100 results about "Respiratory phase" patented technology

In certain example embodiments, an air delivery system includes a controllable flow generator operable to generate a supply of pressurized breathable gas to be provided to a patient for treatment and a pulse oximeter. In certain example embodiments, the pulse oximeter is configured to determine, for example, a measure of patient effort during a treatment period and provide a patient effort signal for input to control operation of the flow generator. Oximeter plethysmogram data may be used, for example, to determine estimated breath phase; sleep structure information; autonomic improvement in response to therapy; information relating to relative breathing effort, breathing frequency, and/or breathing phase; vasoconstrictive response, etc. Such data may be useful in diagnostic systems.

A therapeutic apparatus (300, 400, 500, 600) comprising: a therapeutic system (302, 402) for treating a target zone (304) of a subject (306), wherein the therapeutic system has an adjustable focus for directing radiation (410) into the target zone; a respiration sensor (308, 310, 416, 424) for measuring a respiratory phase of the subject; a processor (322) for controlling the therapeutic apparatus; and a memory (326, 328) containing machine executable instructions (340, 342, 344, 346, 348, 350, 352) for execution by the processor, wherein execution of the instructions causes the processor to: send (100, 206) control signals to the therapeutic system that cause treatment of the target zone, receive (102, 208) time-dependant-respiratory-phase-data (330) from the respiration sensor, generate (104, 210) focus-adjustment-control-signals in accordance with the time-dependant-respiratory-phase-data, and send (106, 212) the focus-adjustment-control-signals to the therapeutic system.

The invention relates to a respiratory motion determination apparatus for determining respiratory motion of a living being (3). A raw data providing unit (2) provides raw data assigned to different times, wherein the raw data are indicative of a structure like the apex of the heart muscle, which is influenced by cardiac motion and by respiratory motion, and a reconstruction unit (6) reconstructs intermediate images of the structure from the provided raw data. A structure detection unit (7) detects the structure in the reconstructed intermediate images, and a respiratory motion determination unit (10) determines the respiratory motion of the living being based on the structure detected in the reconstructed intermediate images. This allows determining respiratory motion with high accuracy, without relying on, for example, a stable correlation between a tracking signal of an external respiratory gating device and respiratory phases.

The invention relates to a method for retrospectively classifying chest or abdomen computed tomography (CT) images based on a respiratory phase. The method comprises the following steps of: measuring a preset respiratory cycle and setting parameters of CT scanning; performing movie-mode CT scanning so as to obtain images and endowing each image with a bed number, a layer number and a phase number; performing threshold value segmentation on each image so as to obtain the surface profile of a human body; establishing a profile matrix of each phase by using the height values of pixel points of the surface profile of the human body; accumulating the height values of elements in the profile matrix of each phase and picking out a group of images which correspond to a maximum accumulated sum value from each bed, wherein the group of images serve as an image array of a complete cycle; performing cubic spline smooth fitting on each row of vectors of a profile matrix between two phases by taking any bed as a reference bed, calculating the distance sum of profile height difference between adjacent layers of two phases and picking out image sequence numbers with the minimum distance sum so as to establish a classification matrix; and selecting a classification matrix with the minimum retrospective cycle difference degree, wherein the classification matrix is taken as a retrospective classification result.

The present invention, in one form, is a method for deriving respiratory gated PET image reconstruction from raw PET data. In reconstructing the respiratory gated images in accordance with the present invention, respiratory motion information derived from individual voxel signal fluctuations, is used in combination to create usable respiratory phase information. Employing this method allows the respiratory gated PET images to be reconstructed from PET data with out the use of external hardware, and in a fully automated manner.

A radiation emission control method, apparatus and the program capable of detecting respiratory phases of a test subject with constant accuracy and emitting radiation rays to the test subject in synchronization with an intended respiratory phase, while minimizing the radiation exposure to the subject. A test subject having a contour that varies with the respiration is optically imaged continuously by the optical image obtaining section to sequentially obtain optical images of the subject, and respiratory phases of the subject are detected simultaneously with the optical imaging by the respiratory phase detecting section based on the contour of the subject on the optical images. During the optical imaging, a radiation source is controlled by the control section such that radiation rays are emitted to the test subject when the detected respiratory phase corresponds to an intended respiratory phase of the subject.

A method and system classify respiratory phases in a single channel acoustic signal as inspiratory and expiratory using explicit labeling with label verification. In the method and system, a subject explicitly indicates through a user input the start of a respiratory cycle (i.e. start of inspiration). The phase indication is applied to provisionally label several consecutive phases of a single channel acoustic signal as inspiratory and expiratory. A provisional phase rule set is then generated based on characteristic differences between the inspiratory and expiratory phases. The phase indication, provisional labeling and provisional rule set generation steps are then repeated. The two generated provisional rule sets are then compared for a match to verify the accuracy of the subject's phase indications and the ability to automatically recover phase in the event of signal loss.

The present invention provides information that is an effective aid in diagnosis of chronic obstructive pulmonary disease from thoracic volume images. The storage unit (112) of the medical image processing apparatus stores the data for multiple images of differing respiratory phases that represent the configuration of a subject's thoracic region. A vector-calculating unit (121) calculates the amount of movement of an area among the multiple images for each pixel or region. By combining at least two from among the amount of movement, a feature value determined from image pixel values and the rate of change in the size of a region, a level-determining unit (123) determines a level, which relates to the severity of chronic obstructive pulmonary disease, for each pixel or region.

Computed axial tomography images of different respiratory phases of lungs are obtained, where the intensity of the image measures lung density. One image is deformed to the coordinate space of the other image, and the differences between the intensity values of the other image as compared to the mapped image are evaluated as measures of ventilation.

A system and methods using tracheal sound intensity variations to screen patients suspected of obstructive sleep apnea during wakefulness. The system includes a mechanism positioning the patient and a sound input device attached to a recording device to receive breathing sound signals. A signal conditioning component amplifies and filters the breathing sound signals, and an analog to digital component digitizes the signals. A detecting component detects onsets of respiratory phases, and a separating component separates inspiratory sound signals and expiratory sound signals from the breathing sound signals. A segmenting component segments the inspiratory and expiratory phase signals into a short duration of overlapping windows, and a collection characteristic extraction component obtains characteristics from each window. A calculation component performs statistical analysis to reduce the number of significant characteristics and classify the patient as OSA or non-OSA and predicts severity of the OSA as one of mild, moderate and severe.