Abstract: An esophageal monitoring device includes a camera and, optionally, one or more lights to enable visualization of an interior of a subject's esophagus. Visualization of the interior of the subject's esophagus before and after a left atrial ablation procedure may enable a healthcare provider to determine whether or not the left atrial ablation procedure has damaged the subject's esophagus before the subject experiences any symptoms of such damage. An esophageal monitoring device may also include sensors and/or markers that enable a determination of its location within a subject's esophagus. Such an esophageal monitoring device may be configured for three-dimensional mapping, and enable the generation of an accurate three-dimensional map of the physical relationship between a subject's esophagus and the left atrium of his or her heart. Methods of monitoring a subject's esophagus while a left atrial ablation procedure is being conducted on the subject's heart are also disclosed.

Abstract: To provide a medical image processing apparatus and a medical image processing method enabling a reduction in burden of re-imaging and re-interpretation of a medical image. The medical image processing apparatus for processing a medical image includes: a detection section that detects, from the medical image, a candidate region which is a region including a lesion candidate or target tissue, and that calculates an identification score for the candidate region; a designated region acquisition section that acquires a designated region which is a region designated by an operator; and a redetection section that calculates an identification score for the designated region based on the designated region and multiple predefined regions which are regions used in a process of detecting the candidate region.

Abstract: An ultrasonic diagnosis apparatus includes a position detector, and control circuitry. The position detector detects a position in a three-dimensional space of one of an ultrasonic image and an ultrasonic probe. The control circuitry uses a vivisection view defined in a three-dimensional space. The control circuitry associates a structure related to a subject included in the ultrasonic image with a structure included in the vivisection view using a position and orientation in a first three-dimensional coordinate system of the structure related to the subject included in the ultrasonic image and a position and orientation in a second three-dimensional coordinate system of the structure included in the vivisection view.

Abstract: Systems and methods are provided to aid in planning at least a portion of a total knee arthroplasty procedure. The system and method automatically aligns the implant components and the bones according to a desired clinical alignment goal with minimum user input. The system and method further allows the user to adjust the position and orientation of the femur, tibia, or implant in a clinical direction regardless of a pre-adjusted position and orientation of the femur, tibia, or implant. The graphical user interface is provided that includes a three-dimensional (3-D) view window, a view options window, a patient information window, an implant family window, a workflow-specific tasks window, and a limb and knee alignment measures window.

Abstract: Methods and systems for determining a drop delay of a flow stream in a flow cytometer are provided. Aspects of the methods according to certain embodiments include capturing an image of the flow stream to obtain an imaged flow stream, identifying a disturbance at a break off point in the imaged flow stream and calculating the drop delay of the flow stream based on the identified disturbance. Systems for practicing the subject methods having an imaging sensor for capturing one or more images of the flow stream and a processor configured to identify a disturbance at a break off in the imaged flow stream and calculating the drop delay using the imaged flow stream are also provided. Non-transitory computer readable storage mediums are also described.

Abstract: An image coding method includes selecting two or more transform components from among a plurality of transform components that include a translation component and non-translation components, the two or more transform components serving as reference information that represents a reference destination of a current block; coding selection information that identifies the two or more transform components that have been selected from among the plurality of transform components; and coding the reference information of the current block by using reference information of a coded block different from the current block.

Abstract: Disclosed is a stereo matching method of images performed by a system implemented by a computer, including the steps of: receiving a pair of images obtained at different time points; generating a feature map by extracting features of each pixel of the pair of images; generating sequentially cost volumes for partial time points based on the feature map and generating a feature map for the entire disparity by fusing the cost volumes using 2D convolution; and generating a final disparity map by refining the generated feature map.

Abstract: An optical measuring device includes at least one optical sensor configured for optical capture of at least one measurement object at multiple image recording positions. The optical measuring device includes at least one display device configured to display, for multiple predetermined and/or determinable image recording positions, in each case a schematic representation of an image to be recorded at the respective image recording position. The optical measuring device includes at least one data processing unit and at least one interface. The interface is configured to provide at least one item of manipulation information to the data processing unit. The data processing unit is configured to, based on the manipulation information, adapt at least one of the image recording position and an image recording parameter of at least one of the images to be recorded.

Abstract: A method for image segmentation comprises receiving volumetric image data for an anatomical region and generating a first volumetric patch from the volumetric image data. The method also comprises generating a second volumetric patch from the first volumetric patch by weighting a plurality of volumetric units in the first volumetric patch and receiving the second volumetric patch as an input to a convolutional neural network. The method also comprises conducting a down-sampling filter process and conducting an up-sampling filter process within the convolutional neural network.

Abstract: Medical image based collaboration system and methods are provided. A collaboration server 40 creates a medical image based case in response to a request from a requesting system 10 and populates the case with the minimum required information comprising at least a digital medical image and a case number. The collaboration server 40 provides the medical image based case to a consulting system 30 and receives analysis information in response. The collaboration server 40 stores the analysis information in association with the medical image based case and provides the analysis information to the consulting system 30 to complete the medical image based collaboration.

Abstract: A liver fibrosis recognition method based on medical images and a computing device using thereof obtains a plurality of first binary images by segmenting a region of interest in each of a plurality of medical images of a liver. A rectangular region is created for each first binary image, and a plurality of second binary images is obtained by generating a second binary according to each rectangular region and the first binary image. A feature map is obtained from each liver medical image and images are generated according to the second binary images and corresponding to the plurality of feature maps. A model for recognition is iteratively trained based on the plurality of final images and recognition of liver fibrosis in patients is then achievable using the model.

Abstract: An image generation system is provided to: receive a 3D CAD (computer aided design) model comprising 3D model images of a target object; generate a graph data structure; based on the 3D CAD model of the target object and the graph data structure, generate a plurality of augmented CAD models of the target object comprising a plurality of data sets, each data set respectively corresponding to an associated one of a plurality of attribute classes, each data set comprising a plurality of 2D model images; input the plurality of data sets into a generative adversarial network; generate synthetic photorealistic images of the target object using the plurality of generators of the generative adversarial network, the synthetic photorealistic images including attributes in accordance with the plurality of data sets corresponding to the plurality of attribute classes; and output the synthetic photorealistic images of the target object.

Abstract: A system may include an ultrasound probe and a controller unit configured to obtain a baseline ultrasound image of a patient's breast area using the ultrasound probe and to obtain a follow-up ultrasound image of the patient's breast area using the ultrasound probe. The controller unit may further be configured to use one or more machine learning models to compare the baseline ultrasound image with the follow-up ultrasound image; detect a change in a morphology or integrity of the patient's breast area based on the comparison of the baseline ultrasound image with the follow-up ultrasound image; and generate a recommendation for a medical intervention based on the detected change.

Abstract: The present disclosure relates to systems and methods for magnetic resonance imaging. The method may include obtaining primary imaging data associated with a region of interest (ROI) of a subject and obtaining secondary data associated with the ROI. The method may also include determining secondary imaging data based on the secondary data by using a trained model. The method may further include reconstructing a magnetic resonance image based on the primary imaging data and the secondary imaging data.

Abstract: A system and method for providing online games on client devices based on capabilities of the client devices are disclosed. Device capability information may be obtained from the client devices during the online game. Values of one or more capability parameters may be determined based on the device capability information obtained. Device profiles may be assigned to the client devices based on the determined values of the capability parameters. One or more game features may be adjusted in accordance with the assigned device profile for implementing the online game on the client devices. The adjustable game features may include frame rate, level of detail of rendering, level of 3D graphics, level of collision effects, animation type, gameplay available for user interaction, gameplay content for user interaction, communication mode, physics effects available for display, level of artificial intelligence, and/or any other features of the online game.

Abstract: The present disclosure provides a system comprising a SPECT or PET device; a CT device; and a computer comprising memory and a processor in communication with the memory, the memory comprising a computer application program for a method of performing dosimetric analysis of an organ. The computer application program is executable by the processor to perform the method. The method comprising receiving single photon emission computed tomography (SPECT) or positron emission tomography (PET) images at time instances, the SPECT or PET images relating to the organ. The method then receives a computed tomography (CT) image at one of the time instances, the CT image relating to the organ. Virtual CT images are then generated at the other time instances based on the received SPECT or PET images and the CT image. An absorbed dose of ionising radiation on the organ can then be measured based on the received SPECT or PET images, the received CT image, and the generated virtual CT images.

Abstract: A system determines which user of multiple users provided input through a single input device. A mechanism captures images of the one or more users. When input is detected, the images may be processed to determine which user provided an input using the input device. The images may be processed to identify each users head and eyes, and determine the focus point for each user's eyes. The user which has eyes focused at the input location is identified as providing the input. When the input mechanism is a touch screen, the user having eyes focused on the touch screen portion which was touched is identified as the source of the input.

Abstract: Aspects of the invention include generating a cryptographic key to restrict access to a resource. The cryptographic key being defined by a key token. An exemplary method includes designating a storage field in metadata of the key token, in metadata of a cryptographic key data set record that includes the key token, or in a resource access control database that controls use of the cryptographic key for inclusion of an indicator that the cryptographic key may or may not be deleted or modified. The indicator in the designated storage field is set to indicate whether or not the cryptographic key may be deleted or modified.

Abstract: Methods, computer program products and/or systems are provided that perform the following operations: obtaining a first graph comprising first nodes representing first entities and first edges representing relationships between first entities, the first nodes being associated with first entity attributes descriptive of the first entities represented by the first nodes, the first edges being associated with first edge attributes descriptive of the relationships represented by the first edges; determining a first subgraph for a certain node of the first nodes of the first graph, the first subgraph including the certain node and at least one neighboring node of the certain node; and determining a data quality issue regarding the certain node based, at least in part, on applying one or more applicable rules of a set of data quality rules to first entity attribute values and first edge attribute values of the first subgraph.

Abstract: An electronic apparatus is provided. The electronic apparatus includes: a sensor; a camera; a memory; and a processor configured to be connected to the sensor, the camera, and the memory. The memory includes an artificial intelligence model trained to identify at least one object. The processor is further configured to: detect an object based on sensing data received from the sensor; based on the detected object being identified as having a height less than a predetermined threshold value, warp an object region, including the detected object, in an image acquired through the camera based on distance information of the object region; and identify the detected object by inputting the warped object region into the artificial intelligence model.

Abstract: A computer program element and a device are provided for processing a 2D projection image generated during a procedure of fracture treatment of a bone. The computer program element comprises sets of instructions for detecting the reference body in the 2D projection image, detecting at least one element out of the group consisting of an instrument, an implant and an anatomical structure in the 2D projection image, and identifying a current state of the element, determining a state of progress of the procedure of fracture treatment, and providing information regarding steps to be performed next.

Abstract: A system for classifying patient parameter values may include at least one processor programmed to access first information associated with a plurality of patients, the first information including a plurality of patient parameters associated with the plurality of patients, the first information being accessed electronically via a database; determine a first value associated with a patient parameter of at least one of the plurality of patients; analyze second information associated with at least one patient to determine a second value of the patient parameter; detect, based on analysis of at least the first value and the second value, a potential anomaly in the second value; and cause a graphical user interface of a computing device to display at least one graphical element indicating the potential anomaly.

Abstract: A computer-implemented system and method for predicting female sex human offspring to result from a human embryo by processing video image data of the embryo. The method includes receiving image data derived from video of a target embryo taken at substantially real-time frame speed during an embryo observation period of time. The video contains recorded morphokinetic movement of the target embryo occurring during the embryo observation period of time. The movement is represented in the received image data and the received image data is processed using a model generated utilizing machine learning and correlated embryo outcome data.

Abstract: A novel class of imaging systems that combines diffractive optics with 1D line sensing is disclosed. When light passes through a diffraction grating or prism, it disperses as a function of wavelength. This property is exploited to recover 2D and 3D positions from line images. A detailed image formation model and a learning-based algorithm for 2D position estimation are disclosed. The disclosure includes several extensions of the imaging system to improve the accuracy of the 2D position estimates and to expand the effective field-of-view. The invention is useful for fast passive imaging of sparse light sources, such as streetlamps, headlights at night and LED-based motion capture, and structured light 3D scanning with line illumination and line sensing.

Abstract: A computer-implemented system and method for predicting male sex bovine offspring to result from a bovine embryo by processing video image data of the embryo. The method includes receiving image data derived from video of a target embryo taken at substantially real-time frame speed during an embryo observation period of time. The video contains recorded morphokinetic movement of the target embryo occurring during the embryo observation period of time. The movement is represented in the received image data and the received image data is processed using a model generated utilizing machine learning and correlated embryo outcome data.

Abstract: An example method to render an image includes obtaining two-dimensional image information of the image including a target and a scene and depth information associated with a first set of pixels and a second set of pixels of the image. The first set of pixels correspond to the target and the second set of pixels correspond to the scene. In response to depth information associated with a pixel of the image being in the predetermined range, the example method includes associating a first depth index with the pixel. Otherwise, the example method associates a second depth index with the pixel. The example method further includes calculating a weighted average picture level of the image based on grayscale values of pixels of the image, the first depth index and/or the second depth index and rendering the image based on the weighted average picture level.

Abstract: Computing devices, such as mobile computing devices, have access to one or more image sensors that can capture images with multiple subjects. Some of these subjects may be known to the user capturing an image with the image sensor. The user may prefer to have the captured image data be optimized around the known subjects. Low-power, fast-response machine learning logic can be configured to allow for the generation of a plurality of inference data. This inference data can be utilized along with other sensor data, such as a motion sensor, for the generation of one or more image sensor configuration changes that may be implemented to optimize the subsequent capture of image data. This cycle of image data analysis, image sensor optimization, and subsequent capture can continue multiple times until a threshold of optimization or time is met. The captured image data optimized around the known subjects is then stored.

Abstract: The present disclosure provides a system and method for image generation. The method may include obtaining a first image of a first modality representing a first region of a subject. The method may further include determining a second image of a second modality representing a second region of the subject based on the first image. The second region may include at least part of the first region of the subject. A slice direction of the first image may be the same as a slice direction of the second image. The method may further include generating a fused image by fusing the first image and the second image.

Abstract: A medical observation apparatus includes: an imaging device configured to capture an observation target to obtain a captured right eye medical image and a captured left eye medical image; and circuitry configured to: acquire positions of at least two points in the observation target, the positions being determined based on predetermined operation on the observation target; and cause the captured right eye medical image, the captured left eye medical image, and an annotation image, to be displayed on a display screen of a display device, the annotation image indicating a distance between two points at the acquired positions.

Abstract: Systems and methods for determining a disease state of image elements are disclosed herein. An example method may include providing quantitative and non-quantitative images, determining a correspondence map of the quantitative images to an atlas, and determining candidate elements of the quantitative images by comparing the elements of the quantitative images to atlas elements of the atlas. The example method may also include localizing the candidate elements in the non-quantitative images, classifying the candidate elements based on properties of the non-quantitative images, and determining a disease state of the candidate elements.

Abstract: The disclosed calibration method includes a calibration phantom positioned on an adjustable table on the surface of a mechanical couch, with the phantom's centre at an estimated location for the iso-centre of a radio therapy treatment apparatus. The calibration phantom is then irradiated using the apparatus, and the relative location of the center of the calibration phantom and the iso-centre of the apparatus is determined by analyzing images of the irradiation of the calibration phantom. The calibration phantom is then repositioned by the mechanical couch applying an offset corresponding to the determined relative location of the centre of the calibration phantom and the iso-centre of the apparatus to the calibration phantom. Images of the relocated calibration phantom are obtained, to which the offset has been applied, and the obtained images are processed to set the co-ordinate system of a stereoscopic camera system relative to the iso-centre of the apparatus.

Abstract: A two-dimensional image acquisition unit acquires a plurality of two-dimensional images generated from a three-dimensional image of a patient in a case where an observation target is viewed from a plurality of different viewpoints, and a surface data acquisition unit acquires surface data of each of a plurality of structures on the patient from the three-dimensional image. A composite image generation unit generates a composite image in which a composite target image generated from the surface data and the two-dimensional image are composed, and a display switching control unit receives an operation of displaying or non-displaying any of the structures and performs display by switching between the composite image of the composite target image and the two-dimensional image corresponding to the structure to be displayed and the two-dimensional image of the structure to be non-displayed.

Abstract: A computer-implemented system and method for predicting female sex bovine offspring to result from a bovine embryo by processing video image data of the embryo. The method includes receiving image data derived from video of a target embryo taken at substantially real-time frame speed during an embryo observation period of time. The video contains recorded morphokinetic movement of the target embryo occurring during the embryo observation period of time. The movement is represented in the received image data and the received image data is processed using a model generated utilizing machine learning and correlated embryo outcome data.

Abstract: Providing healthcare services based on the combination of data from electronic healthcare records (EHRs) and community patient data includes: retrieving EHR data from an EHR database for a patient; retrieving community patient data for the patient; and providing clinical decision support for a healthcare provider at a computing device of the healthcare provider by interjecting, into a clinical workflow that utilizes the retrieved EHR data, the retrieved community patient data such that the clinical workflow utilizes the retrieved EHR data and the retrieved community patient data without importing the retrieved community patient data into the EHR database, and providing results of the workflow to the healthcare provider in a user interface at the computing device. The EHR data joined with the community patient data is actionable without importing the community patient data into the EHR database.

Abstract: A curved compression element, such as a breast compression paddle, and imaging systems and methods for use with curved compression elements. A system may include a radiation source, a detector, and a curved compression element. Operations are performed that include receiving image data from the detector; accessing a correction map for the at least one compression paddle; correcting the image data based on the correction map to generate a corrected image data; and generating an image of the breast based on the corrected image data. The breast compression element generally has no sharp edges, but rather has smooth edges and transitions between surfaces. The breast compression paddle also includes a flexible material that spans a portion of a curved bottom surface of the breast compression paddle to define a gap. The flexible material may be a thin-film material such as a shrink wrap.

Abstract: An apparatus to facilitate processing of a sparse matrix for arbitrary graph data is disclosed. The apparatus includes a graphics processing unit having a data management unit (DMU) that includes a scheduler for scheduling matrix operations, an active logic for tracking active input operands, and a skip logic for tracking unimportant input operands to be skipped by the scheduler. Processing circuitry is coupled to the DMU. The processing circuitry comprises a plurality of processing elements including logic to read operands and a multiplication unit to multiply two or more operands for the arbitrary graph data.

Abstract: The present disclosure proposes a modeling method and apparatus for diagnosing an ophthalmic disease based on artificial intelligence, and a storage medium. The modeling method includes: establishing a data collection of ophthalmic images and a data collection of non-image ophthalmic disease diagnosis questionnaires; training a first neural network model by employing the data collection of the ophthalmic images to obtain a first classification model; training a second classification model by employing the data collection of non-image ophthalmic disease diagnosis questionnaires; and merging the first classification model and the second classification model to obtain a target classification network model, in which, a test result outputted by the target classification network model is used as a diagnosis result of the ophthalmic disease.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for processing fundus images using fundus image processing machine learning models. One of the methods includes obtaining a model input comprising one or more fundus images, each fundus image being an image of a fundus of an eye of a patient; processing the model input using a fundus image processing machine learning model, wherein the fundus image processing machine learning model is configured to process the model input comprising the one or more fundus image to generate a model output; and processing the model output to generate health analysis data.

Abstract: Methods and apparatuses for generating and displaying a model of a subject's teeth. Described herein are intraoral scanning methods and apparatuses for generating a three-dimensional model of a subject's intraoral region (e.g., teeth). These methods and apparatuses may be used for identifying and evaluating lesions, caries and cracks in the teeth.

Abstract: A multi-label heat map generating system is operable to receive a plurality of medical scans and a corresponding plurality of medical labels that each correspond to one of a set of abnormality classes. A computer vision model is generated by training on the medical scans and the medical labels. Probability matrix data, which includes a set of image patch probability values that each indicate a probability that a corresponding one of the set of abnormality classes is present in each of a set of image patches, is generated by performing an inference function that utilizes the computer vision model on a new medical scan. Preliminary heat map visualization data can be generated for transmission to a client device based on the probability matrix data. Heat map visualization data can be generated via a post-processing of the preliminary heat map visualization data to mitigate heat map artifacts.

Abstract: A first display controller displays a plurality of medical images in which a detection result of at least one abnormal part is added to at least one medical image, on a display. A second display controller displays a total number of detection results on the display. A third display controller displays reference information representing a reference state of the detection result on the display.

Abstract: Systems and methods for image-guided medical procedures use fluoroscopic 3D reconstructions to plan and navigate a percutaneously-inserted device such as a biopsy tool from an entry point to a target.

Abstract: The invention relates to a system for assisting in navigating a medical device (1) in a region of a patient body, such as a cardiac chamber. The system comprises a unit (5) for providing a three-dimensional model of the region and an ultrasound probe (2) for acquiring image signals of the region of the patient body. At least one an ultrasound sensor (6) is attached to the medical device (1) for sensing ultrasound signals emitted by the 5 ultrasound probe (2) and a tracking unit (7) determines a relative position of the at last one ultrasound sensor (6) with respect to the live images and/or the ultrasound probe (2) on the basis of the sensed ultrasound signals. Further, a mapping unit (8) maps the determined relative position of the at least one ultrasound sensor (6) onto the model to generate a visualization of region of the patient body.

Abstract: An assessment system is provided for vagus nerve stimulation therapy treatment for congestive heart failure in a subject. The assessment system includes a first interface configured to communicate with a device that delivers a stimulation signal to a vagus nerve of the subject, a second interface configured to capture heart electrical activity of the subject in response to the stimulation signal, and a processor and a non-transitory computer readable memory storing instructions that, when executed by the processor, cause the assessment system to determine and display heart rate dynamics and display a digital ECG signal in real-time in response to the stimulation signal.

Abstract: A system and method for guiding invasive medical devices relative to other medical devices is disclosed. An imaging device can generate images of the invasive medical device within a body. A trained model for the invasive medical device can be trained on annotated images of the invasive medical device with at least one of orientation and position information. An imaging computer system can apply the trained model to unannotated images of the invasive medical device to determine at least one of a current orientation and a current position of the invasive medical device relative to another medical device within the body. At least one of visual orientation information representing the current orientation of the invasive medical device relative to the other medical device and visual position information representing the current position of the invasive medical device relative to the other medical device within the body can be outputted.

Abstract: There is provided an information processing apparatus, including: an image obtaining unit configured to obtain a plurality of images of a fertile ovum captured in time series; a recognizing unit including a probability image generating unit configured to generate, for each image of the fertile ovum, a probability image, wherein each position in the probability image represents the probability that at least part of the fertile ovum is present at the corresponding position in the image of the fertile ovum; and a feature amount calculating unit configured to calculate time-series transformation of the fertile ovum from the probability images over the time series, and calculate a feature amount of the fertile ovum based on the transformation.

Abstract: A method of examining digestive tract images is provided. The method of examining digestive tract images include: obtaining a basic image taken by a photographing apparatus; obtaining a set H of pixels with Hue in the range of D1 in the basic image; obtaining a set S of pixels with Saturation in the range of D2 in the basic image; obtaining a set of pixels with Value in the range of D3 in the basic image, and recording it as an effective pixel range; selecting all pixel sets of the set H and the set S in the effective pixel range to form a detection graph block; examining whether the basic image is an unclean image according to the detection graph block. The present invention further provides a method of examining the cleanliness of the digestive tract, a computer device, a computer-readable storage medium thereof.

Abstract: A surgical navigation system includes a source of a patient anatomy data, wherein the patient anatomy data comprises a three-dimensional reconstruction of a segmented model comprising at least two sections representing parts of the anatomy. A surgical navigation image generator is configured to generate a surgical navigation image comprising the patient anatomy. A 3D display system is configured to show the surgical navigation image wherein the display of the patient anatomy is selectively configurable such that at least one section of the anatomy is displayed and at least one other section of the anatomy is not displayed.

Abstract: According to one embodiment, a diagnosis support apparatus includes processing circuitry. The processing circuitry executes identification processing by using medical information as an input to output a first identification result and a first identification reason for providing the first identification result. The processing circuitry modifies the identification processing to refrain from outputting the first identification reason in response to an instruction to reject the first identification reason. The processing circuitry executes the modified identification processing by using the medical information as an input to output a second identification result and a second identification reason for providing the second identification result.

Abstract: Apparatus for recording information concerning the use of an injection device, the apparatus comprising: one or more sensors for providing information indicative of how the injection device is used; a processor configured to analyse said information detected by the one or more sensors to determine use information, said use information corresponding to how the injection device is used; and a memory for storing said use information in an image format such that said use information can be retrieved from the memory and displayed in an image.