Task-driven acquisition in anisotropic x-ray dark-field tomography
Boghiu TC, Pfeiffer F, Lasser T (2019)
Publication Type: Conference contribution
Publication year: 2019
Journal
Publisher: SPIE
Book Volume: 11072
Conference Proceedings Title: Proceedings of SPIE - The International Society for Optical Engineering
Event location: Philadelphia, PA, USA
ISBN: 9781510628373
DOI: 10.1117/12.2534831
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.
Involved external institutions
Germany (DE)How to cite
APA:
Boghiu, T.C., Pfeiffer, F., & Lasser, T. (2019). Task-driven acquisition in anisotropic x-ray dark-field tomography. In Samuel Matej, Scott D. Metzler (Eds.), Proceedings of SPIE - The International Society for Optical Engineering. Philadelphia, PA, USA: SPIE.
MLA:
Boghiu, Theodor Cheslerean, Franz Pfeiffer, and Tobias Lasser. "Task-driven acquisition in anisotropic x-ray dark-field tomography." Proceedings of the 15th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, Fully3D 2019, Philadelphia, PA, USA Ed. Samuel Matej, Scott D. Metzler, SPIE, 2019.
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