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Related Experiment Video

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Organ-contour-driven auto-matching algorithm in image-guided radiotherapy.

Yukako Kishigami1, Mitsuhiro Nakamura1, Hiroyuki Okamoto2

  • 1Department of Advanced Medical Physics, Graduate School of Medicine, Kyoto University, Kyoto, Japan.

Journal of Applied Clinical Medical Physics
|November 23, 2023
PubMed
Summary
This summary is machine-generated.

An organ-contour-driven auto-matching algorithm for image-guided radiotherapy offers clinical potential. This method ensures consistent positioning and minimal impact from rotational corrections on planning target volume coverage.

Keywords:
inter-observer variabilityorgan-contour-driven auto-matchingsoft-tissue

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Area of Science:

  • Medical Physics
  • Radiation Oncology
  • Image Processing

Background:

  • Image-guided radiotherapy (IGRT) requires precise patient positioning.
  • Organ contour information can enhance the accuracy of IGRT positioning.
  • Cervical cancer treatment involves complex target volumes and organs at risk.

Purpose of the Study:

  • To evaluate the clinical applicability of an organ-contour-driven auto-matching algorithm for IGRT.
  • To assess the algorithm's ability to generate consistent and accurate patient positioning.
  • To determine the impact of rotational corrections on planning target volume (PTV) coverage.

Main Methods:

  • Developed a weight-based auto-matching algorithm using mesh models of daily and reference MRI scans.
  • Implemented a cost function prioritizing specific organs for positioning in three scenarios.
  • Optimized translation and rotation values for cervix and uterus, with a rotation limit of ±3°.
  • Evaluated PTV coverage using isotropic 5 mm and anisotropic margins.

Main Results:

  • Translations exceeding 10 mm occurred in 9-18% of fractions, varying by scenario.
  • Over 80% of fractions achieved ≥80% coverage for small PTVs, and >90% achieved ≥95% coverage for large PTVs.
  • Rotational corrections (±3°) had a minimal impact (<1% difference in median coverage) compared to translational positioning alone.

Conclusions:

  • The organ-contour-driven algorithm enables quantitative and prioritized organ positioning in IGRT.
  • Consistent displacement values were algorithmically generated, demonstrating reliability.
  • Limited rotational corrections (±3°) minimally affected PTV coverage, simplifying the positioning process.