The Medical Imaging Interaction Toolkit (MITK) is a free open-source software for the development of interactive medical image processing software. Based on MITK, the MITK Workbench, a powerful and free standalone application to view, process, and segment medical images. The MONAI Label tool in the segmentation view supports 2D & 3D images with radiology and monaibundle apps for inferencing only.
- Supported Applications
- Installing MITK Workbench
- Segmentation using MONAI Label
- Added Value from MITK
Users can find supported applications in the sample-apps folder under the radiology section. They'll find models like DeepEdit, DeepGrow, Segmentation, and more. These applications can be used to create and refine labels for various medical imaging tasks.
To use MONAI Label with MITK, you'll need to download and install the MITK Workbench. MONAI Label tool in MITK is tested against version 0.8 or higher. For more information on installing MITK Workbench, check out the MITK Documentation The MONAI Label tool needs no separate installation. It is included in the MITK's installer.
MONAI Label tool interface can be found in both MITK's Segmentation View > 2D tools and also in Segmentation View > 3D tools. As the the name indicates, the hosted MONAI Label app's 2D models are featured in 2D tools and vice versa. For details usage refer to MITK Documentation
- 4D image support: MONAI Label app models can be applied to dynamic (2D+t & 3D+t) images recursively to all time frames in one step.
- Automatic 3D interpolation: On 3D images, sparse 2D label segmentations generated using MONAI 2D models can be interpolated on the fly to create 3D segmentations of specific structures with fewer interactions needed.
