Skip to Main content Skip to Navigation

Regularized 4D-CT reconstruction from a single dataset with a spatio-temporal prior

Fabien Momey 1, 2 Eric Thiébaut 1 Catherine Burnier-Mennessier 2 Loïc Denis 2 Jean-Marie Becker 3 Laurent Desbat 4
3 Laboratoire Hubert Curien / Eris
LHC - Laboratoire Hubert Curien [Saint Etienne]
4 TIMC-IMAG-GMCAO - Gestes Medico-chirurgicaux Assistés par Ordinateur
TIMC-IMAG - Techniques de l'Ingénierie Médicale et de la Complexité - Informatique, Mathématiques et Applications, Grenoble - UMR 5525
Abstract : X-ray Computerized Tomography (CT) reconstructions can be severely impaired by the patient’s respiratory motion and cardiac beating. Motion must thus be recovered in addition to the 3D reconstruction problem. The approach generally followed to reconstruct dynamic volumes consists of largely increasing the number of projections so that independent reconstructions be possible using only subsets of projections from the same phase of the cyclic movement. Apart from this major trend, motion compensation (MC) aims at recovering the object of interest and its motion by accurately modeling its deformation over time, allowing to use the whole dataset for 4D reconstruction in a coherent way.We consider a different approach for dynamic reconstruction based on inverse problems, without any additional measurements, nor explicit knowledge of the motion. The dynamic sequence is reconstructed out of a single data set, only assuming the motion’s continuity and periodicity. This inverse problem is solved by the minimization of the sum of a data-fidelity term, consistent with the dynamic nature of the data, and a regularization term which implements an efficient spatio-temporal version of the total variation (TV). We demonstrate the potential of this approach and its practical feasibility on 2D and 3D+t reconstructions of a mechanical phantom and patient data.
Complete list of metadatas

Cited literature [47 references]  Display  Hide  Download
Contributor : Fabien Momey <>
Submitted on : Monday, December 8, 2014 - 10:13:08 PM
Last modification on : Monday, January 13, 2020 - 5:46:07 PM
Document(s) archivé(s) le : Saturday, April 15, 2017 - 4:35:41 AM


Files produced by the author(s)


  • HAL Id : hal-00998291, version 2


Fabien Momey, Eric Thiébaut, Catherine Burnier-Mennessier, Loïc Denis, Jean-Marie Becker, et al.. Regularized 4D-CT reconstruction from a single dataset with a spatio-temporal prior. 2014. ⟨hal-00998291v2⟩



Record views


Files downloads