Unsupervised Nosologic Imaging for Glioma Diagnosis

Yuqian Li, D. M. Sima, S. Van Cauter, U. Himmelreich, A. R. C. Sava, Yiming Pi, Yipeng Liu, S. Van Huffel
2013 IEEE Transactions on Biomedical Engineering  
 Abstract-A novel approach to create nosologic images of the brain using magnetic resonance spectroscopic imaging (MRSI) data in an unsupervised way is presented. Different tissue patterns are identified from the MRSI data using non-negative matrix factorization (NMF) and are then coded as different primary colors (i.e. red, green and blue) in an RGB image, so that mixed tissue regions are automatically visualized as mixtures of primary colors. The approach is useful in assisting glioma
more » ... is, where several tissue patterns such as normal, tumor and necrotic tissue can be present in the same voxel/spectrum. Error-maps based on linear least squares estimation are computed for each nosologic image to provide additional reliability information, which may help clinicians in decision making. Tests on in-vivo MRSI data show the potential of this new approach.
doi:10.1109/tbme.2012.2228651 pmid:23192480 fatcat:w7cm7buk7jcyll5nyy4qvdnhri