System and method of robust quantitative susceptibility mapping

US10890641B2 · kind B2 · utility

Assignee

• Cornell University · IT

Inventors

• Yi Wang · New York, US
• Zhe Liu · Changchun, CN
• Youngwook Kee · New York, US
• Alexey Dimov · New York, US
• Yan Wen · New York, US
• Jingwei Zhang · Massy, FR
• Pascal Spincemaille · New York, US

Key dates

• Filing date: Apr 3, 2018
• Grant date: Jan 12, 2021
• Expiry date: Sep 20, 2038

Classification

• Technology area (CPC G): Physics
• CPC primary: G06T2207/10008
• WIPO field: Medical technology
• WIPO sector: Instruments

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.