Some implementations provide an MRI system that includes: a housing having a bore accommodating a portion of a subject; a main magnet enclosed by said housing and configured to generate a substantially uniform magnet field within the bore; a gradient sub-system to provide perturbations to the substantially uniform magnet field; a flexible coil assembly configured to (i) receive radio frequency (RF) signals from the subject in response to the portion of the subject being scanned, and (ii) generate and apply B.sub.0 shimming to improve a field homogeneity of the substantially uniform magnetic field; and a control unit configured to: drive the gradient sub-system using a gradient waveform; and receive measurement results responsive to the gradient waveform such that a coupling between the gradient sub-system and the flexible coil assembly is determined and subsequently reduced in response to the determined coupling exceeding a pre-determined threshold.

A method of diagnosing a likelihood of onset or progression of Alzheimer's disease and related dementias (ADRD) in a subject is provided. The method requires determining vascularization changes in different regions of the brain on the basis of a quantitative cerebral blood volume (qCBV) map of the subject's brain. The qCBV is obtained from one or more quantitative ultrashort time-to-echo contrast-enhanced (QUTE-CE) MRI images of the brain. A method of treating a subject for ADRD is provided. Diagnostic markers for onset and progression of Alzheimer's disease are also provided.

Embodiments include a system for determining cardiovascular information for a patient. The system may include at least one computer system configured to receive patient-specific data regarding a geometry of the patient's heart, and create a three-dimensional model representing at least a portion of the patient's heart based on the patient-specific data. The at least one computer system may be further configured to create a physics-based model relating to a blood flow characteristic of the patient's heart and determine a fractional flow reserve within the patient's heart based on the three-dimensional model and the physics-based model.

Embodiments include a system for determining cardiovascular information for a patient. The system may include at least one computer system configured to receive patient-specific data regarding a geometry of the patient's heart, and create a three-dimensional model representing at least a portion of the patient's heart based on the patient-specific data. The at least one computer system may be further configured to create a physics-based model relating to a blood flow characteristic of the patient's heart and determine a fractional flow reserve within the patient's heart based on the three-dimensional model and the physics-based model.

Embodiments include a system for determining cardiovascular information for a patient. The system may include at least one computer system configured to receive patient-specific data regarding a geometry of the patient's heart, and create a three-dimensional model representing at least a portion of the patient's heart based on the patient-specific data. The at least one computer system may be further configured to create a physics-based model relating to a blood flow characteristic of the patient's heart and determine a fractional flow reserve within the patient's heart based on the three-dimensional model and the physics-based model.

Systems and methods are described for computing a quantitative index that characterizes Alzheimer's disease (“AD”) risk events based on a temporally ordered sequence of biomarker events. In general, the systems and methods described here implement a modified event-based probabilistic (“EBP”) model to calculate the risk index from biomarker data.

The present disclosure is directed to combined angiography and perfusion using radial imaging and arterial spin labeling.

In a method and device for fingerprinting magnetic resonance imaging, a first sequence of MR data is acquired within a region of interest using a fingerprinting magnetic resonance pulse sequence; the first sequence of MR data is input to a neural network; a second sequence of MR data from the neural network is output from the neural network, the second sequence of MR data having reduced undersampling/aliasing artifacts and/or noise compared to the first sequence of MR data; values of at least one quantitative parameter are determined for the region of interest based on the second sequence of MR data; and a quantitative parameter map of the at least one quantitative parameter for the region of interest is constructed based on the determined values.

The present techniques relate to a techniques for performing cardiac perfusion imaging in order to detect perfusion defects in the myocardium. The present techniques relate to methods for performing cardiac perfusion imaging by performing at least two image acquisitions using different, customizable saturation delay times, which improves the ability to detect defects.

The present invention is directed to a system and method for determining blood volume in a subject. Blood volume is an important hemodynamic parameter for monitoring many disorders, such as stoke and cancer. Current MRI techniques for quantification of absolute blood volume for such clinical applications all require injecting exogenous contrast agents. To reduce associated safety risks and cost, the present invention is directed to a non-contrast-enhanced MRI method for blood volume mapping on MRI. The technique of the present invention employs velocity-selective (VS) pulse trains in paired control and label modules for separating vascular signal by subtraction. The Fourier-transform based VS saturation pulse train (FT-VSS) of the present invention has improved performance over conventional VS pulse trains for the blood volume measurement.