In this post I will demonstrate volume rendering of 3D image data in VTK. This will include loading and casting a segmented label-field, defining appropriate color and opacity transfer functions, setting volume properties, and performing volume rendering with different VTK classes, e.g., ray-casting or texture-mapping, which are implemented either on the CPU or GPU.
In this post I will show how to use SimpleITK to perform multi-modal segmentation on a T1 and T2 MRI dataset for better accuracy and performance. The tutorial will include input and output of MHD images, visualization tricks, as well as uni-modal and multi-modal segmentation of the datasets.
In this post I will demonstrate SimpleITK, an abstraction layer over the ITK library, to segment/label the white and gray matter from an MRI dataset. I will start with an intro on what SimpleITK is, what it can do, and how to install it. The tutorial will include loading a DICOM file-series, image smoothing/denoising, region-growing image filters, binary hole filling, as well as visualization tricks.
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.