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Real-time Head Motion Tracking for Brain Positron Emission Tomography using Microsoft Kinect V2
KTH, School of Technology and Health (STH).
2016 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

The scope of the current research work was to evaluate the potential of the latest version of Microsoft Kinect sensor (Kinect v2) as an external tracking device for head motion during brain imaging with brain Positron Emission Tomography (PET). Head movements constitute a serious degradation factor in the acquired PET images. Although there are algorithms implementing motion correction using known motion data, the lack of effective and reliable motion tracking hardware has prevented their widespread adoption. Thus, the development of effective external tracking instrumentation is a necessity. Kinect was tested both for Siemens High-Resolution Research Tomograph (HRRT) and for Siemens ECAT HR PET system. The face Application Programming Interface (API) ’HD face’ released by Microsoft in June 2015 was modified and used in Matlab environment. Multiple experimental sessions took place examining the head tracking accuracy of kinect both in translational and rotational movements of the head. The results were analyzed statistically using one-sample Ttests with the significance level set to 5%. It was found that kinect v2 can track the head with a mean spatial accuracy of µ0 < 1 mm (SD = 0,8 mm) in the y-direction of the tomograph’s camera, µ0 < 3 mm (SD = 1,5 mm) in the z-direction of the tomograph’s camera and µ0 < 1 ◦ (SD < 1 ◦ ) for all the angles. However, further validation needs to take place. Modifications are needed in order for kinect to be used when acquiring PET data with the HRRT system. The small size of HRRT’s gantry (over 30 cm in diameter) makes kinect’s tracking unstable when the whole head is inside the gantry. On the other hand, Kinect could be used to track the motion of the head inside the gantry of the HR system.

Place, publisher, year, edition, pages
2016. , 88 p.
Keyword [en]
Microsoft Kinect sensor v2, Brain Positron Emission Tomography, head movements, Siemens High-Resolution Research Tomograph, Siemens ECAT HR PET system, Microsoft HD face, Matlab, head tracking accuracy, one-sample T-tests
National Category
Medical Engineering
URN: urn:nbn:se:kth:diva-189973OAI: diva2:949921
Subject / course
Medical Engineering
Educational program
Master of Science in Engineering - Medical Engineering
2016-06-09, 3-221, Alfred Nobels Alle 10, HUDDINGE, 15:00 (English)
Available from: 2016-08-01 Created: 2016-07-25 Last updated: 2016-08-01Bibliographically approved

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