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3D Imaging from Video and Planar Radiography

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 dense volumetric modeling of moving samples such as body parts. Most dense modeling methods consider samples observed with a moving X-ray device and cannot easily handle moving samples. We propose a novel method that uses a surface motion capture system associated to a single low-cost/low-dose planar X-ray imaging device for dense in-depth attenuation information. Our key contribution is to rely on Bayesian inference to solve for a dense attenuation volume given planar radioscopic images of a moving sample. The approach enables multiple sources of noise to be considered and takes advantage of limited prior information to solve an otherwise ill-posed problem. Results show that the proposed strategy is able to reconstruct dense volumetric attenuation models from a very limited number of radiographic views over time on simulated and in-vivo data.
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Julien Pansiot, Edmond Boyer. 3D Imaging from Video and Planar Radiography. MICCAI 2016 - 19th International Conference on Medical Image Computing and Computer Assisted Intervention, Oct 2016, Athens, Greece. pp.450-457, ⟨10.1007/978-3-319-46726-9_52⟩. ⟨hal-01348939v2⟩



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