Python Bindings Guide

• Install Python Bindings
  • Verify installation
  • Install with debug information
• Forward projection
  • GPU projection
  • 3D projection
  • Projection methods
• Backward projection
  • Towards a successful reconstruction
• Filtered backprojection
  • Background
  • Implementation
  • Flaws of the Filtered Backprojection

elsa also comes with Python bindings for almost all aspects of the framework. This short guide aims to give an introduction into some simple use cases and explains how one can easily translate C++ code into Python code for faster prototyping and experimenting. One major benefit that comes with the Python bindings is that we are able to natively use numpy arrays with our elsa data containers, making it easy to work with other tools such as matplotlib.

This small tutorial will cover mostly topics related to X-ray tomography. Though some of the later topics do not depend on the underlying applications, the first couple of steps are applications specific, and hence will deal with X-ray attenuation computed tomography (CT).

Throughout the guide the following imports are assumed to be present:

import pyelsa as elsa
import numpy as np
import matplotlib.pyplot as plt