> For the complete documentation index, see [llms.txt](https://qiicr.gitbook.io/dicom4miccai-handson/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://qiicr.gitbook.io/dicom4miccai-handson/using-dicom-to-store-your-analysis-results/dicom-mitk/dicom-mitk-0.md).

# Step 0: MITK interface basics

The MITK Workbench is a free and user-friendly application built upon the MITK toolkit. Use it to efficiently analyze and visualize medical image data from a wide range of imaging modalities like CT, MR, US, PET, and DICOM-RT. The interface is structured in three main areas:

* **Toolbar** On the upper border you find the Toolbar. With the left buttons you can choose between the main functions (e.g. open file, save/close project,...) On the right side you find the Plugins to work on your data.
* **Active plugins** At each sides of the window, the tools you're using can be opened. In MITK they're called Plugins.
* **Display** Your images and results appear in the Display area in 2D and 3D views.

In this tutorial we use only two plugins:

* `DICOM Browser` module to load the DICOM datasets
* `Segmentation` to perform segmentation

![](https://1608672434-files.gitbook.io/~/files/v0/b/gitbook-legacy-files/o/assets%2F-LM8e4_Fqz67WxPLjNdd%2F-LM8eKSItWZRrPH4GuSH%2F-LM8ePzYMO40hqHhWcUG%2Fmitk-workbench.png?generation=1536686678891857\&alt=media)