy.
  • To enhance the reliability and efficiency of patient positioning processes.
  • To reduce the manual labor and potential inaccuracies associated with current methods.

Main Methods:

  • Implemented an automated block-matching algorithm to calculate positioning errors between digital radiography (DR) and digitally reconstructed radiography (DRR) images.
  • Utilized zero-mean normalized cross correlation as the evaluation function, incorporating a Gaussian weight function emphasizing the isocenter.
  • Validated the method using pelvic phantom images and subsequently on prostate cancer patient images, comparing results with manual measurements by radiology technicians.

Main Results:

  • The automated method achieved a root mean square error (RMSE) of 0.23 ± 0.05 mm for pelvic phantom images.
  • High correlation coefficients (0.989 for phantom, 0.980 for patient images) were observed between the automated method and manual measurements.
  • The overall RMSE for prostate cancer patient positioning was 0.32 ± 0.18 mm, demonstrating successful measurement of residual errors.

Conclusions:

  • The proposed automated method for measuring patient positioning errors is accurate and effective.
  • This automated approach offers significant improvements in reliability and efficiency for radiotherapy patient positioning.
  • Future applications include extending the method to other cancer treatment sites, potentially improving overall treatment throughput.