Bildverarbeitung für die Medizin 2006 Algorithmen Systeme by Heinz Handels, Jan Ehrhardt, Alexander Horsch, Hans-Peter

By Heinz Handels, Jan Ehrhardt, Alexander Horsch, Hans-Peter Meinzer, Thomas Tolxdoff

In den letzten Jahren hat sich der Workshop "Bildverarbeitung f?r die Medizin" durch erfolgreiche Veranstaltungen etabliert. Ziel ist auch 2006 wieder die Darstellung aktueller Forschungsergebnisse und die Vertiefung der Gespr?che zwischen Wissenschaftlern, Industrie und Anwendern. Die Beitr?ge dieses Bandes - einige in englischer Sprache - behandeln alle Bereiche der medizinischen Bildverarbeitung, insbesondere Algorithmen, smooth- und Hardwaresysteme sowie deren klinische Anwendungen.

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Europ¨ aisches Parlament; 2002. 6. Armato SG, Oxnard GR, et al. Evaluation of Semiautomated Measurements of Mesothelioma Tumor Thickness on CT Scans. Academic Radiology 2005;12(10):1301– 1309. 7. Vogel S. Semiautomatische Segmentierung, quantitative Vermessung und Verlaufsdokumentation von Pleuramesotheliomen in Spiral-CT-Bildsequenzen. Lehrstuhl f¨ ur Messtechnik und Bildverarbeitung, RWTH Aachen; 2003. 8. Suzuki S, Abe K. Topological Structural Analysis of Digital Binary Images by Border Following.

7. Lamecker Hans, Lange Thomas, Seebaß Martin. Erzeugung statistischer 3DFormmodelle zur Segmentierung medizinischer Bilddaten. In: Procs BVM; 2003. p. 398–403. 8. Wenckebach ThomasH. Volumetrische Registrierung zur medizinischen Bildanalyse. Master’s thesis. Institut f¨ ur Informatik, Humboldt-Universit¨ at zu Berlin; 2005. 9. The B, Diercks RL, Stewart RE, et al. Digital correction of magnification in pelvic x-rays for preoperative planning of hip joint replacements: theoretical development and clinical results of a new protocol.

Images of the heart valve are taken with 500 fps and an interlaced resolution of 480x420 gray pixels. An image sequence of one valve cycle has a duration of half a second leading to 250 frames. Figure 1 shows two heart valve images. Determing the orifice area is done manually for each frame so far. The researcher has to select a set of points at the leaflet’s tips and the leaflet’s connections to define six triangles. Their summed areas give an approximation to the orifice area. An evaluation of the leaflet fluttering is currently done only qualitively by visual inspection.

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