Introduction
Skull stripping, which is one form of brain segmentation, refers to the process of isolating the brain from other structures in a medical image of the brain. This usually involves the removal of the skull and any other non-brain tissue from the image, such as the dura and scalp. It is often done as a pre-processing step as it is improves the speed and accuracy of many brain image analysis/processing algorithms, such as coregistration and tissue segmentation, while also decreasing algorithm complexity (Roy 2015). Skull stripped images have become a standard preliminary step for many brain image processing tools.
This website will be updated on the status of our progress on the project.
Updates
- 4/14/17: First meeting with Dr. Fabian Scalzo
- 4/28/17: Background research and literature review
- 5/2/17: Acquiring the FLAIR data
- 5/13/17: Creating the ground truth bitmasks with OsiriX
- 5/21/17: Training the machine learning model
- 5/29/17: Using the model to make predictions
- 5/31/17: Quantifying the quality of our results
- 6/1/17: Postprocessing to improve our results
- 6/4/17: Using the program
Results
Our final report can be found here: