TIGRE: a MATLAB-GPU toolbox for CBCT image reconstruction

By Ander Biguri, M. Dosanjh, Steven Hancock, Manuchehr Soleimani. 2016

368 citations recorded by the source corpus.

In this article the Tomographic Iterative GPU-based Reconstruction (TIGRE) Toolbox, a MATLAB/CUDA toolbox for fast and accurate 3D x-ray image reconstruction, is presented. One of the key features is the implementation of a wide variety of iterative algorithms as well as FDK, including a range of algorithms in the SART family, the Krylov subspace family and a range of methods using total variation regularization. Additionally, the toolbox has GPU-accelerated projection and back projection using the latest techniques and it has a modular design that facilitates the implementation of new algorithms. We present an overview of the structure and techniques used in the creation of the toolbox, together with two usage examples. The TIGRE Toolbox is released under an open source licence, encouraging people to contribute.

Subfields: Biomedical Engineering, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/1fdde42cb0b273e334237ec7288c505d5a3920e2

Citations in the corpus

• X-Ray Microcomputed Tomography in Additive Manufacturing: A Review of the Current Technology and Applications (2018, neutral): “…iterative reconstruction, which holds promise for improved data quality in future and is an ongoing development, see for example, Biguri et al. 18 Visualization and analysis are typically quite computationally challenging, hence the need for dedicated software packages and associated high-end…”