2007Unpublished venueRequires access

Tiny a priori knowledge solves the interior problem

Hiroyuki Kudo, Matías Courdurier, Frédéric Noo, Michel Defrise

Open publisher page 14 citations

Abstract

Based on the Differentiated Backprojection (DBP) framework [1–3], this paper shows that the solution to the interior problem in computed tomography is unique if a tiny a priori knowledge on the object f(x, y) is available in the form that f(x, y) is known on a small region located inside the region of interest. Furthermore, we advance the uniqueness result to obtain a more general uniqueness result which can be applied to a wider class of imaging configurations. The experimental results show evidence that the inversion corresponding to each obtained uniqueness result is stable.

About this research paper

What this paper is about

Based on the Differentiated Backprojection (DBP) framework [1–3], this paper shows that the solution to the interior problem in computed tomography is unique if a tiny a priori knowledge on the object f(x, y) is available in the form that f(x, y) is known on a small region located inside the region of interest. Furthermore, we advance the uniqueness result to obtain a more general uniqueness result which can be applied to a wider class of imaging configurations. The experimental results show evidence that the inversion corresponding to each obtained uniqueness result is stable.

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OpenAlex reports 14 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

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Method / approach

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Available abstract

Based on the Differentiated Backprojection (DBP) framework [1–3], this paper shows that the solution to the interior problem in computed tomography is unique if a tiny a priori knowledge on the object f(x, y) is available in the form that f(x, y) is known on a small region located inside the region of interest. Furthermore, we advance the uniqueness result to obtain a more general uniqueness result which can be applied to a wider class of imaging configurations. The experimental results show evidence that the inversion corresponding to each obtained uniqueness result is stable.

Key concepts: Uniqueness, A priori and a posteriori, Inversion (geology), Inverse problem, Object (grammar), Computer science, Class (philosophy), Algorithm

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