Abstract: Methods and systems perform magnetic resonance fingerprinting (MRF) by obtaining scan data of a sample at a low-resolution over a k-space and obtaining other scan data at a high-resolution over the k-space. This scan data may be captured over the same regions, different regions, or where one scan data is captured over a sub-region of the other. The low-resolution and high-resolution scanning is repeated according to a scanning ratio between the first scan data and the second scan data to generate interleaved low-resolution and high-resolution scan data. From that interleaved low-resolution and high-resolution scan data, high-resolution tissue property maps of the sample are generated.

Abstract: Methods and systems perform magnetic resonance fingerprinting (MRF) by obtaining scan data of a sample at a low-resolution over a k-space and obtaining other scan data at a high-resolution over the k-space. This scan data may be captured over the same regions, different regions, or where one scan data is captured over a sub-region of the other. The low-resolution and high-resolution scanning is repeated according to a scanning ratio between the first scan data and the second scan data to generate interleaved low-resolution and high-resolution scan data. From that interleaved low-resolution and high-resolution scan data, high-resolution tissue property maps of the sample are generated.

Abstract: The present application provides a system and method for quantifying perfusion using a dictionary matching approach. In some aspects, the method comprises performing a predetermined pulse sequence using an MRI system to acquire MRI data from the subject after having delivered a dose of a contrast agent to the subject. The method also includes comparing the MRI data to a dictionary to determine perfusion information, and generating, using the perfusion information, a report indicative of perfusion within the subject.

Abstract: Methods and systems generate synthetic late gadolinium enhancement (LGE) magnetic resonance images using a magnetic resonance fingerprinting (MRF) acquisition. From a single acquisition, MRF image data is obtained, including co-registered T1 and T2 tissue property maps. Different tissue regions of interest are identified, such as viable myocardium, scar, and blood and T1 and T2 values for each are determined. Based on these, different sets of pulse sequence parameters are determined, e.g., using different synthetic image contrast models receiving the MRF image data. Synthetic LGE images at different contrasts are generated as a result, including a synthetic bright-blood LGE image, a synthetic dark-blood/gray-blood LGE image, and a synthetic optimized imaged.

Abstract: Methods and systems generate synthetic late gadolinium enhancement (LGE) magnetic resonance images using a magnetic resonance fingerprinting (MRF) acquisition. From a single acquisition, MRF image data is obtained, including co-registered T1 and T2 tissue property maps. Different tissue regions of interest are identified, such as viable myocardium, scar, and blood and T1 and T2 values for each are determined. Based on these, different sets of pulse sequence parameters are determined, e.g., using different synthetic image contrast models receiving the MRF image data. Synthetic LGE images at different contrasts are generated as a result, including a synthetic bright-blood LGE image, a synthetic dark-blood/gray-blood LGE image, and a synthetic optimized imaged.

Abstract: A system for displaying and interacting with magnetic resonance imaging (MRI) data acquired using an MRI system includes an image reconstruction module configured to receive the MRI data and to reconstruct a plurality of images using the MRI data, an image rendering module coupled to the image reconstruction module and configured to generate at least one multidimensional image based on the plurality of images and a user interface device coupled to the image rendering module and located proximate to a workstation of the MRI system. The user interface device is configured to display the at least one multidimensional image in real-time and to facilitate interaction by a user with the multidimensional image in a virtual reality or augmented reality environment.

Abstract: A method for quantifying T1, T2 and resonance frequency simultaneously using magnetic resonance fingerprinting (MRF) includes accessing an MRF dictionary using a magnetic resonance imaging (MRI) system. The MRF dictionary is generated by simulating signal evolutions that include associated off-resonance effects for each signal evolution. The method further includes acquiring MRF data from a region of interest in a subject using the MRI system and a MRF pulse sequence having a plurality of radio frequency (RF) excitations and a readout associated with each RF excitation. Each readout includes a plurality of segments and each segment is used to generate a time frame. The method also include comparing the MRF data to the MRF dictionary to identify a plurality of parameters including T1, T2 and resonance frequency for the MRF data and generating a report indicating the at least one of the plurality of parameters of the MRF data.

Abstract: A method for magnetic resonance fingerprinting with out-of-view artifact suppression includes acquiring MRF data from a region of interest in a subject. The MRF data is acquired using a non-Cartesian, variable density sampling trajectory. The MRF data includes data from within a desired field-of-view and data from outside the desired field-of-view. The method also includes generating a set of coil images based on the MRF data with a field-of-view larger than the desired field-of-view, determining a noise covariance based on the MRF data from outside the desired field-of-view, generating a coil combined image using an adaptive coil combination determined based on the noise covariance, applying the adaptive coil combination to the MRF data to grid each frame of the MRF data and generate MRF data with out-of-view artifact suppression. The method also includes identifying at least one property of the MRF data and generating a report.

Abstract: A method for determining quantitative parameters for dynamic contrast-enhanced MR data includes acquiring a set of contrast-enhanced MR data for a region of interest using a T1-weighted pulse sequence, generating at least one contrast concentration curve based on the set of contrast-enhanced MR data, accessing a comprehensive dictionary of contrast concentration curves and generating a grouped dictionary that has a plurality of groups based on the comprehensive dictionary. Each group includes a plurality of correlated contrast concentration curves and a group representative signal for the group. The method also includes comparing a contrast concentration curve with the group representative signal of each group to select a group, comparing the contrast concentration curve to the plurality of correlated contrast concentration curves in the selected group to identify a set of quantitative parameters for the concentration curve and generating a report including the set of quantitative parameter.

Abstract: A method for magnetic resonance fingerprinting with out-of-view artifact suppression includes acquiring MRF data from a region of interest in a subject. The MRF data is acquired using a non-Cartesian, variable density sampling trajectory. The MRF data includes data from within a desired field-of-view and data from outside the desired field-of-view. The method also includes generating a set of coil images based on the MRF data with a field-of-view larger than the desired field-of-view, determining a noise covariance based on the MRF data from outside the desired field-of-view, generating a coil combined image using an adaptive coil combination determined based on the noise covariance, applying the adaptive coil combination to the MRF data to grid each frame of the MRF data and generate MRF data with out-of-view artifact suppression. The method also includes identifying at least one property of the MRF data and generating a report.

Abstract: A system and method for generating quantitative images of a subject using a nuclear magnetic resonance system. The method includes performing a navigator module to acquire navigator data, and performing an acquisition module during free breathing of the subject to acquire NMR data from the subject that contains one or more resonant species that simultaneously produce individual NMR signals in response to the acquisition module. The above steps are repeated to acquire data from a plurality of partitions across the volume. The navigator data is analyzed to determine if the NMR data meets a predetermined condition and if not, the above steps are repeated for at least an affected partition corresponding to NMR data that did not meet the predetermined condition. The NMR data is compared to a dictionary of signal evolutions to determine quantitative values for two or more parameters of the resonant species in the volume.

Abstract: A system for displaying and interacting with magnetic resonance imaging (MRI) data acquired using an MRI system includes an image reconstruction module configured to receive the MRI data and to reconstruct a plurality of images using the MRI data, an image rendering module coupled to the image reconstruction module and configured to generate at least one multidimensional image based on the plurality of images and a user interface device coupled to the image rendering module and located proximate to a workstation of the MRI system. The user interface device is configured to display the at least one multidimensional image in real-time and to facilitate interaction by a user with the multidimensional image in a virtual reality or augmented reality environment.

Abstract: Apparatus, methods, and other embodiments associated with NMR fingerprinting are described. One example NMR apparatus includes an NMR logic configured to repetitively and variably sample a (k, t, E) space associated with an object to acquire a set of NMR signals. Members of the set of NMR signals are associated with different points in the (k, t, E) space. Sampling is performed with t and/or E varying in a non-constant way. The varying parameters may include flip angle, echo time, RF amplitude, and other parameters. The NMR apparatus may also include a signal logic configured to produce an NMR signal evolution from the NMR signals, and a characterization logic configured to characterize a resonant species in the object as a result of comparing acquired signals to reference signals.

Abstract: The present application provides a system and method for quantifying perfusion using a dictionary matching approach. In some aspects, the method comprises performing a predetermined pulse sequence using an MRI system to acquire MRI data from the subject after having delivered a dose of a contrast agent to the subject. The method also includes comparing the MRI data to a dictionary to determine perfusion information, and generating, using the perfusion information, a report indicative of perfusion within the subject.

Abstract: A method for quantifying T1, T2 and resonance frequency simultaneously using magnetic resonance fingerprinting (MRF) includes accessing an MRF dictionary using a magnetic resonance imaging (MRI) system. The MRF dictionary is generated by simulating signal evolutions that include associated off-resonance effects for each signal evolution. The method further includes acquiring MRF data from a region of interest in a subject using the MRI system and a MRF pulse sequence having a plurality of radio frequency (RF) excitations and a readout associated with each RF excitation. Each readout includes a plurality of segments and each segment is used to generate a time frame. The method also include comparing the MRF data to the MRF dictionary to identify a plurality of parameters including T1, T2 and resonance frequency for the MRF data and generating a report indicating the at least one of the plurality of parameters of the MRF data.

Abstract: A method for determining quantitative parameters for dynamic contrast-enhanced MR data includes acquiring a set of contrast-enhanced MR data for a region of interest using a T1-weighted pulse sequence, generating at least one contrast concentration curve based on the set of contrast-enhanced MR data, accessing a comprehensive dictionary of contrast concentration curves and generating a grouped dictionary that has a plurality of groups based on the comprehensive dictionary. Each group includes a plurality of correlated contrast concentration curves and a group representative signal for the group. The method also includes comparing a contrast concentration curve with the group representative signal of each group to select a group, comparing the contrast concentration curve to the plurality of correlated contrast concentration curves in the selected group to identify a set of quantitative parameters for the concentration curve and generating a report including the set of quantitative parameter.

Abstract: Apparatus, methods, and other embodiments associated with NMR fingerprinting are described. One example NMR apparatus includes an NMR logic configured to repetitively and variably sample a (k, t, E) space associated with an object to acquire a set of NMR signals. Members of the set of NMR signals are associated with different points in the (k, t, E) space. Sampling is performed with t and/or E varying in a non-constant way. The varying parameters may include flip angle, echo time, RF amplitude, and other parameters. The NMR apparatus may also include a signal logic configured to produce an NMR signal evolution from the NMR signals, a matching logic configured to compare a signal evolution to a known, simulated or predicted signal evolution, and a characterization logic configured to characterize a resonant species in the object as a result of the signal evolution comparisons.

Abstract: Example apparatus and methods are provided to reconstruct under-sampled three-dimensional (3D) data associated with nuclear magnetic resonance (NMR) signals acquired from a liver. The data is reconstructed using a 3D through-time non-Cartesian generalized auto-calibrating partially parallel acquisitions (GRAPPA) approach to produce a quantized value for a contrast agent concentration in the liver from a signal intensity in the data based, at least in part, on a compartment model of the liver. The quantized value describes a perfusion parameter for the liver.

Abstract: Embodiments associated with combined magnetic resonance angiography and perfusion (MRAP) and nuclear magnetic resonance (NMR) fingerprinting are described. One example apparatus repetitively and variably samples a (k, t, E) space associated with an object to acquire a set of NMR signals that are associated with different points in the (k, t, E) space. Sampling is performed with t and/or E varying in a non-constant way. The apparatus includes a signal logic that produces an NMR signal evolution from the NMR signals and a characterization logic that characterizes a resonant species in the object as a result of comparing acquired signals to reference signals. The apparatus includes an MRAP logic that simultaneously performs MR angiography and produces quantitative perfusion maps. A multi-factor MR bio-imaging panel is produced from a combination of the data provided by the MRAP and NMR fingerprinting. Diagnoses may be made from the multi-factor MR bio-imaging panel.

Abstract: Example embodiments associated with characterizing a sample using NMR fingerprinting are described. One example NMR apparatus includes an NMR logic that repetitively and variably samples a (k, t, E) space associated with an object to acquire a set of NMR signals that are associated with different points in the (k, t, E) space. The NMR signals are produced in response to a FISP-MRF pulse sequence. Sampling is performed with t and/or E varying in a non-constant way. The NMR apparatus may also include a signal logic that produces an NMR signal evolution from the NMR signals and a characterization logic that characterizes a tissue in the object as a result of comparing acquired signals to reference signals. Acquired signals are corrected using data describing an inhomogeneous B1 field produced by the NMR apparatus while the set of NMR signals are acquired.