Blog

In this blog post, I will demonstrate how to use a GPU in order to accelerate the ray tracing code developed in previous blog posts. Specifically in this blog post I will be using Numba’s CUDA extension to write a CUDA kernel for the ray tracing code.

In my first blog post, I explained how to perform X-Ray imaging. One problem with a pure Python forward model is it’s slow. Therefore, I am going to introduce Numba in this blog post a way to accelerate Python code.

This post will review the concepts behind medical imaging and the forward model used in X-ray imaging. Additionally, this tutorial will explain the development of the forward model in Python.