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Section: New Results

CT from Motion: Volumetric Capture of Moving Shapes with X-rays and Videos

Figure 6. Volumetric Model of a Moving Arm
IMG/Julien17.png

We consider the capture of dense volumetric X-ray attenuation models of non-rigidly moving samples (see Figure 6). Traditional 3D medical imaging apparatus, e.g. CT or MRI, do not easily adapt to shapes that deform significantly such as a moving hand. We propose an approach that simultaneously recovers dense volumetric shape and motion information by combining video and X-ray modalities. Multiple colour images are captured to track shape surfaces while a single X-ray device is used to infer inner attenuations. The approach does not assume prior models which makes it versatile and easy to generalise over different shapes. Results on synthetic and real-life data are presented that demonstrate the approach feasibility with a limited number of X-ray views. The resulting dense 4D attenuation data provides unprecedented insights for motion analysis.

This work was presented at the British Machine Vision Conference [9].