SlicerCineTrack is a 3D Slicer extension designed for the visual verification of target tracking results. The ROI segmentation is resampled according to user-provided transformation data and overlaid on a set of time-series medical images.
DISCLAIMER: This software is not intended for clinical use.
Please take a look at documentation page on SlicerCineTrack's Homepage.
Track
- Main SlicerCineTrack module directory
Track/Resources
- Holds various resource files that may be used by SlicerCineTrack like Icon and UI elements
The video below demonstrates sample usage and behaviour of SlicerCineTrack. This demo can also be performed locally, using the provided steps and dataset below.
SlicerCineTrack.Tutorial.mp4
-
Install the "SlicerCineTrack" extension from the 3D Slicer extension manager
-
Reopen 3D Slicer and click on the module selection dropdown menu and find the SlicerCineTrack module under:
SlicerCineTrack
->Track
-
Download a sample dataset You can use either of the 2 datasets below:
-
Unzip the data into folder
Track/Data
-
Use the input selectors to import the sample data from the
Track/Data
folder:- Cine Images :
Track/Data/2D Cine Images
- Segmentation File :
Track/Data/Segmentation.mha
- Transforms File :
Track/Data/Transforms.csv
- Cine Images :
-
Press the
Play
button to begin playback
-
Navigate to the desired location and clone this repository using:
git clone https://github.com/laboratory-for-translational-medicine/SlicerCineTrack.git
Ensure that the branch is set to the
dev
branch, as it contains the latest changes. -
To access the module within your 3D Slicer installation you must first make the module available to 3D Slicer. Open 3D Slicer and click:
Edit
->Application Settings
->Modules
Now add the path to the
Track
folder within theAdditional module paths
selection box
- Hint: Click on the
>>
button to show theAdd
button - Ensure to add the path to
SlicerCineTrack/Track
- After the path is added, the program will restart
See the dev wiki for SlicerCineTrack development information.