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Conference papers

Combined Visible and X-Ray 3D Imaging

Julien Pansiot 1 Lionel Reveret 1 Edmond Boyer 1
1 MORPHEO [2011-2015] - Capture and Analysis of Shapes in Motion [2011-2015]
Inria Grenoble - Rhône-Alpes, LJK [2007-2015] - Laboratoire Jean Kuntzmann [2007-2015], Grenoble INP [2007-2019] - Institut polytechnique de Grenoble - Grenoble Institute of Technology [2007-2019]
Abstract : This paper considers 3D imaging of moving objects and introduces a technique that exploits visible and x-ray images to recover dense 3D models. While recent methods such as tomography from cone-beam x-ray can advantageously replace more expensive and higher-dose CT scanners, they still require specific equipment and immobilised patients. We investigate an alternative strategy that combines a single x-ray source and a set of colour cameras to capture rigidly moving samples. The colour cameras allow for coarse marklerless motion tracking, which is further refined with the x-ray information. Once the sample poses are correctly estimated, a dense 3D attenuation model is reconstructed from the set of x-ray frames. Preliminary results on simulated data compared to ground-truth as well as actual in-vivo experiments are presented.
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Contributor : Julien Pansiot <>
Submitted on : Monday, December 8, 2014 - 9:19:52 AM
Last modification on : Monday, July 20, 2020 - 9:18:59 AM
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  • HAL Id : hal-00994974, version 1



Julien Pansiot, Lionel Reveret, Edmond Boyer. Combined Visible and X-Ray 3D Imaging. Medical Image Understanding and Analysis, Jul 2014, London, United Kingdom. pp.13-18. ⟨hal-00994974⟩



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