Publication
Blob-based Algebraic Reconstruction Technique for Computed Laminography
Tim Dahmen; Patrick Trampert; Philipp Slusallek
In: Microscopy and Microanalysis, Vol. 24, No. S1, Pages 994-995, Cambridge University Press, 8/2018.
Abstract
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.