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AUTOMATIC TRACT EXTRACTION VIA ATLAS BASED ADAPTIVE CONNECTIVITY-BASED CLUSTERING
专利权人:
The Trustees of the University of Pennsylvania
发明人:
Ragini Verma,Birkan Tunc
申请号:
US15229594
公开号:
US20170035320A1
申请日:
2016.08.05
申请国别(地区):
US
年份:
2017
代理人:
摘要:
Method and apparatus for processing diffusion data for identification of white matter tracts in the brain of a patient is provided herein. The method involves, with a processor: generating a connectivity based representation of white matter fibers for multiple different subjects from the connectivity signatures of the fibers from a diffusion magnetic resonance imaging (dMRI) without using the physical coordinates of the fibers; generating a fiber bundle atlas from the connectivity based fiber representation of (a) which define a model of the human brain; adaptively clustering fibers of a new patient utilizing the fiber bundle atlas of (b) to extract white matter tracts without manual intervention in the form of drawing regions of interest; and presenting the selected white matter tracts and diffusion data in a report or on a display device. This method and apparatus can be used even for patients having edema or brain perturbations.
来源网站:
中国工程科技知识中心
来源网址:
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