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OVERVIEW APPLICATIONS ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() INTERACTIVE APPLETS HISTORY OF THE METHODS/FLOW CHART PUBLICATIONS EDUCATIONAL MATERIAL ACKNOWLEDGEMENTS ABOUT THE AUTHOR/CV Copyright: 1996-2010 J.A. Sethian |
Segmentation in Medical Imaging![]()
Interactive Java AppletTry out an interactive Java applet for automatic shape recoveryAdvantages of this ApproachThe level set approach allows the evolving front to change topology, break, and merge, which means that the evolving front can extract the boundaries of particularly intricate contours. In addition, the method works in three dimensions with almost no change, so three dimensional surfaces can be extracted as well.DetailsThe calculation was performed using a level set method to track the motion of an initial interface, which is embedded as the signed distance function. The resulting level set equation for front propagation is then updated using a first order in time, central difference in space scheme. The approach is similar to that of active contour models, in that a speed function is synthesized from the image gradient, and includes an expansive balloon force, a curvature-driven surface tension term, and Gaussian mollifier based on the local image-gradient. Additional moviesReferences
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