The present disclosure is related to systems and methods for motion detection. The method includes obtaining, via at least one detection device, detection data of a subject located in a field of view (FOV) of a medical device. The method also includes determining motion data of the subject based on the detection data.

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.

A computational methodology for noninvasively assessing the severity of arterial stenosis and predicting the therapeutic outcome of interventional treatment for stenosis assessed as severe, mild, or in between based on patient's CT/MRI imaging data, ultrasound test data, and physio-pathological material properties. The method includes two major parts. The steps in the first part comprise receiving medical data, segmenting the anatomical three-dimensional geometry of the stenosed artery, setting up boundary conditions at inlet and outlets using the ultrasound velocity waveforms together with 3-element WinKessel model, and computing pulsatile pressure waveforms proximal and distal to the existing stenosis for TPI. The steps in the second part comprise of varying the VR of the stenosis virtually from 0% to 95% with an increment of 5%, computing TPI for each level of VR, establishing the functional relation between TPI and VR, identifying the two thresholds of VR.sub.mild and VR.sub.severe on TPI-VR curve, determining the severity of the existing stenosis by comparing VR.sub.existing with VR.sub.mild and VR.sub.severe concurrently and predicting the outcome of the lesion (TPI) improvement after an interventional treatment such as stenting for the existing stenosis.

A method for phase-contrast magnetic resonance imaging (PC-MRI) acquires undersampled PC-MRI data using a magnetic resonance imaging scanner and reconstructs MRI images from the undersampled PC-MRI data by reconstructing a first flow-encoded image using a first convolutional neural network, reconstructing a complex difference image using a second convolutional neural network, combining the complex difference image and the first flow-encoded image to obtain a second flow-encoded image, and generating a velocity encoded image from the first flow-encoded image and second flow-encoded image using phase difference processing.

An implantable medical device system includes an extracardiac sensing device and an intracardiac pacemaker. The sensing device senses a P-wave attendant to an atrial depolarization of the heart via housing-based electrodes carried by the sensing device when the sensing device is implanted outside the cardiovascular system and sends a trigger signal to the intracardiac pacemaker in response to sensing the P-wave. The intracardiac pacemaker detects the trigger signal and schedules a ventricular pacing pulse in response to the detected trigger signal.

A computer-implemented medical data processing method for determining a difference in position of an imaged anatomical body part of a patient, the method comprising executing, on at least one processor of at least one computer, steps of: acquiring, at the at least one processor, first patient image data describing a digital image of a first anatomical body part during a first phase of inspiration and the position of the first anatomical body part during the first phase of inspiration in a first reference system associated with the first image data; acquiring, at the at least one processor, second patient image data different from the first patient image data and describing a digital image of the first anatomical body part during a second phase of inspiration and the position of the first anatomical body part during the second phase of inspiration in a second reference system associated with the second image data; acquiring, at the at least one processor, position transformation data describing a transformation between the first reference system and the second reference system; and determining, by the at least one processor and based on the first patient image data and the second patient image data and the position transformation data, position difference data describing a relative position between the position of the first anatomical body part during the first phase of inspiration and the position of the first anatomical body part during the second phase of inspiration.

A surgical instrument navigation system 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.

A respiratory monitoring device comprises: a light source (30) arranged to generate a projected shadow (S) of an imaging subject (P) positioned for imaging by an imaging device (8); a video camera (40) arranged to acquire video of the projected shadow; and an electronic processor (42) programmed to extract a position of an edge of the projected shadow as a function of time from the acquired video. In some embodiments, the light source is arranged to project the shadow onto a bore wall (20) of the imaging device, and the video camera is arranged to acquire video of the projected shadow on the bore wall. The electronic processor may be programmed to extract the position of the edge (E) as a one-dimensional function of time (46) based on the position of the edge in each frame of the acquired video and time stamps of the video frames.

High-quality magnetic resonance (MR) recordings are triggered with movements of an object, for example the heartbeat. In a method and apparatus for obtaining raw data reconstruction for an MR image, a spin-echo-based sequence is executed that includes applying a static magnetic field and applying a magnetization pulse train. A movement of the object to be imaged is detected and a target contrast for two tissue types of the object is prespecified. The repetition time of the pulse train is set in dependence on the movement of the object to be imaged, and the flip angle is set such that prespecified target contrast for the two tissue types is obtained at the set repetition time.

Data obtained by computer processing device(s) includes human biological change data from event data stream(s) and dynamic marketplaces allowing for ranking change(s). The data can correlate biological change data with ranking statistics from an event such that the correlation identifies and measures a magnitude of change of human biological responses from data acquired from event data stream(s). The correlation of human biological change data and/or dynamic changing marketplace data with ranking statistics creates object(s) for storage and analysis within database(s), wherein the objects possess time synchronized responses before, during or after events. These objects can be packaged with a Packager such that the Packager extracts data from data set(s) wherein data is contained in data sets as data slices and/or other data subsets optionally contained in these objects allowing selectivity of data sets according to desired types and intensities of change(s) of a magnitude determined and measured by the devices.