Task-driven acquisition in anisotropic x-ray dark-field tomography

Theodor Cheslerean Boghiu; Franz Pfeiffer; Tobias Lasser

doi:10.1117/12.2534831

28 May 2019 Task-driven acquisition in anisotropic x-ray dark-field tomography

Theodor Cheslerean Boghiu, Franz Pfeiffer, Tobias Lasser

Proceedings Volume 11072, 15th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine; 1107218 (2019) https://doi.org/10.1117/12.2534831
Event: Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, 2019, Philadelphia, United States

Abstract

Anisotropic X-ray Dark-field Tomography (AXDT) is a novel imaging modality aimed at the reconstruction of spherical scattering functions in every three-dimensional volume element, based on the directional X-ray dark-field contrast as measured by an X-ray grating interferometer. In this work, we re-derive a detectability index for the AXDT forward model directly using the spherical function formulation, and use it to compute optimized acquisition trajectories using a greedy algorithm. The results demonstrate that the optimized trajectories can represent task-specific features in AXDT accurately using only a fraction of the data.

Citation Download Citation

Theodor Cheslerean Boghiu, Franz Pfeiffer, and Tobias Lasser "Task-driven acquisition in anisotropic x-ray dark-field tomography", Proc. SPIE 11072, 15th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, 1107218 (28 May 2019); https://doi.org/10.1117/12.2534831

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