Semi-automated brain tumor segmentation on multi-parametric MRI using regularized non-negative matrix factorization

摘要

BackgroundSegmentation of gliomas in multi-parametric (MP-)MR images is challenging due to their heterogeneous nature in terms of size, appearance and location. Manual tumor segmentation is a time-consuming task and clinical practice would benefit from (semi-) automated segmentation of the different tumor compartments.