Linked Life Data

19244008

Source:http://linkedlifedata.com/resource/pubmed/id/19244008

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PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
3
pubmed:dateCreated
2009-2-26
pubmed:abstractText
In this paper, we propose an automated approach for the joint detection of major sulci on cortical surfaces. By representing sulci as nodes in a graphical model, we incorporate Markovian relations between sulci and formulate their detection as a maximum a posteriori (MAP) estimation problem over the joint space of major sulci. To make the inference tractable, a sample space with a finite number of candidate curves is automatically generated at each node based on the Hamilton-Jacobi skeleton of sulcal regions. Using the AdaBoost algorithm, we learn both individual and pairwise shape priors of sulcal curves from training data, which are then used to define potential functions in the graphical model based on the connection between AdaBoost and logistic regression. Finally belief propagation is used to perform the MAP inference and select the joint detection results from the sample spaces of candidate curves. In our experiments, we quantitatively validate our algorithm with manually traced curves and demonstrate the automatically detected curves can capture the main body of sulci very accurately. A comparison with independently detected results is also conducted to illustrate the advantage of the joint detection approach.
pubmed:grant
pubmed:commentsCorrections
http://linkedlifedata.com/resource/pubmed/commentcorrection/19244008-11145307, http://linkedlifedata.com/resource/pubmed/commentcorrection/19244008-11798269, http://linkedlifedata.com/resource/pubmed/commentcorrection/19244008-12044997, http://linkedlifedata.com/resource/pubmed/commentcorrection/19244008-15501091, http://linkedlifedata.com/resource/pubmed/commentcorrection/19244008-15742889, http://linkedlifedata.com/resource/pubmed/commentcorrection/19244008-15843618, http://linkedlifedata.com/resource/pubmed/commentcorrection/19244008-16119262, http://linkedlifedata.com/resource/pubmed/commentcorrection/19244008-16172003, http://linkedlifedata.com/resource/pubmed/commentcorrection/19244008-17379568, http://linkedlifedata.com/resource/pubmed/commentcorrection/19244008-17568146, http://linkedlifedata.com/resource/pubmed/commentcorrection/19244008-9671694, http://linkedlifedata.com/resource/pubmed/commentcorrection/19244008-9873912
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Mar
pubmed:issn
1558-0062
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
28
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
361-73
pubmed:dateRevised
2011-9-26
pubmed:meshHeading
pubmed:year
2009
pubmed:articleTitle
Joint sulcal detection on cortical surfaces with graphical models and boosted priors.
pubmed:affiliation
Laboratory of Neuro Imaging, Department of Neurology, UCLA School of Medicine, Los Angeles, CA 90095, USA.
pubmed:publicationType
Journal Article, Research Support, N.I.H., Extramural