User-Guided Level Set Segmentation of Anatomical Structures with ITK-SNAP
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Active contour segmentation and its robust implementation using level sets have been studied thoroughly in the medical image analysis literature. Despite the availability of these powerful methods, clinical research still largely relies on manual [...]

Level Set Segmentation: Active Contours without edge
An Insight Toolkit (ITK) processing framework for segmentation using active contours without edges is presented in this paper. Our algorithm is based on the work of Chan and Vese [1] that uses level- sets to accomplish region segmentation in images with [...]

Segmentation of Skull-infiltrated Tumors Using ITK: Methods and Validation
Methods for segmentation of skull infiltrated tumors in Computed Tomography (CT) images using Insight Segmentation and Registration Toolkit ITK ( are presented. Pipelines of filters and algorithms from ITK are validated on the basis of [...]

Cell Tracking using Coupled Active Surfaces for Nuclei and Membranes
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An Insight Toolkit (ITK) processing framework for segmenting and tracking nuclei in time-lapse microscopy images using coupled active contours is presented in this paper. We implement the method of Dufour et al.[2] to segment and track cells in fluorescence [...]

Fully automatic brain segmentation using model-guided level sets and skeleton-based models
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A fully automatic brain segmentation method is presented. First the skull is stripped using a model-based level set on T1-weighted inversion recovery images, then the brain ventricles and basal ganglia are segmented using the same method on T1-weighted [...]

level set segmentation using coupled active surfaces
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An Insight Toolkit (ITK) processing framework for simultaneous segmentation of multiple objects using active contours without edges is presented in this paper. These techniques are also popularly referred to as multiphase methods. Earlier, we had an [...]

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