Download e-book for kindle: 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

ISBN-10: 3540321365

ISBN-13: 9783540321361

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, delicate- und Hardwaresysteme sowie deren klinische Anwendungen.

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Read Online or Download Bildverarbeitung für die Medizin 2006 Algorithmen Systeme Anwendungen Proceedings des Workshops vom 19. - 21. März 2006 in Hamburg PDF

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Classifier – Tumor Detection The character of the binary “normal state vs. tumor” classification problem allows the application of linear models on the data. In order to overcome the sparseness of the training problem (256 spectral channels (P ) in the spectral region of Choline, Creatine and NAA, 269 (N ) highly collinear spectra), the spectral regions relevant for the classification were identified in a first feature selection by help of the randomForest Gini importance measure (fig. 1d), the accumulated Gini decrease for all nodes of all trees within the ensemble.

H. Menze et al. of Choline relative to the integral of Creatine as an indicator for the malignity of a tissue change. Unfortunately, the robustness of this resonance line “quantitation” is limited in the presence of noise or artifacts within the spectra, and a visual control by the operator is always required. This effort hampers the routine use of MRSI, but is compulsory to assess the diagnostic value of an MR spectrum. An alternative approach, which is primarily suited for highly resolved (short echo time) spectra, bypasses the quantitation and uses algorithms from pattern recognition and machine learning.

Wenckebach1 , Hans-Christian Hege1 , Georg N. Duda2 und Markus O. de Zusammenfassung. H¨ aufig liegt einer computergest¨ utzten Operationsplanung lediglich ein Satz von wenigen 2D-R¨ ontgenbildern zugrunde. Dennoch ist es ein Anliegen, auf Basis solcher Daten R¨ uckschl¨ usse auf die dreidimensionale Anatomie des Patienten zu ziehen. In dieser Arbeit wird ein Verfahren vorgestellt, das mithilfe eines statistischen 3DFormmodells (SFM) des Beckens die geometrisch sowie toplogisch komplexe 3D-Form aus wenigen R¨ ontgenbildern rekonstruiert.

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Bildverarbeitung für die Medizin 2006 Algorithmen Systeme Anwendungen Proceedings des Workshops vom 19. - 21. März 2006 in Hamburg by Heinz Handels, Jan Ehrhardt, Alexander Horsch, Hans-Peter Meinzer, Thomas Tolxdoff


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