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.

Disclosed are devices and methods for measuring lung respiration volume including processor means for receiving a detected series of heart beats, measuring variability between a period of successive beats, identifying the start and finish of successive breaths by the maxima and minima in the period, identifying the amplitude of variability of period between successive breaths, and thereby determining a value for a measurement of an extent of lung respiration, and output means for generating the value for the measurement of the extent of lung respiration. The disclosed devices and methods have applications in different medical fields. The disclosed devices can be utilised as wearable devices, wherein the signals are generated and may be processed remotely or locally.

A system to generate images based on imaging data of a portion of a body and physiological event data associated with a physiological process of the body. The system is to identify a plurality of physiological cycles based on the physiological event data, determine a duration of each of the plurality of physiological cycles, determine a representative duration based on the durations of each of the plurality of physiological cycles, identify a first plurality of the plurality of physiological cycles based on a difference between the durations of the first plurality of physiological cycles and the representative duration, identify a second plurality of the plurality of physiological cycles different from the first plurality of the plurality of physiological cycles, determine a predetermined number of portions of each of the second plurality of the plurality of physiological cycles, accumulate imaging data acquired during respective portions of each of the second plurality of the plurality of physiological cycles to determine a set of accumulated imaging data for each of the predetermined number of portions, and generate a plurality of images, each of the plurality of images being generated based on a respective one of the sets of accumulated imaging data.

A computing device is provided having at least one processor (104) operative to facilitate motion correction in a medical image file (102). The at least one processor (104) is configured to generate at least one unified frame file (110) based on motion image data (204), depth map data (206) corresponding to the motion image data, and region of interest data (200). Further, at least one corrected image file derived from the medical image file (102) is generated by performing the motion correction based on the at least one unified frame file (110) using the processor (104). Subsequently, the at least one corrected image file is outputted for display to one or more display devices (122).

An imaging system (100) includes a subject support (114) that supports a subject in an examination region (106). The imaging system further includes a detector (112) that detects a signal traversing the examination region, generating an output indicative of the examination region. The imaging system further includes a subject motion sensing system (118) that includes an optical system (206, 208, 214) that detects motion of the subject in the examination region and generates motion data indicative thereof. The imaging system further includes a console (122) that controls at least one of data acquisition or reconstruction based on the motion data.

In order to improve the noise suppression in a video image stream 3 of a medical image recording system, the video image stream including a sequence of frames, it is provided that an image processing unit 5 of the image recording system analyses the video image stream 3 continuously in real time and determines at least one variability between successive image pixels of the frames, for example of spatially adjacent image pixels of frames and/or of image pixels of a plurality of the frames corresponding to one another spatially and temporally, in order, on the basis of the variability determined, to set at least one parameter of a noise suppression subsequently applied to the video image stream 3. As a result, the noise suppression can be adapted continuously to a current recording situation.

Communication systems are described that use signal constellations, which have unequally spaced (i.e. ‘geometrically’ shaped) points. In many embodiments, the communication systems use specific geometric constellations that are capacity optimized at a specific SNR. In addition, ranges within which the constellation points of a capacity optimized constellation can be perturbed and are still likely to achieve a given percentage of the optimal capacity increase compared to a constellation that maximizes d.sub.min, are also described. Capacity measures that are used in the selection of the location of constellation points include, but are not limited to, parallel decode (PD) capacity and joint capacity.

A contact-free method of determining biometric parameters and physiological parameters of a subject of interest (20) to be examined by a medical imaging modality (10), comprising steps of taking (72) a picture by a first digital camera (52) including a total view of an examination table (44); applying (74) a computer vision algorithm or an image processing algorithm to the picture for determining a biometric parameter of the subject of interest (20) in relation to the examination table (44); taking (78) at least one picture with a second digital camera (58), whose field of view (60) includes a region of the subject of interest (20) that is related to the at least one determined biometric parameter; using data indicative of the determined biometric parameter to identify (82) a subset of pixels of the at least one picture taken by the second digital camera (58) that define a region of interest (64) from which at least one physiological parameter of the subject of interest (20) is to be determined, taking (84) a plurality of pictures of the region of the subject of interest (20) with the second digital camera (58), and applying (86) a computer vision algorithm or an image processing algorithm to pictures of the plurality of pictures taken by the second digital camera (58) for calculating the region of interest (64) in the pictures of the plurality of pictures for determining the physiological parameter of the subject of interest (20) during examination; a camera system (50) for determining, in a contact-free way, biometric parameters and physiological parameters of a subject of interest (20) to be examined by use of a medical imaging modality (10) and using such method; and—a medical imaging modality (10) configured for acquisition of scanning data of at least a portion of a subject of interest (20), the medical imaging modality (10) comprising such camera system.

A computed tomography machine suitable for interventional procedures provides partial scans displaced about the patient away from the physician position to substantially reduce Compton scattering received by the physician. A modeling of patient dose accounting for the presence of shielding, different physician characteristics, patient positions, and probe position may be accomplished to affect a trade-off between these various factors optimized for interventional or similar procedures where a nonpatient must be close to the scanner during operation.

Methods to quantify motion of a human or animal subject during a magnetic resonance imaging (MRI) exam are provided. In particular, these algorithms make it possible to track head motion over an extended range by processing data obtained from multiple cameras. These methods make current motion tracking methods more applicable to a wider patient population.