Inventors:
- Ithaca NY, US
Zhe Liu - New York NY, US
Youngwook Kee - New York NY, US
Alexey Dimov - New York NY, US
Yan Wen - New York NY, US
Jingwei Zhang - Woodside NY, US
Pascal Spincemaille - New York NY, US
Assignee:
CORNELL UNIVERSITY - Ithaca NY
International Classification:
G01R 33/56
A61B 5/055
G01R 33/565
G01R 33/24
A61B 5/026
A61B 5/00
Abstract:
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 be provided for determining magnetic susceptibility information associated with at least one structure.