@inproceedings{f9d565b8a4f7430c99b391a96fae5761,
title = "Automatic sulcal curve extraction with MRF based shape prior",
abstract = "Extracting and labeling sulcal curves on the human cerebral cortex is important for many neuroscience studies, however manually annotating the sulcal curves is a time-consuming task. In this paper, we present an automatic sulcal curve extraction method by registering a set of dense landmark points representing the sulcal curves to the subject cortical surface. A Markov random field is used to model the prior distribution of these landmark points, with short edges in the graph preserving the curve structure and long edges modeling the global context of the curves. Our approach is validated using a leave-one-out strategy of training and evaluation on fifteen cortical surfaces, and a quantitative error analysis on the extracted major sulcal curves.",
keywords = "Markov random field, Sulcal curve extraction, cortical surface, point set registration, shape prior",
author = "Zhen Yang and Aaron Carass and Prince, {Jerry L.}",
year = "2012",
doi = "10.1109/ISBI.2012.6235573",
language = "English (US)",
isbn = "9781457718588",
series = "Proceedings - International Symposium on Biomedical Imaging",
pages = "418--421",
booktitle = "2012 9th IEEE International Symposium on Biomedical Imaging",
note = "2012 9th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2012 ; Conference date: 02-05-2012 Through 05-05-2012",
}