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SU-E-I-91: Development of a Compact Radiographic Simulator Using Microsoft Kinect.

M Ono1,2,3,4, K Kozono1,2,3,4, M Aoki1,2,3,4

  • 1Department of Health Sciences, Graduate School of Medical Sciences, Kyushu University, Fukuoka.

Medical Physics
|May 19, 2017
PubMed
Summary
This summary is machine-generated.

This study introduces a novel radiographic simulator using Microsoft Kinect for improved learning and positioning. The system generates simulated X-ray images, offering a cost-effective alternative to conventional methods.

Keywords:
CalibrationComputational imagingComputed tomographyComputer simulationComputer softwareImage sensorsMedical imagingPosition sensitive detectorsRadiographyRotation measurement

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Area of Science:

  • Medical Imaging
  • Computer Vision
  • Radiography

Background:

  • Conventional radiographic simulators are costly and limited in application.
  • There is a need for adaptable and affordable radiographic simulation systems.
  • Existing simulators struggle with dynamic object positioning.

Purpose of the Study:

  • To develop a new radiographic simulator system using an infrared-ray based 3D shape measurement device (Microsoft Kinect).
  • To overcome the limitations of conventional simulators regarding cost, size, and applicability to changing object positions.
  • To create a system for learning radiographic techniques and confirming positioning before X-ray irradiation.

Main Methods:

  • Developed a computer program using OpenCV and OpenNI to process Kinect depth image data.
  • Calibrated the system to calculate exact distances and determine the positional relationship between the X-ray tube and the object.
  • Calculated X-ray projection images using 3D CT data of a head phantom and evaluated accuracy with object rotation.

Main Results:

  • Successfully generated simulated X-ray images comparable to those from an actual X-ray tube.
  • Achieved precise 3D object position measurement up to 50 degrees of rotation; errors increased beyond this.
  • Optimized computational time by adjusting projection image size, achieving 7-second processing for 128x128 images.

Conclusions:

  • The developed system accurately measures 3D object positions using a calibrated Kinect sensor.
  • Simulated projection X-ray images can be generated at high speeds using 3D CT data.
  • This system shows potential for pre-exposure simulated X-ray imaging by integration with X-ray tubes.