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Related Concept Videos

Deformation of Member under Multiple Loadings01:11

Deformation of Member under Multiple Loadings

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When a rod is made of different materials or has various cross-sections, it must be divided into parts that meet the necessary conditions for determining the deformation. These parts are each characterized by their internal force, cross-sectional area, length, and modulus of elasticity. These parameters are then used to compute the deformation of the entire rod.
In the case of a member with a variable cross-section, the strain is not constant but depends on the position. The deformation of an...
514

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Representing the dosimetric impact of deformable image registration errors.

Jason Vickress1, Jerry Battista1,2,3, Rob Barnett1,2,3

  • 1Department of Medical Biophysics, University of Western Ontario, London, ON, Canada.

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|August 12, 2017
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Summary

Deformable image registration (DIR) errors can impact radiation therapy dose calculations. This study quantines these errors using landmarks, finding the distance discordance metric (DDM) best predicts dose uncertainty.

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Area of Science:

  • Medical Physics
  • Radiotherapy
  • Image Analysis

Background:

  • Deformable image registration (DIR) is crucial for cumulative dose calculation in fractionated radiation therapy.
  • DIR algorithm variability and image quality can lead to registration and dose accumulation errors.

Purpose of the Study:

  • To characterize DIR errors across image space and assess their impact on dosimetric analysis.
  • To evaluate different metrics for predicting the range of dose uncertainty (RDU) caused by DIR errors.

Main Methods:

  • Utilized 10 thoracic 4DCT datasets with 300 landmarks each, comparing end-inspiration and end-expiration phases.
  • Performed DIR using MIM Maestro software and calculated RDU based on various DIR error measures, including the distance discordance metric (DDM).
  • Assessed RDU using magnitude of dose uncertainty (MDU) and inclusion rate (IR) of actual error.

Main Results:

  • The actual DIR error yielded the most representative RDU with an MDU of 2.5 Gy and an IR of 97%.
  • Among other metrics, the DDM was most predictive of actual DIR error, achieving an MDU of 2.5 Gy and an IR of 86%.
  • The proposed method effectively quantifies dosimetric uncertainty using landmarks or registration accuracy measures.

Conclusions:

  • The study provides a method to estimate dosimetric uncertainty stemming from DIR in radiation therapy.
  • The distance discordance metric (DDM) shows promise for predicting DIR-induced dose uncertainties.
  • Accurate characterization of DIR error is essential for reliable dose accumulation in radiotherapy planning.