title: A new segmentation algorithm for knowledge acquisition in tissue-characterizing magnetic resonance imaging.
abstract: Tissue-characterizing magnetic resonance imaging (MRI) is a new imaging method for differentiation and biochemical characterization of tissue based on multidimensional MR-parameter information. To support knowledge acquisition in tissue-characterizing MRI, a new segmentation algorithm has been developed by using clustering techniques. The visualization of the complex biochemical MR-parameter information is performed by extraction of regions with similar biochemical properties. The clustering algorithm leads to an easy and comfortable handling of the complex tissue-characteristic MR information and supports knowledge acquisition for knowledge-based tissue characterization.
authors.affiliation: Institut für Medizinische Statistik und Dokumentation, Rheinisch-Westfälische Technische Hochschule Aachen, West Germany.
authors.forename: H
authors.initials: H
authors.lastname: Handels
authors.forename: T
authors.initials: T
authors.lastname: Tolxdorff
mesh_terms: D001921:Brain / Q000033:anatomy & histology; D006801:Humans; D007091:Image Processing, Computer-Assisted; D008279:Magnetic Resonance Imaging