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Communication Dans Un Congrès Année : 2011

Extraction and evaluation of anatomical patient surface and associated respiratory motion with a time-of-flight (ToF) camera

Résumé

Objectives: A ToF camera is a new technology which provides a real-time depth map of a scene with a sufficiently high frequency to monitor respiratory motion. As such this technology makes a good alternative to systems currently used clinically since it provides a mark-less real-time monitoring of the complete patient's surface. The objective of this work was to evaluate the accuracy measuring displacements in real-time throughout the recorded patient surface. Methods: The surface provided by the camera was modeled using B-splines, including a correction methodology associated with accurately measuring recorded surface motion information irrespective of the angle between the camera and the patient. An anatomical torso phantom moved by a linear actuator was used in the evaluation. Measurements were made under static and moving conditions (triangular motion of 10 mm in amplitude and 4 seconds as period) on the B-splines control points with or without Gaussian filtering. Accuracy of the surface motion measurements was investigated with the camera placed at different distances (from 0.6m to 1.4m) and angles (α=0° to 45°) from the surface. The repeatability of accurately measuring surface displacement information was assessed on 100 repeated measurements for each experiment. Results: At 80cm between the camera and the phantom, considering all of the surface B-spline control points, motion estimation accuracy was 1.0±0.3mm and 1.3±0.5mm for an angle α = 0° and 45° respectively. Using a 3x3 Gaussian filtering, the motion estimation accuracy improved to 0.7±0.1mm and 1.1±0.3mm for α=0° and 45° respectively. The repeatability of motion estimation throughout the model's surface ranged from 0.7±0.1mm to 1.1±0.1mm for a distance between the camera and the phantom between 60cm and 1.4m. Conclusions: A millimetric accuracy for the monitoring of a patient surface can be obtained using a ToF camera. This technology can be therefore considered for monitoring respiratory motion displacements in real-time
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Dates et versions

hal-01865196 , version 1 (31-08-2018)

Identifiants

  • HAL Id : hal-01865196 , version 1

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Thomas Wentz, Hadi Fayad, Jean-François Clément, Joël Savéan, Mathieu Hatt, et al.. Extraction and evaluation of anatomical patient surface and associated respiratory motion with a time-of-flight (ToF) camera. NMC 2011 : Society of Nuclear Medecine conference, Jun 2011, San Antonio, United States. ⟨hal-01865196⟩
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