Download Bildverarbeitung für die Medizin 2007: Algorithmen - Systeme by Alexander Horsch, Thomas Martin Deserno, Heinz Handels, PDF

By Alexander Horsch, Thomas Martin Deserno, Heinz Handels, Hans-Peter Meinzer, Thomas Tolxdoff

In den letzten Jahren hat sich der Workshop "Bildverarbeitung für die Medizin" durch erfolgreiche Veranstaltungen etabliert.

Ziel ist auch 2006 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 Algorithmen, smooth- und Hardwaresysteme sowie deren klinische Anwendungen.

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3. Navab N, Wiesner S, Benhimane S, Euler E, Heining S. Visual servoing for intraoperative positioning and repositioning of mobile C-arms. LNCS 2006. 4. Samson C, Le Borgne M, Espiau B. Robot Control: The Task Function Approach. Oxford Engineering Science Series. Oxford, UK: Clarendon Press; 1991. 5. Espiau B, Chaumette F, Rives P. A new approach to visual servoing in robotics. IEEE Trans Robot Automat 1992;8(3):313–326. A New Approach to Ultrasound Guided Radio-Frequency Needle Placement Claudio Alc´erreca1,2, Jakob Vogel2 , Marco Feuerstein2 and Nassir Navab2 1 Image Analysis a.

4 Evaluation of the System For testing the overall US navigation accuracy, we submerged the RF needle in water and scanned its tip with the US transducer. When the US image containing the tip was found, the image along with all tracking information was stored and the RF needle’s tip was marked manually in the US image. US pixel coordinates were scaled back to millimeters. The needle tip’s coordinates in the tracking coordinate frame were transformed into the US plane coordinate system, so both the marked and the tracked coordinates are in the same US plane coordinate system.

65% Fig. 2. Sample image from a real microscopy image sequence (a) and results obtained by the MMPF (b). An enlarged section delineated with a black rectangle in (b) is shown in (c). The image intensities have been inverted for visualization purposes (a) t=0 (b) t=138 (c) t=138 and the number of all true trajectories ntrack,total . ntrack,correct counts those trajectories that span the same time period as their true counterparts, and yield a mean-squared error (MSE) between the measured object displacement and the true object displacement lower than a certain threshold (in our case we used a threshold of 2).

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