@inproceedings{57e8dc384c6e476db906557a4e1cd472,
title = "Robust segmentation of brain MRI using combination of registration and EM-based methods",
abstract = "Brain MRI segmentation is usually performed either based on intensity or non-rigid alignment with manually segmented image. Both of these approaches have drawbacks. Registration-based methods cannot often capture the complexity of cortical folding. On the other hand intensity-based methods assume homogeneous intensities of the tissues which is not well aligned with natural intensity variations of brain tissues. We combine both approaches to obtain a robust segmentation method which is successfully used on healthy and diseased brain MRI of 2-year-old children..",
keywords = "Brain MRI, Expectation-maximization, Non-rigid registration, Segmentation",
author = "Maria Murgasova and Mary Rutherford and Leigh Dyet and David Edwards and Jo Hajnal and Daniel Rueckert",
note = "Publisher Copyright: {\textcopyright} 2007 ACM 978-1-60558-956-5/07/0004 15.00.; 23rd Spring Conference on Computer Graphics, SCCG 2007 ; Conference date: 26-04-2007 Through 28-04-2007",
year = "2007",
doi = "10.1145/2614348.2614364",
language = "English",
series = "Proceedings - SCCG 2007: 23rd Spring Conference on Computer Graphics",
publisher = "Association for Computing Machinery, Inc",
pages = "107--114",
editor = "Spencer, {Stephen N.}",
booktitle = "Proceedings - SCCG 2007",
}