In this post I will demonstrate how to use VTK to read in a series of DICOM files from a CT examination and extract a mesh surface of the bone structures. I will then show you how to visualize the mesh with VTK and save it, the mesh that is, into an STL file.
In this previous post I talked about interactive plotting packages that support the IPython Notebook and focused on Bokeh. Today I’ll be talking about Plotly, a much richer package that allows for a lot more functionality. I will also provide some very rudimentary examples that should allow you to get started straight away.
In this post I will talk about interactive plotting packages that support the IPython Notebook and allow you to zoom, pan, resize, or even hover and get values off your plots directly from an IPython Notebook. This post will focus on Bokeh while the next post will be about Plotly. I will also provide some very rudimentary examples that should allow to get started straight away.
PyScience 