Open AccessTomosipo: fast, flexible, and convenient 3D tomography for complex scanning geometries in Python
Author(s) -
Allard A. Hendriksen,
Dirk Elias Schut,
Willem Jan Palenstijn,
Nicola Viganò,
Ji-Soo Kim,
Daniël M. Pelt,
Tristan van Leeuwen,
Kees Joost Batenburg
Publication year - 2021
Publication title -
optics express
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.439909
Subject(s) - python (programming language) , computer science , traverse , software , detector , computer graphics (images) , iterative reconstruction , tomography , computational science , optics , computer vision , artificial intelligence , algorithm , physics , programming language , telecommunications , geodesy , geography
Tomography is a powerful tool for reconstructing the interior of an object from a series of projection images. Typically, the source and detector traverse a standard path (e.g., circular, helical). Recently, various techniques have emerged that use more complex acquisition geometries. Current software packages require significant handwork, or lack the flexibility to handle such geometries. Therefore, software is needed that can concisely represent, visualize, and compute reconstructions of complex acquisition geometries. We present tomosipo, a Python package that provides these capabilities in a concise and intuitive way. Case studies demonstrate the power and flexibility of tomosipo.