Plastic Surgery Research Council
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PSRC 60th Annual Meeting

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Application Of Game-based 3d Scanning In Craniofacial Analysis
Christian El Amm, M.D., Lan Le, M.S. Eng., John Dwyer, PhD. Eng, Kamal Sawan, M.D..
University of Oklahoma, Oklahoma City, OK, USA.

PURPOSE:
Motion tracking interfaces commonly available in gaming (Kinect®) can be modified to generate rough 3D surface scans with sufficient resolution for shape analysis methods. We compared the precision of Kinect® generated surfaces to standard CT scanning and applied shape analysis methods on cranial shapes associated with common craniofacial conditions.
METHODS:
After IRB approval, 42 patients with craniofacial conditions that underwent CT scans of the craniofacial area were selected for external scanning using commercial kinect® setup. The dense point cloud generated was used to generate a smoothed surface model and compared to the CT scan generated Surface model and compared for accuracy. Two shape analysis algorithms were then applied to the Kinect® generated surfaces to find discriminant descriptors of different craniofacial conditions.
RESULTS:
12 patients with deformational plagiocephaly, 14 with scaphocephaly, 6 with metopic and 10 with unicoronal synostosis were recruited. Kinect® generated surfaces of the cranial vault were within 4mm of the CT scan generated skin surfaces, and most of the errors were related to distortion related to the gantry. The Kinect generated surfaces also related well to the underlying bony anatomy. Ellipsoid Analysis (Kane et al) and Fourrier descriptors applied to the Kinect®-generated surfaces of the cranial vault were found to discriminate reliably between the 4 conditions.
CONCLUSION:
Widely available motion tracking game controllers can generate reliable surface models of the cranial vault. Automated, landmark-independent discrimination between deformational plagiocephaly and synostosis conditions may be possible.


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