An Adaptive Level Set Method for Medical Image Segmentation

An efficient adaptive multigrid level set method for front propagation purposes in three dimensional medical image processing and segmentation is presented. It is able to deal with non sharp segment boundaries. A flexible, interactive modulation of the front speed depending on various boundary and regularization criteria ensure this goal. Efficiency is due to a graded underlying mesh implicitly defined via error or feature indicating values on the cells of the underlying hexahedral grid. A suitable saturation condition ensures an important regularity condition on the resulting adaptive grid. This simplifies the adaptive fast marching method on the compressed data significantly. As an application the segmentation of glioma is considered. Thus the clinician interactively selects a few parameters describing the speed function and a few seed points referring to a single slice of an MRI data set. Then the automatic process of front propagation generates a family of segments corresponding to...

• Type: Conference
• Year: 2001
• Where: IPMI
• Authors: Marc Droske, Bernhard Meyer, Martin Rumpf, Carlo Schaller
• Keywords: Adaptive Fast Marching, Adaptive Multigrid Level, IPMI 2001, Medical Imaging, Overall Glioma Segmentation