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

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

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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P. 193–200. 4. Ropinski T, Praßni JS, et al. Internal labels as shape cues for medical illustration. In: Vision, Modeling, and Visualization; 2007. p. 203–212. 5. Preim B, Raab A. Annotation von topographisch komplizierten 3D-Modellen. In: SimVis; 1998. p. 128–140. 6. Ali K, Hartmann K, Strothotte T. Label layout for interactive 3D illustrations. J WSCG. 2005;13(1):1–8. 7. Chronaki C, Zabulis X, Orphanoudakis SC. I2Cnet medical image annotation service. Med Inform. 1997;22(4):337–347. 8. Goede PA, Lauman JR, et al.

G. opacity can be set depending on the gray value at a given voxel position. Since the location of boundaries is of high interest, early work focused on the extraction of isocontours [2] and on finding optimal threshold values that correspond to intensity transitions [3]. A better distinction between different structures can be achieved when additional parameters like gradient magnitude are used for generating multidimensional TFs [4]. However, the definition of those TFs is a difficult task, and several techniques for helping the user have been proposed [5, 6, 7].

4. Comparing rendering quality: conventional volume rendering of fused CISSTOF volume (left), rendering polygonal models only (middle) and polygonal models with color-coded distance information (right). Analysis of nerve vessel contacts 25 Fig. 5. Case of hemifacial spasm: intraoperative photo (left) and rendering in the same viewing direction showing the offending artery (1) and the related nerve (2) (right). 3 mm 1 2 1 mm 0 mm Our approach provides an excellent overview of the target area and allows easy interaction with the delineated structures.

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