Abstract: The present disclosure is directed to MRI techniques. The techniques include occupying a central region of a first k-space with full sampling along a Cartesian trajectory, occupying a peripheral region of the first k-space with undersampling along a non-Cartesian trajectory; acquiring sensitivity distribution information of receiving coils; based on a sensitivity distribution chart, merging the Cartesian data of the central region according to multiple channels to obtain a third k-space; based on the sensitivity distribution chart, applying parallel imaging and compressed sensing to the undersampled non-Cartesian trajectory to reconstruct an image, obtaining a second k-space by transformation, and when the second k-space and third k-space are synthesized, using a central region of the second k-space to replace the third k-space of a corresponding region to obtain a k-space suitable for image reconstruction.

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 assessing the severity of plaque and/or stenotic lesions using contrast distribution predictions and measurements.

Abstract: In a method for correcting the interference in respiratory navigation, transmitting, during magnetic resonance scanning, a respiratory signal generated by a radio frequency signal generator to a human body; acquiring, as a measured respiratory signal, a respiratory signal passing through the human body and acquired in a local coil, wherein the measured respiratory signal is constituted by a real respiratory signal and an interference signal; determining, according to a respiratory signal coil sensitivity of the real respiratory signal and an interference signal coil sensitivity of the interference signal, a signal relation that is satisfied by the real respiratory signal, the interference signal and the measured respiratory signal; and calculating the signal relation to obtain the real respiratory signal.

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 of providing a location that include receiving location data from user equipment, such as a cellphone or mobile device, and providing the location data in an acceptable form to emergency services, such as a Public Safety Answering Point (PSAP). The location data from the user equipment can undergo a shape conversion process prior to being transmitted to emergency services. The systems and methods evaluate the received location data to determine if a semimajor and a semiminor axis of the received location data are equal in magnitude. If so, the shape conversion process is bypassed to prevent error from being introduced into the location data.

Abstract: A k-space data acquisition device and method, and a magnetic resonance imaging device and method. The k-space data acquisition device includes an acquisition trajectory determiner configured to determine an acquisition trajectory of echo signals in a k space in a manner of filling echo data in a pseudo radial order; and a data acquirer configured to acquire k-space data conforming to the acquisition trajectory and fill the k space.

Abstract: The embodiments of the present disclosure provide a method, system and server for utilizing barcode. The method includes: a server receiving a decoding request sent by a user terminal, the decoding request comprising a barcode image associated with a smart device, or a code value of a barcode presented in the barcode image associated with the smart device; the barcode server acquiring state information associated with the code value of the barcode; returning operation information associated with the user if the state information is a second state information; or sending configuration address information to the user terminal for configuring the smart device, and changing the state information associated with the code value, if the state information is a first state information.

Abstract: The present disclosure related to techniques for extracting a respiratory navigation signal for use in a magnetic resonance imaging system. The extracted respiratory navigation signals accurately represent respiratory motions of a patient.

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.

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 of providing a location that include receiving location data from user equipment, such as a cellphone or mobile device, and providing the location data in an acceptable form to emergency services, such as a Public Safety Answering Point (PSAP). The location data from the user equipment can undergo a shape conversion process prior to being transmitted to emergency services. The systems and methods evaluate the received location data to determine if a semimajor and a semiminor axis of the received location data are equal in magnitude. If so, the shape conversion process is bypassed to prevent error from being introduced into the location data.

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 of providing a location that include receiving location data from user equipment, such as a cellphone or mobile device, and providing the location data in an acceptable form to emergency services, such as a Public Safety Answering Point (PSAP). The location data from the user equipment can undergo a shape conversion process prior to being transmitted to emergency services. The systems and methods evaluate the received location data to determine if a semimajor and a semiminor axis of the received location data are equal in magnitude. If so, the shape conversion process is bypassed to prevent error from being introduced into the location data.

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: The embodiments of the present disclosure provide a method, system and server for utilizing barcode. The method includes: a server receiving a decoding request sent by a user terminal, the decoding request comprising a barcode image associated with a smart device, or a code value of a barcode presented in the barcode image associated with the smart device; the barcode server acquiring state information associated with the code value of the barcode; returning operation information associated with the user if the state information is a second state information; or sending configuration address information to the user terminal for configuring the smart device, and changing the state information associated with the code value, if the state information is a first state information.

Abstract: A k-space data acquisition device and method, and a magnetic resonance imaging device and method. The k-space data acquisition device includes an acquisition trajectory determiner configured to determine an acquisition trajectory of echo signals in a k space in a manner of filling echo data in a pseudo radial order; and a data acquirer configured to acquire k-space data conforming to the acquisition trajectory and fill the k space.