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An image-based method to synchronize cone-beam CT and optical surface tracking.

Aurora Fassi1, Joël Schaerer, Marco Riboldi

  • 1Politecnico di Milano. aurora.fassi@polimi.it.

Journal of Applied Clinical Medical Physics
|June 24, 2015
PubMed
Summary
This summary is machine-generated.

A new image-based method synchronizes X-ray imaging and optical surface tracking for image-guided radiotherapy (IGRT). This technique accurately correlates internal tumor motion with external surrogates, improving extracranial radiation treatments.

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Area of Science:

  • Medical Physics
  • Radiation Oncology
  • Image-Guided Therapy

Background:

  • Image-guided radiotherapy (IGRT) increasingly integrates in-room X-ray imaging and optical surface tracking.
  • Accurate temporal synchronization of X-ray projections and surface data acquisition is crucial for effective IGRT.
  • Existing methods may require additional hardware, posing practical challenges.

Purpose of the Study:

  • To present an image-based, hardware-free method for synchronizing cone-beam computed tomography (CBCT) and optical surface systems.
  • To establish temporal correspondence between X-ray projection acquisition and surface data capture.
  • To evaluate the accuracy and clinical applicability of the proposed synchronization technique.

Main Methods:

  • Optically tracked motion of a rotating CBCT/gantry component during CBCT acquisition.
  • A calibration procedure relating optical system data to elapsed time for temporal correspondence.
  • Simultaneous acquisitions on a moving phantom and clinical data from lung cancer patients.

Main Results:

  • Median time differences between synchronized CBCT and optical surface systems ranged from -3.1 to 12.9 msec on a moving phantom.
  • Maximum interquartile range of motion signal peaks was 14.4 msec, indicating high synchronization accuracy.
  • Clinical data demonstrated potential for estimating respiratory variations and motion correlation between internal and external structures.

Conclusions:

  • The presented image-based synchronization method is accurate and does not require additional hardware.
  • This technique facilitates the correlation of internal tumor motion with external surface surrogates.
  • It holds significant potential for tumor tracking and patient-specific breathing models in extracranial radiation treatments.