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Communication Dans Un Congrès Année : 2012

ECG-gated C-arm computed tomography using L1 regularization

Résumé

Cardiac C-Arm computed tomography leads to a view-starved reconstruction problem because of electrocardiogram gating. The lack of data has to be compensated by a-priori information on the solution. While standard regularization is performed by minimizing a quadratic penalty term, recently proposed limited-view reconstruction techniques perform it by minimizing the L1-norm of the signal in a basis where it is supposed to be sparse. Although some algorithms are formulated with this generic L1-norm term, their practical implementations replace it by total variation, which leads to piecewise constant images. In this article, we investigate the benefits of using a different sparsifying basis, which can be chosen depending on the expected properties of the solution. It results in more flexibility in the reconstruction. We provide an in-depth description of the algorithm used for the minimization.

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Dates et versions

hal-00842745 , version 1 (10-07-2013)

Identifiants

  • HAL Id : hal-00842745 , version 1

Citer

Cyril Mory, Bo Zhang, Vincent Auvray, Michael Grass, Dirk Schäfer, et al.. ECG-gated C-arm computed tomography using L1 regularization. 20th European Signal Processing Conference (Eusipco), Aug 2012, Bucarest, Romania. pp.2728-2732. ⟨hal-00842745⟩
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