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Evaluation of Dose Calculation Based on Cone-Beam CT Using Different Measuring Correction Methods for Head and Neck

Hanshun Gong1, Bo Liu2, Gaolong Zhang3

  • 1Department of Radiation Oncology, 104607The First Medical Center of PLA General Hospital, Beijing, China.

Technology in Cancer Research & Treatment
|January 13, 2023
PubMed
Summary

Histogram matching (HM) is a superior method for correcting cone-beam computed tomography (CBCT) Hounsfield unit values in head and neck cancer patients, improving dose calculation accuracy compared to the physical density (HD) method.

Keywords:
HU-density mapHounsfield unit (HU)adaptive radiation therapycone-beam computed tomographydeformable image registrationhistogram matching algorithm

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Area of Science:

  • Medical Physics
  • Radiotherapy Oncology
  • Image-guided Radiation Therapy

Background:

  • Accurate dose calculation in radiotherapy relies on precise Hounsfield Unit (HU) values from CT imaging.
  • Cone-beam computed tomography (CBCT) offers in-room imaging but requires HU correction for reliable dose calculations.
  • Head and neck cancer patients undergoing VMAT treatment necessitate robust CBCT-based dose calculations.

Purpose of the Study:

  • To compare two distinct methods for correcting CBCT Hounsfield Unit (HU) values: histogram matching (HM) and a physical density (HD) curve approach.
  • To evaluate the impact of these CBCT correction methods on dose calculation accuracy for head and neck cancer patients treated with VMAT.
  • To determine the optimal CBCT correction strategy for improving radiotherapy treatment planning.

Main Methods:

  • Retrospective analysis of CBCT and kVCT image sets from 12 head and neck cancer patients.
  • Application of two CBCT correction methods: HD method (protocol-specific HU to physical density curve) and HM method (histogram matching).
  • Deformable registration and padding of CBCT images with kVCT data for enhanced anatomical information and dose calculation.

Main Results:

  • Both CBCT correction methods resulted in dose calculation deviations of less than 2% for target volumes compared to kVCT.
  • The HM method demonstrated statistically significant improvements in dose calculations for parallel organs (e.g., parotid glands) and reduced dose to the oral cavity (V30) compared to the HD method.
  • Gamma passing rates showed negligible differences between kVCT and both CBCT-corrected plans, indicating overall plan quality.

Conclusions:

  • The histogram matching (HM) method is more suitable for CBCT-based dose calculation in head and neck cancer patients than the physical density (HD) method.
  • CBCT images corrected using the HM method provide dose calculation results that closely align with kVCT-based dose calculations.
  • The HM method enhances the reliability of CBCT for adaptive radiotherapy and dose verification in clinical practice.