3D Imaging from Video and Planar Radiography
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.
KeywordsOptical Flow Attenuation Model Warping Function Attenuation Volume Voxel Grid
This research was partly funded by the KINOVIS project (ANR-11-EQPX-0024).
- 1.Bang, T.Q., Jeon, I.: CT reconstruction from a limited number of X-ray projections. World Acad. Sci. Eng. Technol. 5(10), 488–490 (2011)Google Scholar
- 3.Dawood, M., Lang, N., Jiang, X., Schafers, K.: Lung motion correction on respiratory gated 3-D PET/CT images. TMI 25(4), 476–485 (2006)Google Scholar
- 8.Pansiot, J., Reveret, L., Boyer, E.: Combined visible and X-ray 3D imaging. In: MIUA, London, pp. 13–18, July 2014Google Scholar
- 9.Sidky, E.Y., Kao, C.M., Pan, X.: Accurate image reconstruction from few-views and limited-angle data in divergent-beam CT. J. X-Ray Sci. Technol. 14(2), 119–139 (2006)Google Scholar
- 10.Yang, G., Hipwell, J.H., Hawkes, D.J., Arridge, S.R.: A nonlinear least squares method for solving the joint reconstruction and registration problem in digital breast tomosynthesis. In: MIUA, pp. 87–92 (2012)Google Scholar