Abstract: To reduce streak-like artifacts more in a radiation tomographic image: There is provided an image producing apparatus comprising: a processing component configured to, in scan data acquired by a radiation CT scan, apply suppression processing with which noise components are suppressed to a high noise level portion having a radiation detection level lower than a specified threshold, and apply enhancement processing with which noise components are enhanced to a low noise level portion having a radiation detection level equal to or higher than the specified threshold; and a reconstructing component configured to reconstruct an image based on the scan data subjected to the processing by the processing component.

Abstract: The present disclosure is directed to an augmented reality surgical system for viewing an augmented image of a region of interest during a surgical procedure. The system includes an image capture device that captures an image of the region of interest. A controller receives the image and applies at least one image processing filter to the image. The image processing filter includes a spatial decomposition filter that decomposes the image into spatial frequency bands. A temporal filter is applied to the spatial frequency bands to generate temporally filtered bands. An adder adds each band spatial frequency band to a corresponding temporally filtered band to generate augmented bands. A reconstruction filter generates an augmented image by collapsing the augmented bands. A display displays the augmented image to a user.

Abstract: Display and navigation for multiple computer-aided detection (CAD) detections is described. A medical image is displayed to a viewer, and a request is received to instantiate CAD-assisted viewing. A timewise presentation sequence for the CAD detections is automatically computed according to a predetermined sequencing criterion. For each CAD detection, an expanded presentation window is displayed for its associated location in the medical image, the expanded presentation windows being displayed according to the timewise presentation sequence. Also described is a navigational tool comprising a plot of an operating curve onto which a computed feature associated with the CAD algorithm can be mapped, the operating curve characterizing an application of the CAD algorithm to a reference database of mammographic cases having known diagnoses.

Abstract: A used photoacoustic apparatus includes: a light source capable of individually emitting light having a first wavelength at which absorption coefficients of oxyhemoglobin and deoxyhemoglobin are equal and light having a second wavelength; an acoustic detector that receives acoustic waves generated when the light having the first and second wavelengths is absorbed by an object; an absorption coefficient distribution generator that determines absorption coefficient distributions of an object interior; a blood vessel position determining unit that determines a blood vessel position from an absorption coefficient distribution corresponding to the first wavelength; an organism characteristics distribution calculator that determines an organism characteristics distribution from the absorption coefficient distributions; and a trimming unit that trims the organism characteristics distribution in accordance with the blood vessel position.

Abstract: An apparatus for processing medical image data, includes a controller configured to select an image group including pieces of original image data according to a digital imaging and communication in medicine (DICOM) standard. The controller is also configured to generate hierarchy information regarding a hierarchy structure of the image group by analyzing each piece of the original image data included in the image group, generate common data information by extracting, from each piece of the original image data, common data elements regarding respective classes that form the hierarchy structure based on the hierarchy information, generate common information regarding the image group based on the hierarchy information and the common data information, and perform data processing on the image group based on the common information. The apparatus also includes a memory configured to store the common information including the hierarchy information and the common data information.

Abstract: System (100) for enabling an interactive inspection of a region of interest (122) in a medical image (102), the system comprising display means (160) for displaying user interface elements (310, 320, 330) of actions associated with the interactive inspection of the region of interest and a processor (180) for executing one of the actions when a user selects an associated one of the user interface elements, the system further comprising establishing means (120) for establishing the region of interest in the medical image, determining means (140) for determining an anatomical property (142) of the region of interest in dependence on an image property of the region of interest, and the display means (160) being arranged for (i), in dependence on the anatomical property, establishing a display configuration (162) of the user interface elements, and (ii) displaying the user interface elements in accordance with the display configuration.

Abstract: Methods and systems related to variation assessment of a first 3D object are provided. In some embodiments, a computer system obtains a first dataset and a second dataset. The first dataset represents data associated with a first evaluation of the first 3D object and the second dataset represents data associated with a second evaluation of the first 3D object. The computer system determines a first metric based on the first dataset and a second metric based on the second dataset. The first and second metrics represent distributions of probabilities with respect to values associated with the characteristic of the first 3D object at the first and second evaluations, respectively. The computer system further provides, based on the first metric and the second metric, an assessment of the first 3D object variation between the first evaluation and the second evaluation.

Abstract: A computer network system and a method are disclosed for accessing a dose image database for medical imaging using ionizing radiation via an imaging device. An embodiment includes a multiplicity of imaging devices connected via a network connection to the dose image database, each imaging device including a transmit unit to transmit the images captured by the imaging device to the dose image database. An allocation between an image or a class of images, a dose measurement value, an image quality measurement value and optionally further medical metadata are stored in the dose image database. A control unit is included to exchange date with the dose image database and to generate control variables automatically while accessing the dose image database depending on at least one selection parameter to be defined, the parameters being forwarded via a network connection to at least one imaging device to control the imaging.

Abstract: A navigation system for use in a luminal network of a patient, such as the airways, that is able to analyze a three-dimensional model of the luminal network and automatically determine a pathway from an entry point to a designated target. The system further automatically assigns waypoints along the determined pathway in order to assist a physician in navigating a probe to the designated target.

Abstract: Devices and approaches for monitoring time based photo active agent delivery or photo active marker presence in an eye. A monitoring system is provided for measuring the presence of a photo active marker by illuminating the eye so as to excite the photo-active marker and then observing characteristic emission from the photo active marker. Example systems incorporate Scheimpflug optical systems or slit lamp optical systems to observe cross sectional images of an eye to monitor instantaneous distribution, diffusion pattern, and rate of uptake of a photo active agent applied to an eye. Systems and methods further allow for utilizing the monitored distribution of photo active agent in the eye as feedback for a cross-linking system.

Abstract: Reconstructing 3-D vessel geometry of a vessel includes: receiving a plurality of 2-D rotational X-ray images of the vessel; extracting vessel centerline points for normal cross sections of each of the plurality of 2-D images; establishing a correspondence of the centerline points from a registration of the centerline points with a computed tomography (CT) 3-D centerline, the registration being an affine or deformable transformation; constructing a 3-D centerline vessel tree skeleton of the vessel from the centerline points of the 2-D images; constructing an initial 3-D vessel surface having a uniform radius normal to the 3-D centerline vessel tree skeleton; defining sample points based sampling on median radii to the 3-D centerline vessel tree skeleton of the initial 3-D vessel surface; and constructing a target 3-D vessel surface by deforming the initial vessel surface using the sample points to provide a reconstructed 3-D vessel geometry of the vessel.

Abstract: An example system includes a processor to train a convolutional neural network (CNN) to detect features, and train fully connected layers of the CNN to map detected features to semantic descriptors, based on a data set including one or more lesions. The processor is to also receive a medical image to be analyzed for lesions. The processor is to further extract feature maps from the medical image using the trained CNN. The processor is also to detect a region of interest via the trained CNN and generate a bounding box around the detected region of interest. The processor is to reduce a dimension of the region of interest based on the feature maps. The processor is to generate a semantic description of the region of interest via the trained fully connected layers.

Abstract: A method and an apparatus for diagnosing cardiac diseases based on a cardiac motion modeling are provided. The method may include applying physical characteristics of a cardiac motion to a 3D heart shape model, deriving a boundary condition by fusing the 3D heart shape model to which the physical characteristics are applied and a plurality of cardiac ultrasound images according to a temporal change, obtained to acquire a dynamic image, and diagnosing the cardiac diseases using a result of modeling that models the cardiac motion of the user using the boundary condition.

Abstract: A biological specimen observation apparatus whereby observation of a biological specimen can be performed accurately. In macro observation, a biological change region is extracted from a macro image, a micro observation point corresponding to an extracted biological change region is registered, and an object for tracking is identified. In micro observation, it is judged from the micro image whether or not biological change has continued in the biological change region at the micro observation point, and the registered micro observation point is updated on the basis of this judgment result. It is possible to carry out both macro observation for detecting a biological change region and micro observation for observing the progress of growth of a partial minute region where biological change has been exhibited, and to carry out accurate observation of a biological specimen.

Abstract: A scene is segmented into objects based on light field data for the scene, including based on image pixel values (e.g., intensity) and disparity map(s). In one aspect, the light field data is used to estimate one or more disparity maps for the scene taken from different viewpoints. The scene is then segmented into a plurality of regions that correspond to objects in the scene. Unlike other approaches, the regions can be variable-depth. In one approach, the regions are defined by boundaries. The boundaries are determined by varying the boundary to optimize an objective function for the region defined by the boundary. The objective function is based in part on a similarity function that measures a similarity of image pixel values for pixels within the boundary and also measures a similarity of disparities for pixels within the boundary.

Abstract: A similar case retrieval apparatus includes: a lesion portion acquirer that acquires partial images including lesion portion images, an image feature extractor that extracts image features of each of the plurality of partial images; a location information acquirer that acquires location information of each of the partial images; a lateral position determiner that determines the right organ or the left organ in which each of the lesion portions exists based on the location information; a unilateral distribution identifier that determines whether or not a distribution of the lesion portions is a unilateral distribution; and a similar case retriever that retrieves case data from a case database including both case data for the unilateral distribution in the right organ and case data for the unilateral distribution in the left organ when the unilateral distribution identifier identifies that the distribution of the lesion portions is the unilateral distribution.

Abstract: An OCT data processing device for processing OCT data of a subject eye includes: a processor; and memory storing computer readable program, when executed by the processor, causing the OCT data processing device to execute: acquiring OCT data from an OCT optical system; and analyzing the acquired OCT data to acquire arteriovenous information on the blood vessel based on image information on a blood vessel scan area including a blood vessel of the subject eye.

Abstract: Breast density is a significant breast cancer risk factor measured from mammograms. Disclosed is a methodology for converting continuous measurements of breast density and calibrated mammograms into a four-state ordinal variable approximating the BI-RADS ratings. In particular, the present disclosure is directed to a calibration system for a specific full field digital mammography (FFDM) technology. The calibration adjusts for the x-ray acquisition technique differences across mammograms resulting in standardized images. The approach produced various calibrated and validated measures of breast density, one of which assesses variation in the mammogram referred to as Vc (i.e. variation measured from calibrated mammograms). The variation in raw mammograms [i.e. Vr] is a valid breast density risk factor in both FFDM in digitized film mammograms.

Abstract: In the present invention are a method and apparatus for processing a block to be processed of a urine sediment image. The method comprises: dividing a block to be processed into a plurality of grids; calculating an n-dimensional local feature vector of each grid of the plurality of grids, where n is a positive integer; in the block to be processed, merging at least two adjacent grids of the plurality of grids into an intermediate block; calculating an intermediate block merging feature vector of the intermediate block; according to a predetermined combination rule, combining the intermediate block merging feature vectors obtained for different intermediate blocks of the block to be processed into a general combination feature vector of the block to be processed; and by way of taking the general combination feature vector as a feature in a feature set of block processing, processing the block to be processed.

Abstract: A triangulation device for computing a three-dimensional position of a measurement target point using a stereo method, the triangulation device includes: optimum image coordinate estimation unit configured to, based on coordinates of corresponding points corresponding to the measurement target point in two images each of which including an image of the measurement target point, and intrinsic parameters and extrinsic parameters of optical instruments generating the two images, calculate correction vectors by which coordinates of the corrected corresponding points satisfy an epipolar equation composed of the intrinsic parameters and the extrinsic parameters, using a characteristic polynomial including a correction amount of coordinates of the corresponding points or a reciprocal of the correction amount as a variable, and compute coordinates of the corrected corresponding points based on calculated correction vectors; and three-dimensional coordinate calculation unit configured to calculate three-dimensional co

Abstract: A medical image processing apparatus comprises a memory configured to store medical image data representative of a tissue structure and a processing circuitry configured to operationally connect to the memory, extract regions from the medical image data by performing threshold processing of the medical image data using each of a plurality of threshold values, select regions meeting at least one predetermined condition from among the extracted regions, and determine a region representative of the tissue structure in the medical image data based on the selected regions.

Abstract: A system is disclosed by which medical imaging exams may be matched and/or registered so as to reduce and/or substantially eliminate artifactual differences between 2D images of the exams. The system may automatically create new, matching 2D images such that two or more exams may be accurately and efficiently compared by a reading physician. The new, matching 2D images may be generated by automated 3D registration of the exams and/or multiplanar reformation of 3D volumetric data acquired during acquisition of one or both exams (e.g., during imaging scans). Rules may be used to automatically determine exams to be compared, and which exams to match to another. Additionally, the system may automatically add indications to a later acquired image that indicate a corresponding earlier acquired image includes annotations. Additionally, the system may allow the physician to easily add and modify similar annotations to the later acquired image by selection of the indications.

Abstract: Methods, apparatus, and other embodiments associated with predicting Crohn's Disease (CD) patient response to immunosuppressive (IS) therapy using radiomic features extracted from diagnostic magnetic resonance enterography (MRE). One example apparatus includes an image acquisition circuit that acquires an MRE image of a region of tissue demonstrating CD pathology, a segmentation circuit that segments a region of interest (ROI) from the diagnostic radiological image, a classification circuit that extracts a set of discriminative features from the ROI and that distinguishes the ROI as a responder or non-responder to IS therapy, and a CD prediction circuit that generates a radiomic enterographic (RET) score based on the diagnostic radiological image or the set of discriminative features. A prognosis or treatment plan may be provided based on the RET score.

Abstract: A method for identifying target regions in a tissue for local drug delivery, where functional and/or structural anatomical data such as edema and/or resection cavity is captured by an imaging system, and where the anatomical data is evaluated by segmentation techniques such as region-growing-based methods with computer assistance to determine a margin around a resection cavity and/or the volume of edema, the margin and/or the volume of edema being the target tissue for local drug delivery.

Abstract: Systems and methods are described for providing interactive issue creation and management for use in project management processes. The system provides users with mechanisms for creating fully-featured, easy-to-identify, and highly legible issues, with a visual mechanism for communicating issue information between the parties involved in the project management process, thereby resulting in improved tracking to ensure issues are appropriately addressed and timely resolved, saving time and money.

Abstract: A method for evaluating skin tissue includes: obtaining a tomographic image of skin; performing a quantization process for quantizing brightness values of the tomographic image of skin to generate a quantized image; performing a binarization process on the brightness value of each image point in the quantized image according to a first threshold interval to generate a first filtered image; performing the binarization process on the brightness value of each image point in the quantized image according to a second threshold interval to generate a second filtered image; obtaining a first estimated tissue boundary according to the distribution of the bright spots in the first filtered image; obtaining a second estimated tissue boundary according to the distribution of the bright spots in the second filtered image; estimating a thickness of skin tissue according to a difference between the first and second estimated tissue boundaries.

Abstract: Disclosed herein are methods and systems for segmenting, visualizing, and quantifying the layered structure of retina in optical coherence tomography datasets. The disclosed methods have particular application to OCT angiography data, where specific retina layers have distinct vascular structures and characteristics that can be altered in various pathological conditions of the eye.

Abstract: During an intraoral scan session, a processing device receives a first intraoral image of a dental site and identifies a candidate intraoral area of interest from the first intraoral image. The processing device receives a second intraoral image of the dental site and verifies the first candidate intraoral area of interest as an intraoral area of interest based on comparison of the second intraoral image to the first intraoral image. The processing device then provides an indication of the intraoral area of interest during the intraoral scan session.

Abstract: Methods are herein provided for decision support in diagnosis of a disease in a subject, and for extracting features from a multi-slice data set. Systems for computer-aided diagnosis are provided. The systems take as input a plurality of medical data and produces as output a diagnosis based upon this data. The inputs may consist of a combination of image data and clinical data. Diagnosis is performed through feature selection and the use of one or more classifier algorithms.

Abstract: According to one embodiment, the ultrasonic diagnosis apparatus includes a storing unit and processing circuitry. The storing unit is configured to store a plurality of images usable as a reference image to be referred to at the time of scanning, the plurality of images includes images corresponding to a plurality of cross sections. The processing circuitry is configured to read, when a cross section that needs to be scanned is switched in accordance with a workflow, from the storing unit one or more images registered for each of the plurality of cross sections in advance, the workflow defining a flow of procedures including scanning the plurality of cross sections. The processing circuitry is configured to display the read image as the reference image on a display.

Abstract: Position coordinate information of each point three-dimensionally forming a tissue corresponding to a diagnosis target at each time phase is obtained, a quantitative value for evaluating the movement of the tissue corresponding to the diagnosis target is calculated by using the position information, and the result is output in a predetermined form. Accordingly, since the quantitative value for evaluating the movement is calculated by using the three-dimensional position coordinate information without converting wall movement information obtained by a three-dimensional tracking process into two-dimensional information, it is possible to provide medical information with a higher degree of precision.

Abstract: An image inspection apparatus includes: a storage that stores output image data used in forming an image on a paper sheet; a conveyor that conveys the paper sheet; a reader that reads the image during conveyance, and generates read image data; a determiner that compares pixels in the read image data with corresponding pixels in the output image data, and determines whether the read image data matches the output image data; a circulator that circulates the paper sheet, and returns the paper sheet to the reader; and a controller that controls the circulator to circulate the paper sheet and return the paper sheet to the reader when a mismatch is detected by the determiner, wherein the reader generates circulated read image data when the paper sheet is circulated and conveyed, and the determiner determines whether the image is normal or abnormal depending on the result of comparison.

Abstract: Systems and Techniques for real-time 3D reconstruction of the human body are described. Avatars (the rendered 3D reconstruction of the human body) can be generated from real-time captured RGB-D images of a person. Avatars can be synthesized from the RGB-D data received from a single RGB-D camera by performing body segmentation (into cylindrical-type objects) and dynamic robust data filtering on sequential frames of the captured data. Cylindrical-type objects of the body, including arms, legs, and torso are parameterized using tensor splines; and positive-definite constrains are imposed to the estimated tensor splines using a Riemannian metric defined on the space of positive-definite tensor splines. These generated avatars have an articulated body with separately translatable and rotatable arms, legs, and other limbs or cylindrical features.

Abstract: In hemodynamic determination in medical imaging, the classifier is trained from synthetic data rather than relying on training data from other patients. A computer model (in silico) may be perturbed in many different ways to generate many different examples. The flow is calculated for each resulting example. A bench model (in vitro) may similarly be altered in many different ways. The flow is measured for each resulting example. The machine-learnt classifier uses features from medical scan data for a particular patient to estimate the blood flow based on mapping of features to flow learned from the synthetic data. Perturbations or alterations may account for therapy so that the machine-trained classifier may estimate the results of therapeutically altering a patient-specific input feature. Uncertainty may be handled by training the classifier to predict a distribution of possibilities given uncertain input distribution.

Abstract: Provided is a flow cell for nucleic acid analysis used for a sequence reaction with photocleavable nucleotides where an efficiency of the photocleaving reaction can be enhanced and noise upon florescence detection can be mitigated, thereby improving the accuracy of sequencing, shortening a runtime, and extending a read length. The flow cell for nucleic acid analysis includes a first substrate 101 provided with an optical filter 102 reflecting first light for changing a chemical structure of a substance in a flow passage, a hollow sheet 103 having a hollow portion for forming the flow passage, and a second substrate 105 transmitting the first light, in which the first substrate, the hollow sheet, and the second substrate are attached to each other.

Abstract: An apparatus and method for performing image segmentation. The method includes the steps of filtering an X-ray image of a jaw of a patient to reduce noise. Each image pixel is clustered into one of a lesion region and a background region. Further, the method transforms each pixel included in the clustered image into a neutrosophic domain determined by computing a three-tuple including a first probability corresponding to the pixel being correctly clustered in the lesion region, a second probability corresponding to the pixel being incorrectly clustered, and a third probability corresponding to the pixel being indeterminate, and iteratively computes the first probability, the second probability, and the third probability based on a mean value of pixel intensity of a predetermined window and a homogeneity value. The image is segmented by assigning the indeterminate pixels the lesion region or the background region based on a degree of pixel indeterminacy.

Abstract: A patient identification method and related system use dynamic medical images of a patient, such as dynamic chest x-ray images, to generate pulsation and/or perfusion signals and use them for patient identification. A first pulsation and/or perfusion signal acquired from a current patient is compared to a previously stored second pulsation and/or perfusion signal associated with a known patient, to determine whether the current patient is the same as the known patient. At least one of the first and second pulsation and/or perfusion signals is generated from dynamic medical images. In some embodiments, one of the first and second pulsation and/or perfusion signals is pulsation-like signal obtained from electrocardiogram (ECG). When the current patient is determined to be different from the known patient, warning signals can be generated, and further steps can be taken to prevent medical procedures being conducted on the wrong patient.

Abstract: Provided in the present invention are a method and apparatus for processing a block to be processed of a urine sediment image. The method comprises: calculating a variable number of local feature vectors of a block to be processed, wherein the local feature vector is a vector representing a feature of a local location of the block to be processed; classifying the variable number of local feature vectors into a fixed number of clusters so as to obtain a statistical histogram vector of the fixed number of clusters of the block to be processed, wherein the statistical histogram vector reflects the statistical distribution of the variable number of local feature vectors in the fixed number of clusters; and taking the statistical histogram vector as a feature in a feature set of block processing and processing the block to be processed.

Abstract: Computerized methods and systems for estimating a dual-energy X-ray absorptiometry (DEXA) score from CT imaging data by receiving imaging data of a computed tomography (CT) scan of a body of a patient containing at least a bone portion, segmenting the bone portion from the imaging data, computing at least one grade based on pixel associated values from the bone portion, and correlating the at least one grade with at least one score representing a relation to bone density values in a population obtained based on a DEXA scan. The grade is computed from a calculation of sub-grades performed for each one or a set of pixels having at least one of a common medial-lateral axial coordinate and a common cranial-caudal axial coordinate along a dorsal-ventral axis of a volume representation of the imaging data.

Abstract: The present disclosure provides a system and method for simulating a land mobile radio system having a plurality of radio sites. The simulation system may comprise an IP network providing an IP-based interface between components within the system such as, for example, a first server designed to simulate one or more radio sites, a second server designed to simulate one or more subscriber units, and a controller interface for providing commands for controlling the simulated subscriber units. Each site in the first server may include one or more site applications each associated with an IP address, and each subscriber unit in the second server is associated with a plurality of IP addresses for communicating with the site applications over the IP network.

Abstract: A radiation imaging system includes: an imaging unit configured to transfer a radiation image generated based on received radiation; and a control unit configured to determine, based on a transfer status of the radiation image, whether to continue or interrupt to transfer the radiation image.

Abstract: A pseudo CT Hounsfield Unit value for a volume element within a subject is estimated from a plurality of magnetic resonance images having different contrasts. The method includes determining a relative prevalence of a first tissue class and second tissue class within the volume element from a first magnetic resonance image and a second magnetic resonance image, respectively. Then a relative prevalence of a third tissue class is determined within the volume element based on substraction of a relative prevalence of the first and/or second tissue class from a total tissue prevalence. A reference Hounsfield Unit value is provided for the first, second and third tissue class. Finally, a pseudo Housfield value is estimated for the volume element by determining a weighted sum of the first, second and third reference Hounsfield unit value, with weight factors which are based on the determined relative prevalences of the first, second and third tissue class.

Abstract: A method and an apparatus are provided for building a subject-specific statistical model of shape variation for an anatomical structure using a set of geometric representations of shape for the anatomical structure. Each representation is associated with one of multiple subjects, each subject having a respective subset of associated representations, and each subset comprising multiple representations including a reference representation. The multiple representations correspond to different shapes of the anatomical structure arising from physical motion and/or deformation thereof. The method comprises specifying a set of shape parameters whose values, for any given representation, characterize the shape of the representation, and for each subject, representing a probability distribution of the values of the shape parameters across the subset of representations associated with that subject by a set of subject-specific distribution parameters.

Abstract: Using multiple imaging modes in whole slide image screening is potentially useful to reduce false positives. To use multiple imaging modes, a method for locating anomalies on a medical sample from an image thereof uses an anomaly-detection process that comprises using plural base classifiers individually to classify an object-of-interest suspected to be an anomaly. Each base classifier respectively extracts features of the object-of-interest and generates, according to the extracted features, a score indicating a likelihood of the object-of-interest being anomalous. The anomaly-detection process further comprises using an aggregate classifier to combine the scores generated by the base classifiers to determine whether the object-of-interest is the anomaly.

Abstract: A method and apparatus for data processing. The present invention provides a data processing apparatus that includes: a series acquisition section for acquiring a data series in which multiple pieces of data are arranged; a fragmentation section for fragmenting the data series to obtain multiple partial data series; a pattern extraction section for extracting multiple patterns of one or more pieces of data appearing in at least one of the multiple partial data series; and a generation section for generating a feature vector having element values, which vary according to whether to include each of the multiple patterns, for each of the multiple partial data series, respectively. There is also provided a method for data processing. The present invention allows for the generation of a feature vector from time-series data indicating a phenomenon the occurrence time of which is temporally irregular to detect features.

Abstract: The subject disclosure presents systems and computer-implemented methods for automatic immune cell detection that is of assistance in clinical immune profile studies. The automatic immune cell detection method involves retrieving a plurality of image channels from a multi-channel image such as an RGB image or biologically meaningful unmixed image. A cell detector is trained to identify the immune cells by a convolutional neural network in one or multiple image channels. Further, the automatic immune cell detection algorithm involves utilizing a non-maximum suppression algorithm to obtain the immune cell coordinates from a probability map of immune cell presence possibility generated from the convolutional neural network classifier.

Abstract: Concepts and technologies are disclosed herein for detecting body language via bone conduction. According to one aspect, a device can detect body language of a user. The device can generate a signal and send the signal to a sensor network connected to a user. The device can receive a modified signal from the sensor network and compare the modified signal to a body language reference model. The device can determine the body language of the user based upon comparing the modified signal to the body language reference model.

Abstract: An image processing apparatus and related method. The apparatus (PP) comprises an input port (IN), a classifier (CLS) and an output port (OUT). The input port is capable of receiving an image of an object acquired at a field of view (FoV) by an imager (USP). The image records a pose of the object corresponding to the imager's field of view (FoV). The classifier (CLA) is configured to use a geometric model of the object to determine, from a collection of pre-defined candidate poses, the pose of the object as recorded in the image. The output port (OUT) is configured to output pose parameters descriptive of the determined pose.

Abstract: An apparatus for detecting an error in a contour of a lesion includes an extracting unit configured to extract a contour of a lesion in each of a plurality of two-dimensional image frames that form a three-dimensional image, and an error determining unit configured to determine a presence or an absence of an error in a contour of a lesion in a target image frame of the two-dimensional image frames based on estimation information about the lesion in the target image frame and/or an energy value that corresponds to the contour of the lesion in the target image frame.

Abstract: An apparatus for generating corrected X-ray projection data from target X-ray projection data obtained by performing an X-ray scan with a detector having an anti-scatter grid, and a method for creating a lookup table and generating corrected X-ray projection data. The apparatus includes a detector configured to detect incident X-rays, an anti-scatter grid configured to suppress scattered radiation incident on the detector, and an X-ray source configured to irradiate the target with X-rays. Processing circuitry is configured to cause the X-ray source to scan, using a peak kilovoltage (kVp), the target to produce the target projection data, determine a patient-to-detector distance (PDD) and an area irradiated (FS), transform the target projection data into a spatial frequency domain, determine scatter values by accessing the lookup table using the kVp, PDD, and FS values, and subtract the scatter values from the frequency components to obtain the corrected X-ray projection data.