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Technical Note: Kinect V2 surface filtering during gantry motion for radiotherapy applications.

Souha Nazir1, Sandy Rihana2, Dimitris Visvikis1

  • 1INSERM UMR1101, LaTIM, CHU Morvan, Université de Bretagne Occidentale, Brest, France.

Medical Physics
|February 9, 2018
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Summary

Filtering techniques significantly improved Kinect V2 camera accuracy for radiotherapy applications. Noise reduction enhances patient positioning, respiratory motion tracking, and collision detection accuracy.

Keywords:
Kinect V2filteringpatient respiratory signalpatient surfaceradiotherapy

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Area of Science:

  • Medical Physics
  • Biomedical Engineering
  • Radiotherapy Technology

Background:

  • The Kinect V2 camera shows promise for radiotherapy applications like patient positioning and motion tracking.
  • Surface reflections can cause depth measurement errors, impacting accuracy during gantry motion and respiratory signal extraction.

Purpose of the Study:

  • To develop and validate filtering techniques for reducing noise in Kinect V2 depth measurements for radiotherapy.
  • To improve the accuracy of 1D respiratory signals and 2D surface data derived from the Kinect V2 camera.

Main Methods:

  • Implemented a trend removal filter for the 1D respiratory signal.
  • Applied a temporal median filter to the 2D surface data.
  • Validated filtering techniques using a phantom simulating radiotherapy conditions with ground truth.

Main Results:

  • Filtered respiratory signals showed a significantly higher correlation (0.76) compared to unfiltered signals (0.13).
  • Surface filtering reduced the mean square distance error by 85% between reference and measured point clouds.

Conclusions:

  • The proposed filtering methods effectively compensate for noise and improve surface accuracy.
  • Kinect V2 camera, with filtering, shows potential for reliable respiratory tracking and collision detection in radiotherapy.