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Proceedings Paper

Statistical segmentation of multidimensional brain datasets
Author(s): Manuel Desco; Juan D. Gispert; Santiago Reig; Andres Santos; Javier Pascau; Norberto Malpica; Pedro Garcia-Barreno
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Paper Abstract

This paper presents an automatic segmentation procedure for MRI neuroimages that overcomes part of the problems involved in multidimensional clustering techniques like partial volume effects (PVE), processing speed and difficulty of incorporating a priori knowledge. The method is a three-stage procedure: 1) Exclusion of background and skull voxels using threshold-based region growing techniques with fully automated seed selection. 2) Expectation Maximization algorithms are used to estimate the probability density function (PDF) of the remaining pixels, which are assumed to be mixtures of gaussians. These pixels can then be classified into cerebrospinal fluid (CSF), white matter and grey matter. Using this procedure, our method takes advantage of using the full covariance matrix (instead of the diagonal) for the joint PDF estimation. On the other hand, logistic discrimination techniques are more robust against violation of multi-gaussian assumptions. 3) A priori knowledge is added using Markov Random Field techniques. The algorithm has been tested with a dataset of 30 brain MRI studies (co-registered T1 and T2 MRI). Our method was compared with clustering techniques and with template-based statistical segmentation, using manual segmentation as a gold-standard. Our results were more robust and closer to the gold-standard.

Paper Details

Date Published: 3 July 2001
PDF: 10 pages
Proc. SPIE 4322, Medical Imaging 2001: Image Processing, (3 July 2001); doi: 10.1117/12.431071
Show Author Affiliations
Manuel Desco, Hospital General Univ. Gregorio Maranon (Spain)
Juan D. Gispert, Hospital General Univ. Gregorio Maranon (Spain)
Santiago Reig, Hospital General Univ. Gregorio Maranon (Spain)
Andres Santos, Univ. Politecnica de Madrid (Spain)
Javier Pascau, Hospital General Univ. Gregorio Maranon (Spain)
Norberto Malpica, Univ. Politecnica de Madrid (Spain)
Pedro Garcia-Barreno, Hospital General Univ. Gregorio Maranon (Spain)


Published in SPIE Proceedings Vol. 4322:
Medical Imaging 2001: Image Processing
Milan Sonka; Kenneth M. Hanson, Editor(s)

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