A method, apparatus, and system for determining a correspondence of physiological data obtained in a physiological study of a subject. The method includes extracting a first signal from the physiological study. A second signal from the physiological study is also extracted. The first signal and the second signal are obtained by one or more biometric sensors. Data of the first signal and data of the second signal are stored on a memory storage. A coherency value is determined between components of the extracted first signal and components of the extracted second signal. And the correspondence of the physiological study data is determined based on the determined coherency value.

A surgical instrument navigation system and method of use is provided that visually simulates a virtual volumetric scene of a body cavity of a patient from a point of view of a surgical instrument residing in the cavity of the patient, wherein the surgical instrument, as provided, may be a steerable surgical catheter with a biopsy device and/or a surgical catheter with a side-exiting medical instrument, among others. Additionally, systems, methods and devices are provided for forming a respiratory-gated point cloud of a patient's respiratory system and for placing a localization element in an organ of a patient.

In order to enhance enhanced X-ray image inhalation quality monitoring, a metric is proposed hat reproducibly provides an index of ribs visible to be used in the assessment of the inhalation state. In an example, a detected diaphragm in a chest X-ray image may be projected into an atlas that contains labels for all intercostal spaces, namely spaces between rib centerlines. A spatial representation of both the clavicle and the ribs is provided in the atlas, a cumulative histogram is built for all points, i.e. pixels, of the diaphragm, for every point a rib label counter of the rib in the rib label map at that point is incremented as well as all ribs above it, the rib label counter is normalized by a division by the number of points, the median (or a different quantile) may be taken of this distribution serving as an inhalation index. An objective metric of inhalation state is thus achieved.

A vital sign detection system includes a radar device, a nonreciprocal network, a first antenna and a second antenna. An output signal from the radar device is delivered to the first antenna via the nonreciprocal network and then transmitted to a first side of a biological subject via the first antenna. A first reflection signal from the first side of the biological subject is received by the first antenna and then delivered to the second antenna via the nonreciprocal network and then transmitted to a second side of the biological subject via the second antenna. A second reflection signal from the second side of the biological subject is received by the second antenna and then delivered to the radar device via the nonreciprocal network for vital sign detection with random body movement cancellation.

In a method and medical imaging apparatus for determining a feature characterizing intentional breath-holding by an examination object for acquiring medical raw data with breath-holding algorithm, an algorithm, the algorithm being designed to allocate at least one feature characterizing intentional breath-holding to at least one physiological property. The algorithm includes or accesses trained artificial neural network. A physiological property of the examination object is detected during free breathing of the examination object. The feature characterizing intentional breath-holding by the examination object is determined by the computer, by executing the algorithm with the detected physiological property of the examination object, as an input to the algorithm.

A method includes the following steps: positioning a patient at a first orientation relative to a radiation source, obtaining a measurement of the patient's breathing, and obtaining a measurement of the patient's cardiac function. The method includes, while the patient is positioned at the first orientation relative to the radiation source, and while obtaining the measurement of the patient's breathing phase, determining, from the measurement of the patient's breathing, a breathing phase of the patient and determining, from the measurement of the patient's cardiac function, a cardiac phase of the patient. The method includes gating the radiation source to expose the patient to radiation based on a determination that the breathing phase of the patient matches a predefined breathing phase and a determination that the cardiac phase of the patient matches a predefined window of the cardiac cycle.

A method of determining a biophysical model for a lung of a patient from multiple x-ray measurements corresponding to different breathing phases of the lung is provided. The method includes extracting multiple displacement fields of lung tissue from the multiple x-ray measurements corresponding to different breathing phases of the lung. Each displacement field represents movement of the lung tissue from a first breathing phase to a second breathing phase and each breathing phase has a corresponding set of biometric parameters. The method includes calculating one or more biophysical parameters of a biophysical model of the lung using the multiple displacement fields of the lung tissue between different breathing phases of the lung and the corresponding sets of biometric parameters.

A method of generating a 3D x-ray image cube movie from 2D x-ray images of a patient is provided. The method includes converting first multiple sets of x-ray images of a lung captured at different projection angles into second multiple sets of x-ray images of the lung corresponding to different breathing phases. The method further includes generating a static image cube from each set of the second multiple sets of x-ray images at a respective breathing phase using back projection. The method includes combining the static image cubes corresponding to the different breathing phases of the lung into a 3D x-ray image cube movie through temporal interpolation.

An apparatus for assisting a selection of motion management technique for use with a treatment machine having an energy source, comprises: one or more input for obtaining motion trace of a target to be treated, and/or for obtaining motion data of a fiducial; and a motion management processor configured to determine motion management data based at least in part on at least a portion of the motion trace of the target and/or at least a portion of the motion data of the fiducial, wherein the motion management data indicates desirability and/or undesirability of one or more motion management option(s); wherein the motion management processor is also configured to output the motion management data for assisting the selection of the motion management technique for use with the treatment machine.

An apparatus for assisting a selection of motion management technique for use with a treatment machine having an energy source, comprises: one or more input for obtaining motion trace of a target to be treated, and/or for obtaining motion data of a fiducial; and a motion management processor configured to determine motion management data based at least in part on at least a portion of the motion trace of the target and/or at least a portion of the motion data of the fiducial, wherein the motion management data indicates desirability and/or undesirability of one or more motion management option(s); wherein the motion management processor is also configured to output the motion management data for assisting the selection of the motion management technique for use with the treatment machine.