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

Julien Pansiot 1 Edmond Boyer 1
1 MORPHEO - Capture and Analysis of Shapes in Motion
Inria Grenoble - Rhône-Alpes, Grenoble INP - Institut polytechnique de Grenoble - Grenoble Institute of Technology, LJK - Laboratoire Jean Kuntzmann
Abstract : In this paper, we consider the capture of dense volumetric X-ray attenuation models of non-rigidly moving samples. 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 attenu-ations. 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.
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https://hal.inria.fr/hal-01585344
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Submitted on : Monday, September 11, 2017 - 3:10:44 PM
Last modification on : Tuesday, October 19, 2021 - 11:27:10 AM

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  • HAL Id : hal-01585344, version 1

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Julien Pansiot, Edmond Boyer. CT from Motion: Volumetric Capture of Moving Shapes with X-rays and Videos. British Machine Vision Conference (BMVC), Sep 2017, London, United Kingdom. pp.1-6. ⟨hal-01585344⟩

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