By Thomas Martin Deserno, Heinz Handels, Hans-Peter Meinzer, Thomas Tolxdorff
In den letzten Jahren hat sich der Workshop "Bildverarbeitung für die Medizin" durch erfolgreiche Veranstaltungen etabliert. Ziel ist auch 2014 wieder die Darstellung aktueller Forschungsergebnisse und die Vertiefung der Gespräche zwischen Wissenschaftlern, Industrie und Anwendern. Die Beiträge dieses Bandes - einige davon in englischer Sprache - umfassen alle Bereiche der medizinischen Bildverarbeitung, insbesondere Bildgebung und -akquisition, Molekulare Bildgebung, Visualisierung und Animation, Bildsegmentierung und -fusion, Anatomische Atlanten, Zeitreihenanalysen, Biomechanische Modellierung, Klinische Anwendung computerunterstützter Systeme, Validierung und Qualitätssicherung u.v.m.
Read Online or Download Bildverarbeitung für die Medizin 2014: Algorithmen - Systeme - Anwendungen Proceedings des Workshops vom 16. bis 18. März 2014 in Aachen PDF
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Extra info for Bildverarbeitung für die Medizin 2014: Algorithmen - Systeme - Anwendungen Proceedings des Workshops vom 16. bis 18. März 2014 in Aachen
Example text
C} By assuming p(Y |X) takes a Gaussian distribution, the contour relaxation can be done for all pixels lying along the contour of the current lung region according to x ˆi = 0 < 1 √ + nA|ˆx=1 + 2nB|ˆx=1 > x ˆi = 1 2 1 N0|ˆx=0 ln σ ˆ0|ˆ ˆ0|ˆ x=0 ln σ x=0 + x=0 + N1|ˆ x=0 + nA|ˆ 2 1 N0|ˆx=1 ln σ ˆ0|ˆ ˆ0|ˆ x=1 ln σ x=1 + N1|ˆ x=1 √ 2nB|ˆx=0 (2) where Nc|ˆx represents the pixel number in either region c = 1 for the lung 2 inside, or c = 0 for the outside, and σ ˆc|ˆ x is the estimated variance corresponding to the class of x ˆ, while N is the total number of all pixels.
1 9 Automatic segmentation of pleural contour 1. After an initial segmentation using the 3D histogram by supervised rangeconstrained Otsu thresholding twice, the 3D histogram of connected pulmonary organs is modeled as a finite mixture of c Gaussian distributions p(x, φ) to detect and remove trachea and bronchi. Parameters φ are estimated using the Expectation-Maximization algorithm with all n voxels: n L(φ) = i=1 p(xi , φ). ,c} classification of that pulmonary region. After removing trachea and bronchi, left and right lungs are separated.
The estimated GFR summed over both kidneys, the GFR of the IC test, and the deviation of the estimated GFR and the IC test are shown. Data D1 D2 D3 D4 VP TP FT TT Resid. 0031 51 51 62 131 56 60 11 87 GFR IC GFR Dev. 102 97 5% 193 127 52% 116 106 10% 98 101 3% Acknowledgement. We thank the MR kidney function research group and Jarle Rørvik (MD, PhD) et al. from the Department of Radiology, Haukeland University Hospital, Bergen, Norway for providing this interesting data. In addition, we thank Antonella Zanna Munthe-Kaas (PhD) and Erlend Hodneland (PhD) form the Department for Mathematics and Biomedicine, University of Bergen, Norway for the interesting discussions.
