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Methods and systems for fast automatic brain matching via spectral correspondence
专利权人:
Leo Grady;Herve Jun Alfred Lombaert;Jonathan Rizzo Polimeni;Farida Cheriet
发明人:
Leo Grady,Herve Jun Alfred Lombaert,Jonathan Rizzo Polimeni,Farida Cheriet
申请号:
US13107002
公开号:
US08965077B2
申请日:
2011.05.13
申请国别(地区):
US
年份:
2015
代理人:
摘要:
Methods and systems determine a correspondence of two sets of data, each data set represents an object. A weighted graph is created from each data set, and a Laplacian is determined for each weighted graph, from which spectral components are determined. The spectral components determine a coordinate of a node in a weighted graph. Nodes of a weighted graph are weighted with a quantified feature related to anode. A coordinate related to a quantified feature of a node is added to the coordinate based on the spectral components. Spectral components related to a weighted graph are reordered to a common ordering. Reordered spectral components related to the first and second data set are aligned and a correspondence is determined. An object may be a brain and a feature may be a sulcal depth. Other objects for which a correspondence may be determined include an electrical network, an image and a social network.
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中国工程科技知识中心
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