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- W1570526078 abstract "Works presented in this chapter stem from three-dimensional (3D) reconstruction problems, in X-ray computed tomography (XRCT), within a clinical framework. The practical objective is to use XRCT to detect and quantify possible restenosis occurring in some patients after the insertion of a stent. The concern was to develop a method capable of rebuilding small structures in the presence of metal objects, in a 3D context, with a precision higher than that of tomographs available in hospitals. The method the authors have developed provides room for improvements aiming to accelerate computations particularly with regard to the representation and the coding of the projection/backprojection operator, and to the implementation of the optimization procedure. With regard to 3D reconstruction in XRCT, the method presented here clearly indicates that the ill-posed character of the problem, and the regularization techniques necessary for its solution, are now recognized and taken into account by the research community." @default.
- W1570526078 created "2016-06-24" @default.
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- W1570526078 date "2015-02-06" @default.
- W1570526078 modified "2023-10-17" @default.
- W1570526078 title "3D Reconstruction in X-Ray Tomography: Approach Example for Clinical Data Processing" @default.
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- W1570526078 doi "https://doi.org/10.1002/9781118827253.ch1" @default.
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