Abstract: An example method for mapping tissue magnetic susceptibility includes acquiring magnetic resonance (MR) data, where the MR data correspond to a subject, determining a magnetic field based on the MR data, determining a relationship between the magnetic field at a given location to the magnetic susceptibility at that location, and performing a convolution operation on the relationship between the magnetic field at the given location to the magnetic susceptibility at that location to obtain a noise property. The method also includes estimating a magnetic susceptibility distribution of the subject based, at least in part, on the noise property, and generating one or more images of the subject based on the estimated susceptibility distribution of the subject.

Abstract: An example implementation of a method for mapping tissue magnetic susceptibility includes acquiring magnetic resonance (MR) images acquired at multiple echo times, where the MR images correspond to a subject comprising at least two species of protons, and where each species has a different chemical shift in its respective resonance frequency. The method also includes determining, for each species, an estimated chemical shift value, determining an estimated map of magnetic field inhomogeneity based on the estimated chemical shift values, determining an estimated susceptibility distribution of the subject and an error of each estimated chemical shift value based on the estimated map of magnetic field inhomogeneity and prior information regarding the subject, and generating an image of the subject based on the estimated susceptibility distribution.

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 statistical approach. The likelihood is constructed directly using the complex data. A prior is constructed from matching structures or information content in known morphology. The quantitative susceptibility map can be determined by, e.g., maximizing the posterior. Thus, according to the exemplary embodiment, system, method and computer-accessible medium can be provided for determining information associated with at least one structure. Using such exemplary embodiment, it is possible to receive signals associated with the structure(s), where the signals can include complex data that is in the complex domain.

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 statistical approach. The likelihood is constructed directly using the complex data. A prior is constructed from matching structures or information content in known morphology. The quantitative susceptibility map can be determined by, e.g., maximizing the posterior. Thus, according to the exemplary embodiment, system, method and computer-accessible medium can be provided for determining information associated with at least one structure. Using such exemplary embodiment, it is possible to receive signals associated with the structure(s), where the signals can include complex data that is in the complex domain.