Abstract: Systems and methods are provided for using morphology to determine a confidence level of a civic address associated with an enhanced 911 call. After a request by a public safety answer point (PSAP) for a civic address corresponding to user equipment (UE) initiating a call for emergency services is received at a node, the node receives from the UE a geodetic location corresponding to the UE. The geodetic location corresponding to the UE is utilized to retrieve morphology information from a database. Based at least in part on the morphology information, a confidence level of the civic address can be determined. Upon the confidence level of the civic address satisfying a configurable threshold, the civic address is provided to the PSAP.

Abstract: Systems and methods are disclosed for blood flow simulation. For example, a method may include performing a plurality of blood flow simulations using a first model of vascular blood flow, each of the plurality of blood flow simulations simulating blood flow in a vasculature of a patient or a geometry based on the vasculature of the patient; based on results of the plurality of blood flow simulations, generating a response surface mapping one or more first parameters of the first model to one or more second parameters of a reduced order model of vascular blood; determining values for the one or more parameters of the reduced order model mapped, by the response surface, from parameter values representing a modified state of the vasculature; and performing simulation using the reduced order model parameterized by the determined values, to determine a blood flow characteristic of the modified state of the vasculature.

Abstract: Systems, methods, and computer-readable media herein generate an E911 location report based on a vertical uncertainty and horizontal uncertainty associated with a device-based hybrid (DBH) location and an assisted global positioning system (A-GPS) location received from a UE device. The uncertainties may be compared determine which portions of the DBH location and the A-GPS location to include in a location report sent to a PSAP. A location report including the location information associated with the lower uncertainty can be sent to a PSAP, thus providing the most relevant and accurate information so that first responders can more effectively locate a distressed caller.

Abstract: A computer-implemented method for processing electronic images to quantify coronary microvascular disease may include receiving imaging data of one or more captured electronic images. A first set of the imaging data may have been captured prior to an administration of one or more pharmacological agents, and a second set of the imaging data may have been captured subsequently. The method may further include providing the imaging data and a set of patient data to a machine-learning model. The machine-learning model may have been trained to identify coronary microvascular disease (CMD) features within the captured imaging data and the set of patient data and output one or more CMD measures and/or a predicted CMD endotype. The method may further include transmitting, to a user device, the one or more CMD measures and/or the predicted CMD endotype.

Abstract: Techniques for calculating a location of a position consumer device is disclosed. In one example, a network server may create a fingerprint map from reference data points. Each of the reference data points may include a recorded geo-location of a position source device and signal measurements taken at that recorded geo-location. By initially estimating an initial position of the position consumer device, the network server may apply one or more threshold values to filter reference data points—candidates for interpolation. The network server may then perform an interpolation on one or more pairs of reference data points to find a pair of reference data points that is collinear with the estimated position of the position consumer device. The location of the position consumer device may then be calculated based upon geo-locations of position source devices that are associated with collinear reference data points.

Abstract: Systems and methods are disclosed for blood flow simulation. For example, a method may include performing a plurality of blood flow simulations using a first model of vascular blood flow, each of the plurality of blood flow simulations simulating blood flow in a vasculature of a patient or a geometry based on the vasculature of the patient; based on results of the plurality of blood flow simulations, generating a response surface mapping one or more first parameters of the first model to one or more second parameters of a reduced order model of vascular blood; determining values for the one or more parameters of the reduced order model mapped, by the response surface, from parameter values representing a modified state of the vasculature; and performing simulation using the reduced order model parameterized by the determined values, to determine a blood flow characteristic of the modified state of the vasculature.

Abstract: Systems and methods are disclosed for determining blood flow characteristics of a patient. One method includes: receiving, in an electronic storage medium, patient-specific image data of at least a portion of vasculature of the patient having geometric features at one or more points; generating a patient-specific reduced order model from the received image data, the patient-specific reduced order model comprising estimates of impedance values and a simplification of the geometric features at the one or more points of the vasculature of the patient; creating a feature vector comprising the estimates of impedance values and geometric features for each of the one or more points of the patient-specific reduced order model; and determining blood flow characteristics at the one or more points of the patient-specific reduced order model using a machine learning algorithm trained to predict blood flow characteristics based on the created feature vectors at the one or more points.

Abstract: Systems, methods, and computer-readable media herein generate an E911 location report based on a vertical uncertainty and horizontal uncertainty associated with a device-based hybrid (DBH) location and an assisted global positioning system (A-GPS) location received from a UE device. The uncertainties may be compared determine which portions of the DBH location and the A-GPS location to include in a location report sent to a PSAP. A location report including the location information associated with the lower uncertainty can be sent to a PSAP, thus providing the most relevant and accurate information so that first responders can more effectively locate a distressed caller.

Abstract: Techniques are provided for performing echo planar imaging (EPI) data correction. This includes obtaining positive and negative readout gradient calibration data of an imaging target through non-accelerated EPI acquisitions; respectively adopting first and second DPG kernels to be fitted and respectively used to eliminate phase errors of positive and negative readout gradients to fit the positive and negative readout gradient calibration data of the imaging target, with the fitting targets being positive and negative readout gradient data, respectively, in ghost-free target ACS data, and obtaining, after the fitting, a first and a second DPG kernel for final use; obtaining imaging data of the imaging target through an EPI acquisition; adopting the first and second DPG kernels to correct the phase errors of the imaging data to obtain phase-error-free imaging data.

Abstract: Systems and methods are disclosed for assessing the severity of plaque and/or stenotic lesions using contrast distribution predictions and measurements.

Abstract: Systems and methods are disclosed for determining blood flow characteristics of a patient. One method includes: receiving, in an electronic storage medium, patient-specific image data of at least a portion of vasculature of the patient having geometric features at one or more points; generating a patient-specific reduced order model from the received image data, the patient-specific reduced order model comprising estimates of impedance values and a simplification of the geometric features at the one or more points of the vasculature of the patient; creating a feature vector comprising the estimates of impedance values and geometric features for each of the one or more points of the patient-specific reduced order model; and determining blood flow characteristics at the one or more points of the patient-specific reduced order model using a machine learning algorithm trained to predict blood flow characteristics based on the created feature vectors at the one or more points.

Abstract: Systems and methods are disclosed for identifying and modeling unresolved vessels, and the effects thereof, in image-based patient-specific hemodynamic models. One method includes: receiving, in an electronic storage medium, one or more patient-specific anatomical models representing at least a vessel of a patient; determining, using a processor, the values and characteristics of one or more patient-specific morphometric features in the one or more patient-specific anatomical models; modifying the patient-specific anatomical model using the determined patient-specific morphometric features; and outputting, one or more of, a modified patient-specific anatomical model or a patient-specific morphometric feature to an electronic storage medium or display.

Abstract: Techniques for calculating a location of a position consumer device is disclosed. In one example, a network server may create a fingerprint map from reference data points. Each of the reference data points may include a recorded geo-location of a position source device and signal measurements taken at that recorded geo-location. By initially estimating an initial position of the position consumer device, the network server may apply one or more threshold values to filter reference data points—candidates for interpolation. The network server may then perform an interpolation on one or more pairs of reference data points to find a pair of reference data points that is collinear with the estimated position of the position consumer device. The location of the position consumer device may then be calculated based upon geo-locations of position source devices that are associated with collinear reference data points.

Abstract: Systems, methods, and computer-readable media herein generate an E911 location report based on an uncertainty associated with a device-based hybrid (DBH) location received from a UE device. The uncertainty may be compared to an uncertainty threshold value to determine which values to include in a location report sent to a PSAP. A civic address associated with a UE device may be included in a location report where the uncertainty is sufficiently low, thus a location report can be sent to a PSAP with the most relevant and accurate information so that first responders can more effectively locate a distressed caller.

Abstract: Systems, methods, and computer-readable media herein generate an E911 location report based on an altitude or an altitude uncertainty associated with an estimated location received from a UE device. The altitude and altitude uncertainty may be compared to determined thresholds to determine which portions of the estimated location to include in an E911 location report sent to a PSAP. A location report generated to include the location information that is based on evaluating the altitude and altitude uncertainty can be sent to a PSAP, thus providing the most relevant and accurate information so that first responders can more effectively locate a distressed caller.

Abstract: Techniques for calculating a location of a position consumer device is disclosed. In one example, a network server may create a fingerprint map from reference data points. Each of the reference data points may include a recorded geo-location of a position source device and signal measurements taken at that recorded geo-location. By initially estimating an initial position of the position consumer device, the network server may apply one or more threshold values to filter reference data points—candidates for interpolation. The network server may then perform an interpolation on one or more pairs of reference data points to find a pair of reference data points that is collinear with the estimated position of the position consumer device. The location of the position consumer device may then be calculated based upon geo-locations of position source devices that are associated with collinear reference data points.

Abstract: Systems and methods are disclosed for blood flow simulation. For example, a method may include performing a plurality of blood flow simulations using a first model of vascular blood flow, each of the plurality of blood flow simulations simulating blood flow in a vasculature of a patient or a geometry based on the vasculature of the patient; based on results of the plurality of blood flow simulations, generating a response surface mapping one or more first parameters of the first model to one or more second parameters of a reduced order model of vascular blood; determining values for the one or more parameters of the reduced order model mapped, by the response surface, from parameter values representing a modified state of the vasculature; and performing simulation using the reduced order model parameterized by the determined values, to determine a blood flow characteristic of the modified state of the vasculature.

Abstract: Systems and methods are disclosed for identifying and modeling unresolved vessels, and the effects thereof, in image-based patient-specific hemodynamic models. One method includes: receiving, in an electronic storage medium, one or more patient-specific anatomical models representing at least a vessel of a patient; determining, using a processor, the values and characteristics of one or more patient-specific morphometric features in the one or more patient-specific anatomical models; modifying the patient-specific anatomical model using the determined patient-specific morphometric features; and outputting, one or more of, a modified patient-specific anatomical model or a patient-specific morphometric feature to an electronic storage medium or display.

Abstract: Systems and methods are disclosed for to determining a blood supply and blood demand. One method includes receiving a patient-specific model of vessel geometry of at least a portion of a coronary artery, wherein the model is based on patient-specific image data of at least a portion of a patient's heart having myocardium; determining a coronary blood supply based on the patient-specific model; determining at least a portion of the myocardium corresponding to the coronary artery; determining a myocardial blood demand based on either a mass or a volume of the portion of the myocardium, or based on perfusion imaging of the portion of the myocardium; and determining a relationship between the coronary blood supply and the myocardial blood demand.

Abstract: Systems and methods are disclosed for determining blood flow characteristics of a patient. One method includes: receiving, in an electronic storage medium, patient-specific image data of at least a portion of vasculature of the patient having geometric features at one or more points; generating a patient-specific reduced order model from the received image data, the patient-specific reduced order model comprising estimates of impedance values and a simplification of the geometric features at the one or more points of the vasculature of the patient; creating a feature vector comprising the estimates of impedance values and geometric features for each of the one or more points of the patient-specific reduced order model; and determining blood flow characteristics at the one or more points of the patient-specific reduced order model using a machine learning algorithm trained to predict blood flow characteristics based on the created feature vectors at the one or more points.