Computed Tomography Python Packages

medpy

Medical image processing in Python

svmbir

Fast code for parallel or fan beam tomographic reconstruction

ctis

A Python library for analyzing and simulating observations from computed tomography imaging spectrographs (CTIS).

mbirtorch

MBIR reconstruction implemented in PyTorch

itk-boneenhancement

Various filters for enhancing cortical bones in quantitative computed tomography.

mbirjax

MBIRJAX is a Python package for Model Based Iterative Reconstruction (MBIR) of images from tomographic data.

torchtomo

Differentiable 2D CT in PyTorch with parallel/fan-beam projectors, exact adjoints, filtered backprojection, learnable scan geometry, and optional CUDA acceleration.

itk-ringartifact

ITK filters to reduce ring artifacts common in x-ray computed tomography.

ct-segmentation-toolkit

Supervised (U-Net), unsupervised (Otsu, k-means, GMM), and label-free spectral-spatial (SOM) segmentation of scientific image stacks, with self-supervised Noise2Inverse denoising.

ciclope

Computed Tomography to Finite Elements

pyctl

Python bindings for Computed Tomography Library (CTL)

micro-ct-image-quality-toolbox

Image quality metrics for micro-CT reconstructions: MTF, NPS, NEQ, TTF and detectability index (d'), with automatic ROI finding and a one-command report

ldct-benchmark

A benchmark for deep learning-based low dose CT image denoising

explore-ct-120-reconstruction-algorithms

Various reconstruction algorithms for the eXplore CT 120 scanner (Trifoil Imaging, USA) as a substitute/improvement to the GEHC specific FDK reconstruction software.

omegatomo

Open-source multi-dimensional tomographic reconstruction software (OMEGA)

gratopy

Gratopy - Graz accelerated tomographic projections for Python

ct-segnet

CTSegNet is an end-to-end 3D segmentation package for large X-ray tomographic datasets using 2D fully convolutional neural networks (fCNN).