Semi automatic segmentation software (SASS) | |
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Neil Birkbeck,CS Dana Cobzas,CS Martin Jagersand,CS Albert Murtha, Oncology Tibor Kesztyues, University of Applied Sciences Ulm, Germany |
ReferencesBirkbeck, N.,Cobzas, D.,Jagersand, M.,Murtha A.,Kesztyues T. An Interactive Graph Cut Method for Brain Tumor Segmentation, IEEE Workshop on Applications of Computer Vision WACV 2009 |
Demos | |
Overview of the SASS - a complete brain tumor segmentation |
Illustration of how different settings of smoothness and hardness are influencing the segmentation |
DescriptionSee also project description on Neil's webpage Tumor segmentation from MRI data is an important but time consuming task performed manually by medical experts. Automating this process is challenging due to the high diversity in appearance of tumor tissue, among different patients and, in many cases, similarity between tumor and normal tissue. We propose a semi-automatic brain tumor segmentation system that incorporates 2D interactive and 3D automatic tools and the ability to adjust the manual vs. automatic control. The provided tools are based on an energy that incorporates region statistics computed on available MRI modalities, user defined labels and the usual regularization term. The energy is efficient minimized on-line using graph-cut.
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