Download PDF by Hans-Peter Meinzer, Thomas Martin Deserno, Heinz Handels,: Bildverarbeitung für die Medizin 2009: Algorithmen - Systeme

By Hans-Peter Meinzer, Thomas Martin Deserno, Heinz Handels, Thomas Tolxdorff

ISBN-10: 3540938591

ISBN-13: 9783540938590

ISBN-10: 3540938605

ISBN-13: 9783540938606

In den letzten Jahren hat sich der Workshop „Bildverarbeitung für die Medizin“ durch erfolgreiche Veranstaltungen etabliert. Ziel ist auch 2009 wieder die Darstellung aktueller Forschungsergebnisse und die Vertiefung der Gespräche zwischen Wissenschaftlern, Industrie und Anwendern. Die Beiträge dieses Bandes - einige in englischer Sprache - behandeln alle Bereiche der medizinischen Bildverarbeitung, insbesondere Bildgebung, CAD, Segmentierung, Bildanalyse, Visualisierung und Animation, Roboter und Manipulatoren, Chirurgische Simulatoren, Diagnose, Therapieplanung sowie deren klinische Anwendungen.

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The difference vector between the reference voxel’s position Pref and the positions Pn of each of its neighbors defines 26 direction vectors. Starting from Pref , for each direction the number of steps that can be done satisfying a threshold condition is counted. 5) is a tolerance value. Fig. 1. The SSE histogram uses gray value information and the output of the structure size estimator as input (left). A non-classified SSE histogram is shown with color coding according to the bin population: red = low to blue = high.

2. Braumann UD, Franke H, Hengstler J, et al. Graph-based quantification of astrocytes. Proc BVM. 2006; p. 379–383. 3. Fischer B, Sauren M, G¨ uld M, et al. Scene analysis with structural prototypes for content-based image retrieval in medicine. Procs SPIE. 2008;6914. 4. Conte D, Foggia P, Sansone C, et al. Thirty years of graph matching in pattern recognition. Intern J Pattern Recognit Artif Intell. 2004;18(3):265–298. 5. Pelillo M. Matching free trees, maximal cliques and monotone game dynamics.

A special benefit of 2D histograms based on gray value and gradient magnitude is the distinction between the structures’ boundaries and their inner region. A rendering that emphasizes these boundaries reveals much of the interesting information contained in the image data. Considering how humans perceive different structures in image data, it can be noticed that one differentiates between different locations and also between different sizes of anatomical structures. Consequently, it is reasonable to incorporate spatial as well as structure size information into the 2D TF generation.

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Bildverarbeitung für die Medizin 2009: Algorithmen - Systeme - Anwendungen by Hans-Peter Meinzer, Thomas Martin Deserno, Heinz Handels, Thomas Tolxdorff


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