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Respiratory motion modelling for MR-guided lung cancer radiotherapy: model development and geometric accuracy evaluation.

Björn EibenJenny BertholetElena Huong TranAndreas WetscherekAnna-Maria ShiarliSimeon NillUwe OelfkeJamie R McClelland
Published in: Physics in medicine and biology (2024)
isotropic voxels. For the simulated case with the largest target motion, the motion model achieved a mean deformation field error of 1.13mm. For the patient cases residual error registrations estimate the model error to be 1.07mm (1.64mm), 0.91mm (1.32mm), and 0.88m (1.33mm) in superior-inferior, anterior-posterior, and left-right directions respectively for the building (application) data.

Significance: The motion modelling framework estimates the patient motion with high accuracy and accurately reconstructs the anatomy. The image acquisition scheme can be flexibly integrated into an MR-Linac workflow whilst maintaining the capability of online motion-management strategies based on cine imaging such as target tracking and/or gating.&#xD.
Keyphrases
  • high speed
  • case report
  • magnetic resonance
  • electronic health record
  • high resolution
  • squamous cell carcinoma
  • social media
  • machine learning