Difference between revisions of "2010 Summer Project Week EMSegmentation kmeans"

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Revision as of 20:49, 4 June 2010

Home < 2010 Summer Project Week EMSegmentation kmeans

Key Investigators

  • BWH: Ryan Eckbo

Objective

To implement as one of the options: KMeans automatic initialization of tissue class intensities in the EMSegmentation Module in Slicer3.

Approach, Plan

Currently we have stand alone python scripts that take in 3 inputs: a template MRML scene, path to the T1 image, path to the atlas images. Intensities are computed using KMeans and a MRML scene is outputted which can directly be loaded in Slicer3 for segmentation. Registration of images (T1 and atlases) has to be done as a preprocessing step before providing as inputs to the python scripts. Meet up during NAMIC week and see how best this process can be integrated as one of the options with the current EMSegmentation pipeline in Slicer3.

Progress

Will be updated

Delivery Mechanism

This work will be delivered to the NA-MIC Kit as a Loadable module.

References:

  • A Hierarchical Algorithm for MR Brain Image Parcellation. K. Pohl, S. Bouix, M. Nakamura, T. Rohlfing, R. McCarley, R. Kikinis, W. Grimson, M. E. Shenton, W. Wells. IEEE Transactions on Medical Imaging. 2007