Blob-based Algebraic Reconstruction Technique for Computed Laminography

Tim Dahmen, Patrick Trampert, Philipp Slusallek

In: Microscopy and Microanalysis 24 S1 Seiten 994-995 Cambridge University Press 8/2018.


Computed Laminography (CL) is an X-Ray based technique for acquiring flat samples, meaning one dimension of a sample is much smaller than the others. Tailored to this technique the CLARA geometry setup [1] is used to gather projections of a specimen. These projections are processed by an iterative algorithm based on the Kaczmarz method to obtain a three dimensional dataset of the specimen. This class of algorithms suffers from artifacts, especially for datasets with a poor signal-to-noise ratio (SNR) and when only a limited number of projections is available. We proposed a new method based on the simultaneous algebraic reconstruction technique (SART), where voxel basis functions are replaced with blob basis functions that have band-limiting properties to suppress artifacts.

Deutsches Forschungszentrum für Künstliche Intelligenz
German Research Center for Artificial Intelligence