[Insight-developers] The Insight Journal-New Submission

[webmaster at insightsoftwareconsortium.org]

Hello,
A new submission has been added to the Insight Journal.

Title: Computational Geometry Computation and KNN Segmentation in ITK
Author(s): Cardenes, Ruben; Sanchez, Manuel Rene; Ruiz-Alzola, Juan
Abstract: 
This work describes the implementation of computational geometry algorithms developed within the Insight Toolkit (ITK): Distance Transform (DT), Voronoi diagrams, k Nearest Neighbor (kNN) transform, and finally a K Nearest Neighbor classifier for multichannel data, that is used for supervised segmentation. We have tested this algorithm for 2D and 3D medical datasets, and the results are excellent in terms of accuracy and performance. One of the strongest points of the algorithms described here is that they can be used for many other applications, because they are based on the ordered propagation paradigm. This idea consists in actually not raster scan the image but rather in start from the image objects and propagate them until the image is totally filled. This has been demonstrated to be a good approach in many algorithms as for example, computation of Distance Transforms, Voronoi Diagrams, Fast Marching, skeletons computation, etc. We show here that these algorithms have low computational complexity and it provides excellent results for clinical applications as the segmentation of brain MRI.

Download the paper at: http://hdl.handle.net/1926/204
Review the paper at: http://insight-journal.org

Generated by the Insight Journal Manager

You are receiving this email because you asked to be informed by the Insight Journal for new submissions.
To change your email preference go to http://insight-journal.org.