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A phantom study to evaluate three different registration platform of 3D/3D, 2D/3D, and 3D surface match with 6D alignment for precise image-guided radiotherapy.

Hsiang-Chi KuoDale Michael LovelockGuang LiÅse BallangrudBrian WolthuisCesar Della BianciaMargie A HuntSean L Berry
Published in: Journal of applied clinical medical physics (2020)
3D3D using CBCT had the best image registration accuracy among all the tested methods. 2D3D method was slightly inferior to the 3D3D method but was still acceptable as a treatment position verification device. 3DS is comparable to 2D3D technique and could be a substitute for X-ray or CBCT for pretreatment verification for treatment of anatomical sites that are rigid.
Keyphrases
  • image quality
  • early stage
  • deep learning
  • squamous cell carcinoma
  • high throughput
  • machine learning
  • mass spectrometry
  • radiation induced
  • cone beam computed tomography
  • dual energy
  • single cell