Publication

Slice-by-Slice versus Fully 3D Reconstruction for Parallel-Beam x-Ray Microtomography

Michaël Unser, Masih Nilchian, Michael Thompson McCann
2016
Conference Papers

Résumé

We present a 3D iterative reconstruction method for microtomography, where iterative methods have previously been limited by their high computational cost. Our preliminary results show that it improves reconstruction quality over the traditional slice-by-slice method.

Source officielle

https://infoscience.epfl.ch/entities/publication/04bf37a3-64cb-4527-b3e3-b7bb616e1c43

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Michaël Unser, Masih Nilchian, Michael Thompson McCann
2016
Conference Papers

Résumé

Source officielle

https://infoscience.epfl.ch/entities/publication/04bf37a3-64cb-4527-b3e3-b7bb616e1c43

À propos de ce résultat

Concepts associés (6)

Iterative reconstruction

Iterative reconstruction refers to iterative algorithms used to reconstruct 2D and 3D images in certain imaging techniques. For example, in computed tomography an image must be reconstructed from projections of an object. Here, iterative reconstruction techniques are usually a better, but computationally more expensive alternative to the common filtered back projection (FBP) method, which directly calculates the image in a single reconstruction step.

Tomographic reconstruction

Tomographic reconstruction is a type of multidimensional inverse problem where the challenge is to yield an estimate of a specific system from a finite number of projections. The mathematical basis for tomographic imaging was laid down by Johann Radon. A notable example of applications is the reconstruction of computed tomography (CT) where cross-sectional images of patients are obtained in non-invasive manner.

Méthode itérative

En analyse numérique, une méthode itérative est un procédé algorithmique utilisé pour résoudre un problème, par exemple la recherche d’une solution d’un système d'équations ou d’un problème d’optimisation. En débutant par le choix d’un point initial considéré comme une première ébauche de solution, la méthode procède par itérations au cours desquelles elle détermine une succession de solutions approximatives raffinées qui se rapprochent graduellement de la solution cherchée. Les points générés sont appelés des itérés.

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