Bildverarbeitung für die Medizin 2008: Algorithmen - Systeme by Thomas Tolxdorff, Jürgen Braun, Thomas Martin Deserno, Heinz PDF

By Thomas Tolxdorff, Jürgen Braun, Thomas Martin Deserno, Heinz Handels, Alexander Horsch, Hans-Peter Meinzer

ISBN-10: 3540786392

ISBN-13: 9783540786399

ISBN-10: 3540786406

ISBN-13: 9783540786405

In den letzten Jahren hat sich der Workshop „Bildverarbeitung für die Medizin“ durch erfolgreiche Veranstaltungen etabliert. Ziel ist auch 2008 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, Computerunterstützte Diagnose, Therapieplanung sowie deren klinische Anwendungen.

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Appropriate texturing, like with hatch textures, can provide additional depth cues and therefore enhances the perception of 3D shapes. Ritter et. al [5] describe a hatching algorithm along with shadow-like depth indicators, that is used to increase depth perception for vascular structures. This visualization technique is validated by a large scale user study. Zander et al. [6] direct hatching strokes along the surface curvature. Their approach may be suitable for medical scenarios in general but proves to be problematic for realtime applications.

G. T1 or T2 weighted images). If the probability density functions are considered as images, the normalization can be treated as a registration problem. The resulting non-linear correction function is used to adjust the image intensities of the MRI image series. In [6] this approach is extended to be applicable to a whole body MRI scan. Therefore, the volume is split up into K sub volumes which are corrected separately. In order to include the influence of small local structures the other K − 1 sub volumes are used as regularizer.

1 Introduction MRI has the drawback of having intensity variations due to magnetic field inhomogeneities and scanner-related intensity artifacts. Thus, it is not possible to create a pulse sequence dependent, general intensity scale. Algorithms dealing with the problem of the correction of signal intensity inhomogeneities usually focus on intra-volume signal intensity distortions and do not correct the inherently non-standardness. Hence, intensities obtained from the same or different patients have no meaning related to a specific anatomical tissue even if they are acquired on the same MRI scanner.

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Bildverarbeitung für die Medizin 2008: Algorithmen - Systeme - Anwendungen by Thomas Tolxdorff, Jürgen Braun, Thomas Martin Deserno, Heinz Handels, Alexander Horsch, Hans-Peter Meinzer

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