AI Chat AI Image Generator AI Video Text to Speech

Sinogram constrained TV-minimization for metal artifact reduction in CT

04/26/2014

∙

by Clemens Schiffer, et al.

∙

∙

A new method for reducing metal artifacts in X-ray computed tomography (CT) images is presented. It bases on the solution of a convex optimization problem with inequality constraints on the sinogram, and total variation regularization for the reconstructed image. The Chambolle-Pock algorithm is used to numerically solve the discretized version of the optimization problem. As proof of concept we present and discuss numerical results for synthetic data.

Clemens Schiffer
2 publications
Kristian Bredies
9 publications

page 3

page 6

research

∙ 10/08/2018

TV-regularized CT Reconstruction and Metal Artifact Reduction Using Inequality Constraints with Preconditioning

Total variation(TV) regularization is applied to X-Ray computed tomograp...

0 Clemens Schiffer, et al. ∙

research

∙ 08/23/2016

Computerized Tomography with Total Variation and with Shearlets

To reduce the x-ray dose in computerized tomography (CT), many constrain...

0 Edgar Garduño, et al. ∙

research

∙ 06/12/2019

Torus computed tomography

We present a new computed tomography (CT) method for inverting the Radon...

0 Joonas Ilmavirta, et al. ∙

research

∙ 07/24/2018

A Convex Formulation for Binary Tomography

Binary tomography is concerned with the recovery of binary images from a...

0 Ajinkya Kadu, et al. ∙

research

∙ 02/10/2018

A generalized matrix Krylov subspace method for TV regularization

This paper presents an efficient algorithm to solve total variation (TV)...

0 A. Bentbib, et al. ∙

research

∙ 01/06/2023

Radiation design in computed tomography via convex optimization

Proper X-ray radiation design (via dynamic fluence field modulation, FFM...

0 Anatoli Juditsky, et al. ∙

research

∙ 07/24/2018

A convex formulation for Discrete Tomography

Discrete tomography is concerned with the recovery of binary images from...

0 Ajinkya Kadu, et al. ∙