{ "cells": [ { "attachments": {}, "cell_type": "markdown", "id": "c8a6d1af-4a11-4ebe-a042-1cb7d1ee0136", "metadata": {}, "source": [ "# X-ray CT using CUQIpy and CUQIpy-CIL plugin" ] }, { "attachments": {}, "cell_type": "markdown", "id": "99cf022a-d1d1-4adf-bbe5-798f0853833f", "metadata": {}, "source": [ "[The Core Imaging Library (CIL)](https://www.ccpi.ac.uk/cil) is an open-source python library for processing and reconstruction of CT data (and other inverse problems).\n", "\n", "\n", "The CUQIpy-CIL plugin wraps CIL tools into CUQIpy, so that CUQIpy can be used to carry out UQ analysis on CT problems.\n", "\n", "This notebook first demonstrates how to use the test problems provided by the CUQIpy-CIL plugin and set up and run a CUQIpy UQ analysis.\n", "\n", "Next a real X-ray CT data set is loaded in, analyzed and reconstructed using CIL. \n", "\n", "Finally the real data case is set up using the CUQIpy-CIL plugin for UQ analysis.\n", "\n", "### Prerequisites\n", "Make sure you have the latest version of CIL and CUQIpy-CIL installed. See install instructions [here](https://github.com/CUQI-DTU/CUQIpy-CIL)\n", "\n", "The notebook assumes a general familiarity with CT." ] }, { "cell_type": "markdown", "id": "67c0d8c7", "metadata": {}, "source": [ "
cuqi.experimental.mcmc
module, which are expected to become the default soon. Check out the documentation for more details.\n",
"\n",
"