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elsa - an elegant framework for tomographic reconstruction
Author(s): Tobias Lasser; Maximilian Hornung; David Frank
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Paper Abstract

Software for tomographic reconstruction has been around for decades now. So why yet another software framework for tomographic reconstruction? Because we needed a flexible, operator- and optimization-based framework in C++ for our own target applications, we developed our own some years ago. As our framework has been applied to many tomographic problems by now, ranging from optical tomography, lightfield tomography, SPECT, to various X-ray based imaging modalities (absorption contrast, differential phase contrast and anisotropic dark-field contrast), we decided to open source a modernized version of it. The framework elsa is written in platform-independent modern C++17 using the CMake build system, with high unit-test coverage and continuous integration to ascertain reliability and correctness, as well as a Python interface for easy and rapid prototyping. Our intent in open sourcing the framework and presenting it here is three-fold, first for easier reproducibility of our own research, second for use in teaching, and last but not least, in the hopes that some of you also find some usefulness in it for your own tasks.

Paper Details

Date Published: 28 May 2019
PDF: 4 pages
Proc. SPIE 11072, 15th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine, 110723A (28 May 2019); doi: 10.1117/12.2534833
Show Author Affiliations
Tobias Lasser, Technical Univ. of Munich (Germany)
Maximilian Hornung, Technical Univ. of Munich (Germany)
David Frank, Technical Univ. of Munich (Germany)


Published in SPIE Proceedings Vol. 11072:
15th International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine
Samuel Matej; Scott D. Metzler, Editor(s)

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