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SU-E-I-92: Accuracy Evaluation of Depth Data in Microsoft Kinect.

K Kozono^1,2,3, M Aoki^1,2,3, M Ono^1,2,3

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

Medical Physics

|May 19, 2017

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The Microsoft Kinect sensor offers accurate patient positioning in radiology and radiotherapy, achieving approximately 1 mm accuracy after calibration. This depth-sensing technology is suitable for clinical applications.

Area of Science:

Medical Imaging
Radiology
Radiotherapy

Background:

Real-time patient positioning is crucial in diagnostic radiology and radiotherapy.
The Microsoft Kinect sensor presents a potential low-cost solution for this application.

Purpose of the Study:

To evaluate the accuracy of Microsoft Kinect depth image data.
To assess device-to-device variation of the Kinect sensor in simulated clinical settings.

Main Methods:

Developed a computer program using OpenNI and OpenCV to measure quantitative distance data from the Kinect sensor.
Calibrated distance data using the least squares method and evaluated variations across five Kinect sensors.
Measured distances to a standardized object at various ranges (0-400 cm) from the sensor.

Keywords:

Calibration Cameras Computer simulation Computer software Image sensors Medical imaging Position sensitive detectors Radiation therapy

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Main Results:

Kinect sensor demonstrated an inability to measure distances below 50 cm.
Calibrated Kinect sensors achieved a device-to-device variation error within 0.46% from 50 cm to 2 m.
Maximum deviation after calibration was 1.1 mm (average 0.18 mm) between 50-150 cm.

Conclusions:

The Microsoft Kinect sensor provides a distance accuracy of approximately 1 mm when properly calibrated.
The sensor's accuracy and low variation make it suitable for patient positioning in radiology and radiotherapy.