Yi Wang,Zhe Liu,Youngwook Kee,Alexey Dimov,Yan Wen,Jingwei Zhang,Pascal Spincemaille
申请号：
US15943753
公开号：
US20180321347A1
申请日:
2018.04.03
申请国别(地区):
US
年份:
2018
代理人:
摘要：
Exemplary quantitative susceptibility mapping methods, systems and computer-accessible medium can be provided to generate images of tissue magnetism property from complex magnetic resonance imaging data using the Bayesian inference approach, which minimizes a cost function consisting of a data fidelity term and two regularization terms. The data fidelity term is constructed directly from the complex magnetic resonance imaging data. The first prior is constructed from matching structures or information content in known morphology. The second prior is constructed from a region having an approximately homogenous and known susceptibility value and a characteristic feature on anatomic images. The quantitative susceptibility map can be determined by minimizing the cost function. Thus, according to the exemplary embodiment, system, method and computer-accessible medium can he provided for determining magnetic susceptibility information associated with at least one structure.
