@inproceedings{42a7517a742b4dabb20405dada6a80aa,
title = "Statistical and topological atlas based brain image segmentation",
abstract = "This paper presents a new atlas-based segmentation framework for the delineation of major regions in magnetic resonance brain images employing an atlas of the global topological structure as well as a statistical atlas of the regions of interest. A segmentation technique using fast marching methods and tissue classification is proposed that guarantees strict topological equivalence between the segmented image and the atlas. Experimental validation on simulated and real brain images shows that the method is accurate and robust.",
author = "Bazin, {Pierre Louis} and Pham, {Dzung L.}",
year = "2007",
doi = "10.1007/978-3-540-75757-3_12",
language = "English",
isbn = "9783540757566",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
number = "PART 1",
pages = "94--101",
booktitle = "Medical Image Computing and Computer-Assisted Intervention - 10th International Conference, Proceedings",
edition = "PART 1",
note = "10th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2007 ; Conference date: 29-10-2007 Through 02-11-2007",
}