Tiny a priori knowledge solves the interior problem
Hiroyuki Kudo, Matías Courdurier, Frédéric Noo, Michel Defrise
Abstract
Hiroyuki Kudo, Matías Courdurier, Frédéric Noo, Michel Defrise
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.
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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