A method of medical imaging including receiving k-space data that is divided into multiple k-space data groups, selecting one of the multiple k-space data groups as a reference k-space data group, and calculating spatial transform data for each of the multiple k-space data groups by inputting the multiple k-space data groups and the reference k-space data group into a transformation estimation module. The spatial transformation estimation module is configured for outputting spatial transform data descriptive of a spatial transform between a reference k-space data group and multiple k-space data groups in response to receiving the reference k-space data group and the multiple k-space data groups as input. The method further comprises reconstructing a corrected magnetic resonance image according to the magnetic resonance imaging protocol using the multiple k-space data groups and the spatial transform data for each of the multiple k-space data groups.

A method for measuring respiratory parameters of a subject using a range imaging sensor, wherein the method includes: receiving from the range imaging sensor at least one raw image of at least one portion of the torso of the subject, wherein each point of the raw image represents the distance between the range imaging sensor and the subject; generating a surface image of at least one portion of a surface of the torso of the subject by surface interpolation of the raw image; estimating a respiratory signal as a function of time calculated as the spatial average, in a given region of interest (ROI) defined on the torso of the subject, of the differences between the depth values of the surface image at a given time and the depth values of a reference surface image; and estimating a lung volume.

Methods and systems for assessing characteristics of a lung of a patient. A method includes, during an applied positive end expiratory pressure, identifying a first position of a patient, acquiring first impedance data representative of at least a region of patient's lung when the patient is in the first position, during the applied positive end expiratory pressure, identifying a second different position of a patient, acquiring second impedance data representative of at least the region of patient's lung when the patient is in the second position, comparing the first impedance data with the second impedance data, and determining whether the applied positive end expiratory pressure is sufficient to effectuate recruitment.

Methods and systems for assessing characteristics of a lung of a patient. A method includes, during an applied positive end expiratory pressure, identifying a first position of a patient, acquiring first impedance data representative of at least a region of patient's lung when the patient is in the first position, during the applied positive end expiratory pressure, identifying a second different position of a patient, acquiring second impedance data representative of at least the region of patient's lung when the patient is in the second position, comparing the first impedance data with the second impedance data, and determining whether the applied positive end expiratory pressure is sufficient to effectuate recruitment.

There is described a method of assessing severity of a respiratory distress of a patient. The method generally has, using a three dimensional (3D) camera, generating at least a 3D image encompassing at least a thorax region and an abdomen region of the patient; and using a computer, accessing said 3D image; identifying thorax coordinates indicating coordinates of at least a point of the thorax region of the patient in the 3D image; identifying abdomen coordinates indicating coordinates of at least a point of the abdomen region of the patient in the 3D image; determining a thoraco-abdominal distance based on the thorax coordinates and on the abdomen coordinates; comparing the thoraco-abdominal distance with a threshold; and generating a signal based on said comparison, said signal being indicative of a degree of severity of the respiratory distress of the patient.

A device comprising: (a) an accelerometer or gyroscope that is capable of measuring movement, and (b) a sensor that is configured to monitor and determine a electrical signals or pulse signals of a heart so that the sensor detects a heart rate of a user; wherein the device is configured for placement on a first location of the user to determine a heart rate of the user; wherein the device is configured for placement on or contact with a second location of the user where the sensor measures the user's heart rate and the accelerometer or gyroscope measures a heart rate of a fetus located within the user; and (c) a processor configured to isolate the heart rate of the fetus from the heart rate of the user so that the heart rate of the fetus is displayed on the device.

A device comprising: (a) an accelerometer or gyroscope that is capable of measuring movement, and (b) a sensor that is configured to monitor and determine a electrical signals or pulse signals of a heart so that the sensor detects a heart rate of a user; wherein the device is configured for placement on a first location of the user to determine a heart rate of the user; wherein the device is configured for placement on or contact with a second location of the user where the sensor measures the user's heart rate and the accelerometer or gyroscope measures a heart rate of a fetus located within the user; and (c) a processor configured to isolate the heart rate of the fetus from the heart rate of the user so that the heart rate of the fetus is displayed on the device.

A posture determination apparatus including at least two vibration sensors and a controller. The controller causes the vibration sensors to detect vibrations while the user is lying in bed, calculates waveforms from the detected vibrations and recognizes the characteristics of the waveforms, and determines the posture of the user based on the characteristics. Thereby, it is possible to provide a posture determination apparatus capable of appropriately determining the posture of the user which is one factor of the state of the user.

The present disclosure relates to a coil assembly of an MRI device. The MRI device may be configured to perform an MR scan on a subject. The coil assembly may include one or more coil units, a substrate, and a sensor mounted within or on the substrate. The one or more coil units may be configured to receive an MR signal from the subject during the MR scan. The substrate may be configured to position the one or more coil units during the MR scan. The one or more coil units may be mounted within or on the substrate. The sensor may be configured to detect a motion signal relating to a physiological motion of the subject before or during the MR scan.

The present disclosure relates to a coil assembly of an MRI device. The MRI device may be configured to perform an MR scan on a subject. The coil assembly may include one or more coil units, a substrate, and a sensor mounted within or on the substrate. The one or more coil units may be configured to receive an MR signal from the subject during the MR scan. The substrate may be configured to position the one or more coil units during the MR scan. The one or more coil units may be mounted within or on the substrate. The sensor may be configured to detect a motion signal relating to a physiological motion of the subject before or during the MR scan.