Abstract: A machine implemented method includes acquiring at a processor a first image of a patent by performing a computed tomography (CT) scan of a patient and applying at the processor a generative neural network model to the first image of the patient to generate a second image of the patient. The method may further include performing, at the processor, an analysis using the first image and the second image. The first image may be a first pulmonary image and the second image may be a second pulmonary image. The first pulmonary image may show lungs at a first volume and the second pulmonary image may show the lungs at a second volume, the first volume different from the second volume. The first pulmonary image may be a scan of the lungs at expiration and the second pulmonary image may be an inspiratory image of the lungs.

Abstract: This disclosure describes the use of a phosphodiesterase-5 (PDE5) inhibitor to reduce an individual's desire to smoke and/or frequency of smoking. In some embodiments, the PDE5 inhibitor is sildenafil (e.g., Viagra).

Abstract: Novel systems and methods for airway segmentation are disclosed using confident airway volume, multi-scale topological and geometric leakage detection, exact leakage localization and correction, forbidden volume insertion and freezing, iterative shift in growing techniques starting with a conservative parameter/strategy and progressing toward generous ones, and a final pruning using machine learning, neural network, deep learning or artificial intelligence methods. The systems and methods are fully automated requiring no manual inputs or post-editing steps. The systems and methods use region growing-based segmentation to iteratively grow an airway tree starting with an initial seed, possibly inside the trachea, and a conservative segmentation parameter, e.g., a conservative threshold value for intensity-based region growing. The method then gradually progresses toward more generous values of the segmentation parameters until there is convergence.

Abstract: A system and method for profiling electrical activity in smooth muscle of the gastrointestinal tract muscular of a patient are disclosed. The system includes electromyographic-sensing patches adapted for placement on the skin of the abdomen of the patient. Each patch has at least one bipolar electrode pair, or a multitude arranged in an array, and is enabled for communication of a signal indicative of a sensed electromyographic signal. The system further includes networked computing devices. The local patch device is configured for wireless communication between the EMG-sensing patches and a local computing device, to enable wireless transmission from the patch to the networked computing devices. The networked computing device is configured to process large aggregate collections of multi-hour or day signals received from the local computing device to yield diagnostically valuable physiological parameters of gastrointestinal smooth muscle electrical activity.

Abstract: Novel systems and methods for airway segmentation are disclosed using confident airway volume, multi-scale topological and geometric leakage detection, exact leakage localization and correction, forbidden volume insertion and freezing, iterative shift in growing techniques starting with a conservative parameter/strategy and progressing toward generous ones, and a final pruning using machine learning, neural network, deep learning or artificial intelligence methods. The systems and methods are fully automated requiring no manual inputs or post-editing steps. The systems and methods use region growing-based segmentation to iteratively grow an airway tree starting with an initial seed, possibly inside the trachea, and a conservative segmentation parameter, e.g., a conservative threshold value for intensity-based region growing. The method then gradually progresses toward more generous values of the segmentation parameters until there is convergence.

Abstract: A system and method for profiling electrical activity in smooth muscle of the gastrointestinal tract muscular of a patient are disclosed. The system includes electromyographic-sensing patches adapted for placement on the skin of the abdomen of the patient. Each patch has at least one bipolar electrode pair, or a multitude arranged in an array, and is enabled for communication of a signal indicative of a sensed electromyographic signal. The system further includes networked computing devices. The local patch device is configured for wireless communication between the EMG-sensing patches and a local computing device, to enable wireless transmission from the patch to the networked computing devices. The networked computing device is configured to process large aggregate collections of multi-hour or day signals received from the local computing device to yield diagnostically valuable physiological parameters of gastrointestinal smooth muscle electrical activity.

Abstract: A system and method for profiling electrical activity in smooth muscle of the gastrointestinal tract muscular of a patient are disclosed. The system includes electromyographic-sensing patches adapted for placement on the skin of the abdomen of the patient. Each patch has at least one bipolar electrode pair, or a multitude arranged in an array, and is enabled for communication of a signal indicative of a sensed electromyographic signal. The system further includes networked computing devices. The local patch device is configured for wireless communication between the EMG-sensing patches and a local computing device, to enable wireless transmission from the patch to the networked computing devices. The networked computing device is configured to process large aggregate collections of multi-hour or day signals received from the local computing device to yield diagnostically valuable physiological parameters of gastrointestinal smooth muscle electrical activity.

Abstract: An availability system is provided that includes a hierarchy of controllers for providing event notifications relating to availability of components of a scalable MPP system. A controller receives a subscription from a child controller that identifies an event type and a generator. The controller stores in a subscription store an indication that the subscription has been received from the child controller. When a parent controller has not yet been notified of a subscription with a matching event type and generator as indicated by the subscription store, the controller sends the subscription to the parent controller. When the parent controller has already been notified of a subscription with a matching event type and generator as indicated by the subscription store, the controller suppresses the sending of the subscription to the parent controller.

Abstract: A structural and functional model for a lung or similar organ is virtually defined by encoding aspects of branching passageways. Larger passageways that are visible in medical images are surface mesh fitted to the anatomical surface geometry. Smaller distal passageways, beyond a given number of branch generations, are modeled by inference as linear passages with nominal diameters and branching characteristics, virtually filling the space within the outer envelope of the organ. The model encodes finite volumetric elements for elasticity and compliance in passageway walls, and for local pressure and flow conditions in passageway lumens during respiration. The modeling can assess organ performance, help to plan surgery or therapy, determine likely particle deposition, assess respiratory pharmaceutical dosing, and otherwise represent structural and functional organ parameters.

Abstract: A method for automated analysis of textural differences present on an image volume. The image volume includes a plurality of volume elements, and each volume element has a gray level. The method includes defining a volume of interest (VOI); performing texture measures within the VOI; and classifying the VOI as belonging to a tissue pathology class based upon the texture measures. Computer readable media encoded with computer readable instructions for carrying out these functions. An apparatus that includes an image input adapted to receive a diagnostic medical image. The image includes a plurality of pixels, and each pixel has a particular gray level. The apparatus also includes a display for displaying a graphical user interface and the received image; and a processor adapted to perform texture measures on one or more groups of pixels within the image and classify each group of pixels to a tissue pathology class based upon the textures measures.

Abstract: An availability system is provided that includes a hierarchy of controllers for providing event notifications relating to availability of components of a scalable MPP system. A controller receives a subscription from a child controller that identifies an event type and a generator. The controller stores in a subscription store an indication that the subscription has been received from the child controller. When a parent controller has not yet been notified of a subscription with a matching event type and generator as indicated by the subscription store, the controller sends the subscription to the parent controller. When the parent controller has already been notified of a subscription with a matching event type and generator as indicated by the subscription store, the controller suppresses the sending of the subscription to the parent controller.

Abstract: A method and apparatus for analyzing CT images to determine the presence of pulmonary tissue pathology, such as in emphysema, IPF, sarcoid, etc. In accordance with one embodiment, a CT slice is selected to perform an automated, objective, and quantitative analysis of the slice. Initially, an image processing stage is performed, which includes segmentation and edgementation of the selected CT slice for preparation of a series of objective, quantitative measures to be performed on the slice. A region of interest (ROI) is selected on the CT slice in which these objective, quatitative measures are to be taken. The first set of objective, quantitative measures are first order texture measures that describe a frequency of occurrence of all gray levels assigned to pixels within the ROI of the image slice. The second set of objective, quantitative measures are second order texture measures that characterize the spatial interdependencies between particular pixels of the ROI.

Abstract: A method and apparatus for analyzing CT images to determine the presence of pulmonary tissue pathology, such as in emphysema, IPF, sarcoid, etc. In accordance with one embodiment, a CT slice is selected to perform an automated, objective, and quantitative analysis of the slice. Initially, an image processing stage is performed, which includes segmentation and edgementation of the selected CT slice for preparation of a series of objective, quantitative measures to be performed on the slice. A region of interest (ROI) is selected on the CT slice in which these objective, quatitative measures are to be taken. The first set of objective, quantitative measures are first order texture measures that describe a frequency of occurrence of all gray levels assigned to pixels within the ROI of the image slice. The second set of objective, quantitative measures are second order texture measures that characterize the spatial interdependencies between particular pixels of the ROI.

Abstract: Method and apparatus for maximizing the volume of blood pumped by a heart and maximizing ventilation/perfusion matching in the lungs, wherein the lungs are ventilated by a respirator in response to a control signal, are shown to include a series of monitors for generating a heart signal such as an electrocardiogram, a lung air flow rate signal and a lung air pressure signal and a controller, connected to receive these signals and to the respirator. The controller monitors the signals and generates the control signal when the heart signal is representative of a desired in point in the pumping cycle of the heart and the other signals indicate desired flow rate and pressure in the lungs. In a preferred embodiment, the control signal is generated so as to maximize the augmentation of the pumping of the heart and to minimize the trapping of air in the lungs. Using the present invention, blood being pumped from the heart is assisted by the ventilation of the lungs.

Abstract: A ventiltor for ventilating the lungs of a patient is described as including a valve member connected to a fluid source and to the patient. The valve member controls the flow of fluid to the patient in response to a control signal. A programmable controller, connected to the valve member, generates the control signal for the valve member. The programmable controller includes a memory in which fluid flow rate information has been stored and a microprocessor. The controller is operative to determine a desired fluid flow rate in relation to the flow rate information and for generating the control signal in relation to the flow rate signal. In a preferred embodiment the valve member includes a plurality of first and second valves, wherein each of the second valves are operative to allow fluid to pass therethrough at flow rates which are multiples of a master flow rate. It is especially preferred for the multiple for each second valve to be equal to the value 2.sup.