Chair for Computer Aided Medical Procedures & Augmented Reality
Lehrstuhl für Informatikanwendungen in der Medizin & Augmented Reality

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T. Lasser, M. Hornung, D. Frank
elsa - an elegant framework for tomographic reconstruction
International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine (Fully3D), Philadelphia, USA, June 2019 (bib)

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.
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