Cross platform, open source application for the processing, visualization, and analysis of 3D tomography data

TIGRE: Tomographic Iterative GPU-based Reconstruction Toolbox

Operator Discretization Library https://odlgroup.github.io/odl/

Tomographic Reconstruction in Python

Python based dashboard for real-time Electrical Impedance Tomography including image reconstruction using Back Projection, Graz Consensus and Gauss Newton methods

A set of tools for characterizing and analying 3D images of porous materials

Software to generate 2D/3D/4D analytical phantoms and their Radon transforms (parallel beam) for image processing

Python based toolkit for Electrical Impedance Tomography

Learned Primal-Dual Reconstruction

Solving ill-posed inverse problems using iterative deep neural networks

A python implementation of Gate Set Tomography

A tutorial for Synthetic Aperture Radar Tomography

MATLAB package of iterative regularization methods and large-scale test problems. This software is described in the paper "IR Tools: A MATLAB Package of Iterative Regularization Methods and Large-Scale Test Problems" that will be published in Numerical Algorithms, 2018.

MIRT: Michigan Image Reconstruction Toolbox (Julia version)

A library for quantum characterization, verification, validation (QCVV), and benchmarking using pyQuil.

Project for an open-source python library for synthetic diagnostics and tomography for Fusion devices

High Performance Seismologic Data and Metadata Processing System

The set of CPU/GPU optimised regularisation modules for iterative image reconstruction and other image processing tasks

This project hosts the code and datasets I used for Deep Learning course at Boston University. It aims to post-process the images the low quality images produced as a result of solving inverse problems in imaging (particularly Computed Tomography) and produce high-quality images.

LAVI open-source reconstruction toolbox for digital breast tomosynthesis (DBT)

Tomography data bank for everyone.

CSET (Compressed Sensing Electron Tomography)-toolbox is a three-dimensional TV-based compressed sensing reconstruction toolbox that consists of algebraic iterative algorithms (SART and SIRT) with total variation (TV) based CS. In addition, it integrates a Fast Iterative Shrinkage-Thresholding Algorithm (FISTA) that is an acceleration method to speed up the algorithm convergence.

A Wiki for tomography-related algorithms and software packages.

Open Source EIT system using Keithley 6221 current source and EEG systems

A Matlab borehole radar/seismic tomography package

Python package for tomographic data processing and reconstruction

Data partitioning toolbox for tomographic reconstruction

Tools for designing x-ray phantoms and experiments.

C++ library and command-line software for processing and analysis of terabyte-scale volume images locally or on a computing cluster.

FTeikPy is a Python module that computes accurate first arrival traveltimes in 2-D and 3-D heterogeneous isotropic velocity model.