Methods of Information in Medicine, Table of Contents Methods Inf Med 2012; 51(06): 479-488DOI: 10.1055/s-0038-1627051 Original Articles Schattauer GmbH Discussion of “Spatial-Symbolic Query Engine in Anatomy” Authors Author Affiliations W.-T. Balke 1 Institute for Information Systems, Technische Universität Braunschweig, Braunschweig, Germany H. Handels 2 Institute of Medical Informatics, Universität zu Lübeck, Lübeck, Germany I. Kalet 3 Radiation Oncology Department, University of Washington, Seattle, WA, USA M. Kimura 4 Medical Informatics Department, Hamamatsu University, School of Medicine, Hamamatsu, Japan C. A. Kulikowski 5 Department of Computer Science, Rutgers University, Piscataway, NJ, USA L. A. Moura 6 Assis Moura eHealth, Porto Allegre, RS, Brazil A. Pommert 7 Department of Anatomy and Experimental Morphology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany S. Schulz 8 Institute of Medical Informatics, Statistics and Documentation, Medical University of Graz, Graz, Austria Recommend Article Abstract Buy Article(opens in new window)Keywords KeywordsSpatial relations - anatomy - query processing - ontologies - semantic web Full Text References References 1 Puget A, Mejino LV, Detwiler LT, Franklin JD, Brinkley JF. Spatial-symbolic Query Engine in Anatomy. Methods Inf Med 2012; 51 (06) 463-478. 2 Handels H, Horsch A, Meinzer HP. Advances in Medical Image Computing. Methods Inf Med 2007; 46 (03) 251-253. 3 Handels H, Ehrhardt J. Medical Image Computing for Computer Supported Diagnostics and Thera -py–Advances and Perspectives. Methods Inf Med 2009; 48 (01) 11-17. 4 Preim B, Bartz D. Visualization in Medicine. Morgan Kaufmann. 2007 5 Forkert N, Schmidt-Richberg A, Fiehler J, Illies T, Möller D, Handels H, Säring D. Fuzzy-based Vascular Structure Enhancement in Time-of-Flight MRA Images for Improved Cerebrovascular Segmentation. 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