Clustering of Brain Tumors by Segmentation of Magnetic Resonance Data
Patrick W. T. Krooshof, Geert Postma, Willem J. Melssen, L.M.C. Buydens · Radboud Repository (Radboud University) · 2006
P. W. Krooshof, G. J. Postma, W. J. Melssen, L. M. Buydens Analytical Chemistry, Radboud University Nijmegen, Nijmegen, Gld, Netherlands Introduction Diagnosis of brain tumors is made by clinical symptoms, radiological appearance (MRI, CSI) and histopathological diagnosis [1]. Previous research [2] has shown that clustering of Magnetic Resonance data facilitates the diagnosis of brain tumors. However, the study did not include spatial information in the clustering of Magnetic Resonance Imaging (MRI) data. Additionally, the clustering results were not stable. The aim of this study is to investigate the added value of the inclusion of spatial information in the clustering of multivariate MRI images to facilitate the interpretation of MR data.