Abstract: An image processing apparatus includes: a dark correction unit configured to obtain a dark corrected image by removing a dark image obtained in a state without radiation irradiation from an object image obtained by radiation irradiation; an addition value obtaining unit configured to analyze pixel values included in a plurality of dark corrected images and, based on an analysis result of the pixel values including a negative pixel value, obtain an addition value used to correct the negative pixel value; and an adding unit configured to add the addition value to the pixel values of the dark corrected image.

Abstract: Embodiments relate to associating coronary angiography image annotations with SYNTAX score for assessment of coronary artery disease. Aspects include receiving and processing a plurality of angiogram videos from a coronary angiography study into a plurality of frames, selecting and displaying a key frame from the plurality of frames for each angiogram video in a browsing interface, and receiving a selection of one of the key frame from a user. Aspects further include displaying the angiogram video associated with the selected key frame in a video viewer interface, receiving a lesion annotation from the user for a frame of the angiogram video, and displaying a SYNTAX score questionnaire in the video viewer interface. Aspects further include annotating the frame of the angiogram video with the answers to the SYNTAX score questionnaire from the user and saving the answers to the SYNTAX score questionnaire with the annotated frame in a database.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for processing cell images using neural networks. One of the methods includes obtaining data comprising an input image of one or more biological cells illuminated with an optical microscopy technique; processing the data using a stained cell neural network; and processing the one or more stained cell images using a cell characteristic neural network, wherein the cell characteristic neural network has been configured through training to receive the one or more stained cell images and to process the one or more stained cell images to generate a cell characteristic output that characterizes features of the biological cells that are stained in the one or more stained cell images.

Abstract: A surgical microscope comprises microscopy optics, a camera, a display system and a controller comprising a data memory storing object data of at least one surgical tool. The microscopy optics are variable optics for changing an imaging scale of an imaging of a field of view onto the camera. The controller is configured to process the camera images and to identify the at least one tool in the camera images by object recognition using the object data of the at least one tool and the set imaging scale.

Abstract: A patient monitor system (10) includes a signal processor (30) which analyzes signals from physiological parameter sensors (20) to derive physiological data values, plots, and alarms. A display (12) displays physiological values and plots (42). An advisor engine, routine, or processor (34) is connected with the signal processor to analyze at least alarm occurrences, also in combination with user interactions, and provide directly actionable advice for reducing alarm frequency which is displayed unobtrusively on the display. The directly actionable advice includes specific actions or adjustments which are specific to a current patient, a present situation, or a present mode or setting of the patient monitor system. The unobtrusively displayed directly actionable advice is displayed without the use requesting it.

Abstract: In a clinical environment, where multiple patients reside at any given time, central patient monitoring stations (10), such as nurses stations exist to consolidate information gathered concerning physiological parameters of the patients. The data is displayed in several panes (22) of a display (18) of the monitoring station (10). Due to certain size limitations of the display (18), it is often difficult to discern the data displayed on the panes (22), or to even display all of the data that is being gathered. A user can enlarge any given pane (22) into a zoomed pane (32) that offers greater functionality of any other pane (22), without completely obscuring, or adjusting the size of any other pane (22).

Abstract: Systems, devices, and methods are presented for segmenting an image of a video stream with a client device by accessing a set of images within a video stream, identifying an object of interest within one or more images of the set of images, and detecting a region of interest within the one or more images. The systems, devices, and method identify a first set of median pixels in a first portion of the object of interest and a second set of median pixels in a second portion of the object of interest. The systems, devices, and methods determine a polyline approximating the first and second sets of median pixels and generate a model for the polyline.

Abstract: In an X-ray computed-tomography apparatus of an embodiment, a reconstruction processing unit reconstructs image data based on projection data that is generated from output of an X-ray detector. A specifying unit specifies a scan position or a scan range for main scanning. A changing unit identifies characteristic points based on a structure inside the subject from image data, and changes the scan position or the scan range specified by the specifying unit based on a result of checking data relating to the characteristic points and data relating to corresponding anatomical characteristic points in a virtual subject against each other.

Abstract: A non-touch thermometer to measure a temperature that includes a microprocessor, a wireless communication subsystem that is operably coupled to the microprocessor and that is operable to transmit a representation of the temperature, a battery operably coupled to the microprocessor, a single button operably coupled to the microprocessor, a digital infrared sensor operably coupled to the microprocessor with no analog-to-digital converter operably coupled between the digital infrared sensor and the microprocessor, the digital infrared sensor having only digital readout ports, and a display device operably coupled to the microprocessor, wherein the microprocessor is operable to receive from the digital readout ports a digital signal that is representative of an infrared signal detected by the digital infrared sensor and the microprocessor is operable to determine the temperature from the digital signal that is representative of the infrared signal, wherein the non-touch thermometer does not support specific disco

Abstract: A monitoring support apparatus which supports a monitoring system using a comparison method for real time and archived film and/or photographs. It relates to image capturing devices and, particularly, to an image capturing device which can automatically compare photographs and/or film and compare the differences in a selected time or an archive to a present situation. This relates to systems for video viewing/monitoring films or photographs and determining what changes have occurred. The process comprises: a general Flicker Process: Step 1: Establish Photograph/Film baseline; Step 2: Select comparison Photograph/Film Future or Past; Step 3: Time Lapse between the baseline and a comparison frame; Step 4: Contrast Base and Comparison Selected Computer App/Streaming/etc.; Step 5: Flash/Color/Highlight/“Box-In”/Ghost etc. differences; Step 6: Record/Save Contrasted Comparison; and Step 7: Take Action: Report, Respond, Call Authorities, or other.

Abstract: A fast object detection method based on deformable part model (DPM) is provided. The method includes importing a trained classifier for object detection, receiving an image frame from a plurality of frames in a video captured by a camera, and identifying regions possibly containing at least one object via objectness measure based on Binarized Normed Gradients (BING). The method also includes calculating Histogram of Oriented Gradients (HOG) feature pyramid of the image frame, performing DPM detection for the identified regions possibly containing the at least one object, and labeling the at least one detected object using at least one rectangle box via non-maximum suppression (NMS). Further, the method includes processing a next frame from the plurality of frames in the captured video until the video ends and outputting object detection results.

Abstract: A swallowing simulation apparatus comprises a computer that stores swallowing simulation software that when executed results in an oral cavity model and a pseudo-food product which are analyzed in a swallowing simulation. The analysis is used to evaluate ease of eating and/or drinking.

Abstract: An apparatus for processing medical images includes a storage unit storing fingerprints that respectively correspond to a plurality of functions, a user input unit detecting a fingerprint of a user, and a controller performing a function corresponding to the detected fingerprint, from among the functions.

Abstract: An image registration method includes acquiring first image data for a target object that includes first coordinate information; acquiring second image data for the target object that includes second coordinate information, by using a probe; and registering the first image data with the second image data, using the first coordinate information and the second coordinate information. According to the image registration method, image registration between a plurality of pieces of volume data adjusted so that their coordinate axes correspond to each other is performed, whereby a high-quality registered image may be quickly and simply obtained.

Abstract: The present invention relates to a decision support system and an image analysis method for providing information for enabling determination of a phenotype of a neoplasm in a human or animal body for enabling prognostication, comprising the steps of: receiving, by a processing unit, image data of the neoplasm; and deriving, by the processing unit, a plurality of image feature parameter values from the image data, said image parameter values relating to image features associated with the neoplasm; and deriving, by said processing unit using a signature model, one or more neoplasm signature model values associated with the neoplasm from said image feature parameter values, wherein said signature model includes a functional relation between or characteristic values of said image feature parameter values for deriving said neoplasm signature model values.

Abstract: A radiographic imaging control method includes combining a plurality of images by applying a first weight to the plurality of images, displaying a composite image, acquired by combining the plurality of images, newly receiving a second weight with respect to the composite image, recombining the plurality of images based on the received second weight, and displaying a recombined image, acquired by recombining the plurality of images.

Abstract: Methods, systems and circuits evaluate a subject's risk of developing type 2 diabetes or having prediabetes using at least one defined mathematical model of risk of progression that can stratify risk for patients having the same glucose measurement. The model may include NMR derived measurements of GlycA and a plurality of selected lipoprotein components of at least one biosample of the subject.

Abstract: Object detection uses a deep or multiple layer network to learn features for detecting the object in the image. Multiple features from different layers are aggregated to train a classifier for the object. In addition or as an alternative to feature aggregation from different layers, an initial layer may have separate learnt nodes for different regions of the image to reduce the number of free parameters. The object detection is learned or a learned object detector is applied.

Abstract: A method and system for automatic coronary stenosis detection in computed tomography (CT) data is disclosed. Coronary artery centerlines are obtained in an input cardiac CT volume. A trained classifier, such as a probabilistic boosting tree (PBT) classifier, is used to detect stenosis regions along the centerlines in the input cardiac CT volume. The classifier classifies each of the control points that define the coronary artery centerlines as a stenosis point or a non-stenosis point.

Abstract: The invention relates to a medical data processing method for determining a vulnerability field of a brain of a patient, the steps of the method being constituted to be executed by a computer and comprising: a) acquiring a nerve-indicating dataset comprising information about the brain of the patient suitable for identifying neural fibers in the brain of the patient; b) determining nodes within the brain preferably being neuron-rich grey matter parts of the brain; c) determining the axonal linkage of the nodes based on the nerve-indicating dataset to obtain edges connecting the nodes, the nodes and edges constituting a connectivity graph; d) determining a weight for each of the edges depending on centrality graph theoretical statistical measure of the respective edge in the connectivity graph; e) determining, for each of the edges, which voxels in a dataset of the brain of the patient belong to the edges or are passed by the edges and assigning or adding the determined weight of the respective edges to all of

Abstract: A method and system for tracking blood flow within a vessel of a patient are presented. At least one or more medical images of the patient are acquired showing at least one vessel of the patient. A user marks a proximal point and a distal point on a vessel of interest on the medical images. The vessel of interest is tracked and corrections are made to the tracking using a tracking algorithm. A composite image is generated that encodes time to peak contrast agent intensity at each point of the vessel of interest as well as the intensity of the contrast at that time. A graph of time to peak contrast agent intensity versus distance from a proximal point of the vessel of interest is calculated and displayed to a user.

Abstract: After selecting two or more image series for comparison, images of the image series are interleaved so that they are alternatively displayed in a comparison pane on a display device. In one embodiment, after one or more image series are selected for comparison, an interleaved image series is created containing each of the images of the one or more selected image series, or, alternatively, the interleaved image series comprises links to the images arranged in the interleaved pattern. If differences exist in the images of the multiple image series, these differences may be more easily detectable as the display device cycles between the images. Comparison of images in an interleaved image series may be more advantageous if the images of each selected image series are of a common anatomical area, common image size, and the images are in the same order.

Abstract: The described invention provides systems and methods for detecting and segmenting a lesion from longitudinal, time series, or multi-parametric imaging by utilizing spectral embedding-based active contour (SEAC). In addition, the described invention further provides systems and methods for registering time series data by utilizing reduced-dimension eigenvectors derived from spectral embedding (SE) of feature scenes (SERg).

Abstract: A system and a method are disclosed that allow for generation of a model or reconstruction of a model of a subject based upon acquired image data. The image data can be acquired in a substantially mobile system that can be moved relative to a subject to allow for image acquisition from a plurality of orientations relative to the subject. The plurality of orientations can include a first and final orientation and a predetermined path along which an image data collector or detector can move to acquire an appropriate image data set to allow for the model of construction.

Abstract: The invention relates to a method for analyzing a multidimensional cardiac image set, the multidimensional cardiac image set comprising: a first image set of a heart; and a second image set of a heart, wherein the first image set is segmented resulting into respective first cardiac contours for each image within the first image set; and the second image set is segmented resulting into respective second cardiac contours for each image within the second image set, the method comprising: determining resulting cardiac contours for each image within the first image set and for each image within the second image set from the first cardiac contours and the second cardiac contours.

Abstract: A method for providing a spatial anatomical model of a body part with the aid of at least one imaging examination modality is provided. At least one digital representation of the at least partial body part is provided to a control device by the at least one imaging examination modality. Based on the at least one digital representation, the control device determines a digital model and transmits the digital model to an output device. The output device determines the spatial model and outputs the spatial model as a hologram or workpiece. The spatial model is determined as a function of at least one specifying control parameter that describes a relevant portion of the spatial model and/or a mode of representation of the spatial model and/or of the portion. The control parameter is determined based on an operator control action executed by a user and received by an operator control device.

Abstract: A system and method for developing customized apparatus for use in one or more surgical procedures is disclosed. The system and method incorporates a patient's unique anatomical features or morphology, which may be derived from capturing MRI data or CT data, to fabricate at least one custom apparatus. According to a preferred embodiment, the customized apparatus comprises a plurality of complementary surfaces based on a plurality of data points from the MRI or CT data. Thus, each apparatus may be matched in duplicate and oriented around the patient's own anatomy, and may further provide any desired axial alignments or insertional trajectories. In an alternate embodiment, the apparatus may further be aligned and/or matched with at least one other apparatus used during the surgical procedure.

Abstract: Various methods and systems are provided for correcting contrast banding artifacts across multiple acquisitions in reconstructed images. In one embodiment, a method for computed tomography imaging comprises generating an original image comprising multiple subvolumes, segmenting the original image into different structures for each subvolume, selectively applying a mask-based correction through each area of subvolume that includes continuous structures to generate an updated image, and performing streak correction between the original image and the updated image to generate a final image. In this way, image quality may be improved without adjusting anatomical structures in an image.

Abstract: Example methods disclosed herein to perform inventory display auditing include comparing a reference image of an inventory display obtained during a prior audit of the inventory display with a current image captured by a camera to determine whether the current image corresponds to the same inventory display as the reference image. Disclosed example methods also include, when the current image is determined to correspond to the same inventory display as the reference image, identifying a difference region in the current image corresponding to a portion of the inventory display that changed relative to the prior audit. Disclosed example methods further include, while the current image is displayed on a display screen, modifying a characteristic of the current image in the difference region to indicate a change in product inventory in the portion of the inventory display.

Abstract: A cytological analysis test for 3D cell classification from a specimen. The method includes isolating and preserving a cell from the specimen and enriching the cell before embedding the enriched cell into an optical medium. The embedded cell is injected into a capillary tube where pressure is applied until the cell appears in a field of view of a pseudo-projection viewing subsystem to acquire a pseudo-projection image. The capillary tube rotates about a tube axis to provide a set of pseudo-projection images for each embedded cell which are reconstructed to produce a set of 3D cell reconstructions. Reference cells are classified and enumerated and a second cell classifier detects target cells. An adequacy classifier compares the number of reference cells against a threshold value of enumerated reference cells to determine specimen adequacy.

Abstract: A medical image processing apparatus according to an embodiment includes a detection unit, a generating unit, and an associating unit. The detection unit analyzes a first piece and a second piece of image data of a breast, and detects the positions of a chest wall and a nipple in each of the pieces of image data, wherein the first piece of image data is three-dimensional medical image data and the second piece of image data is medical image data of a different type from the first piece of image data. The generating unit generates a first sectional image and a second sectional image based on the first piece and second piece of image data, respectively. The associating unit associates the positional relation of the breast in the pieces of image data so that the positions of the chest wall and the nipple match between the pieces of image data.

Abstract: An image data storing device includes: an image data obtaining unit that obtains image data; a storing unit that stores the image data obtained by the image data obtaining unit into any one of plural storage regions, to each of which a name is assigned; a reception unit that receives the name of the storage region in which the image data is stored from external equipment, the name being obtained by the external equipment that takes the image data from the storage region, and the name being set by a user; and a memory that stores the name received by the reception unit in association with the storage region.

Abstract: A detection apparatus for detecting the position of a boundary between a first part and a second part of a subject, includes a pixel extraction unit for extracting a plurality of candidate pixels acting as candidates for a pixel situated on the boundary on the basis of image data of a first section crossing the first part and the second part, and a pixel specification unit for specifying the pixel situated on the boundary from within the plurality of candidate pixels by using an identifier which has been prepared by using an algorithm of machine learning.

Abstract: A system and method for localization and resolvability of an integrated circuit includes selecting one or more electrical stimuli to be applied to a device under test such that the electrical stimuli are chosen to provide a baseline image and a distinguishing image effect as a result of the chosen stimuli when applied to the device under test. The one or more electrical stimuli are applied to the device under test. Emissions from the device under test are measured to provide a measurement data set from the one or more electrical stimuli using one or more measurement tools for collecting the baseline image and the distinguishing image effect. The measurement data set is analyzed to localize and evaluate circuit structures by comparing the baseline image and the distinguishing image effect.

Abstract: The present disclosure is directed to an electrosurgical generator including a resonant inverter having an H-bridge and a tank. A sensor array measures at least one property of the tank. A pulse width modulation (PWM) controller outputs a first PWM timing signal and a second PWM timing signal to the H-bridge. The PWM controller controls a dead-time between the first PWM timing signal and the second PWM timing signal based on the at least one property measured by the sensor array.

Abstract: A medical imaging system (5) includes a workstation (20), a coarse segmenter (30), a fine segmenter (32), and an enclosed tissue identification module (34). The workstation (20) includes at least one input device (22) for receiving a selected location as a seed in a first contrasted tissue type and a display device (26) which displays a diagnostic image delineating a first segmented region of a first tissue type and a second segmented region of a second contrasted tissue type and identified regions which include regions fully enclosed by the first segmented region as a third tissue type. The coarse segmenter (30) grows a coarse segmented region of coarse voxels for each contrasted tissue type from the seed location based on a first growing algorithm and a growing fraction for each contrasted tissue type.

Abstract: A method and system for automatic pelvis unfolding from 3D computed tomography (CT) images is disclosed. A 3D medical image, such as a 3D CT image, is received. Pelvis anatomy is segmented in the 3D medical image. The 3D medical image is reformatted to visualize an unfolded pelvis based on the segmented pelvis anatomy.

Abstract: There is described a system and a method for assisting a user manipulating an object during a surgery, the method comprising: tracking the object in a sterile field in which surgery is being performed at a location using a tracking device which generates tracking data; processing the tracking data using a processing device located outside the sterile field to generate position and orientation information related to the object; and sending the position and orientation information related to the object to a displaying device positioned in the sterile field adjacent to the location at which the surgery is being performed, for display to the user.

Abstract: A medical image registration method includes performing a first registration by registering first medical images, including a registration image and a display image, the display image being an image to be displayed, performing a second registration by registering a second medical image having a different modality than a modality of the first medical images, with the registration image, and extracting a cross-section of one of the first medical images, corresponding to a cross-section of the second medical image, from the display image, according to the first registration and the second registration.

Abstract: Disclosed is an apparatus for displaying a medical image, the apparatus including: a data acquisition unit for acquiring volume data of an object; an image generation unit for generating a medical image, which includes at least one three-dimensional (3D) stereoscopic image and at least one 2D stereoscopic image generated based on at least one of a direction, a gradient, and a depth of an object shown in the 3D stereoscopic image, from volume data of the object; and a displaying unit for displaying the generated medical image.

Abstract: According to the invention, a method for detecting and measuring local shape deviations in flat, curved, or domed surfaces of a test object, wherein three-dimensional measurement data (D) of the surfaces are evaluated by means of an evaluating apparatus, is designed and further developed, with regard to nondestructive testing of test objects with objective and easy-to-interpret assessment results, in such a way that the evaluating apparatus uses at least one virtual filter element as a concave filter for detecting concave sub-areas in flat or convex surfaces and/or as a convex filter for detecting convex sub-areas in flat or concave surfaces, that the filter element determines magnitudes of the shape deviations, and that said magnitudes are output by means of an outputting apparatus as measured values. The invention specifies a device for performing a corresponding method.

Abstract: A method and a corresponding apparatus and system localizes a spine in an image, in particular a computed tomography (CT) image, of a human or animal body, allowing for a reduced need for computational power and/or memory on the one hand and assuring a reliable localization of the spine on the other hand. The method includes a) acquiring a plurality of slice images of at least a part of a human or animal body, and b) automatically selecting slice images and/or parts of slice images from the acquired plurality of slice images by considering at least one parameter (?z, ?z, ?z, ?z) characterizing a distribution of bones in the acquired slice images, wherein the selected slice images and/or parts of the slice images includes image information about the spine.

Abstract: A method and system for magnetic resonance imaging (MRI) based motion correction in position emission tomography (PET) images is disclosed. A static 3D magnetic resonance (MR) image of a patient is received. PET image data of the patient and a series of 2D MR images of the patient acquired simultaneous to the acquisition of the PET image data are received. A 3D+t motion field is estimated by registering the series of 2D MR images acquired at the plurality of time points to the static 3D MR image. A motion corrected PET image is generated based on the estimated 3D+t motion field using motion corrected PET reconstruction.

Abstract: A computed tomography imaging process, including: acquiring projection images of an object by detecting radiation that has passed through the object for respective different relative orientations of the object and the radiation; and processing the projection images to generate a tomogram of the object; wherein the radiation passes through the object in the form of a diverging beam, and the different relative orientations of the object and the beam of radiation define two or more complete trajectories of the beam along the object, the complete trajectories being mutually offset to reduce the degradation of spatial resolution in portions of the generated tomogram due to the divergence of the beam through the object.

Abstract: Enhancing color(s) in a digital slide image to increase contrast. In an embodiment, a digital slide image of a tissue sample is acquired. The tissue sample is counterstained, such that the digital slide image comprises an image of a first stain and a second stain. The contrast between the first stain and the second stain is increased to enhance the digital slide image.

Abstract: A robotic catheter control system includes a collision detection logic configured to determine a collision metric indicative of a collision between a medical device that is manipulated by the robotic control system and an object. The object may be an anatomical feature or can be another medical device, including another device being manipulated by the robotic control system. The collision detection logic produces virtual representations of the medical device and the object and uses these representation to determine collision. Geometrical solids, such as spheres, are used to represent the outer surfaces of the devices and the logic determines whether the respective surfaces intersect, thereby indicating collision. Collision avoidance involves estimating future device poses and then computing an alternate path computation so as avoid predicted collision(s).

Abstract: An information processing apparatus for registering additional information of an image in a storage unit reads additional information items of an input image, sets a check item condition for additional information, matches at least one of the additional information items against a corresponding additional information item registered in the storage unit according to the check item condition, and controls whether to register the additional information items in the storage unit depending on a result of the matching.

Abstract: A method of displaying a high dynamic range image, comprising receiving the high dynamic range image, calculating a first set of tone mapping parameters as a function of the high dynamic range image, sub-sampling the first set of tone mapping parameters at a first resolution to create a first sub-sampled parameter set, creating a first tone-mapped image by processing the high dynamic range image as a function of the first sub-sampled parameter set, and displaying the first tone-mapped image. A method of composting a plurality of versions of an image to create the high dynamic range image is also disclosed such that the compositing may be modified as a function of received user input.

Abstract: A method for radiographic imaging obtains a radiographic image of a patient's chest and processes the obtained image to generate a default radiographic image and a bone-enhanced image. At least a portion of one or more ribs within the default radiographic image is detected and a rib mask generated according to the at least the detected portion of the one or more ribs. The rib mask is applied to the bone-enhanced image to define masked enhanced image content that includes the detected at least the portion of one or more ribs. A composite image that combines the masked enhanced image content with the default radiographic image is generated and displayed.

Abstract: Methods, apparatuses, and computer program products are herein provided for enabling hand gesture recognition using an example infrared (IR) enabled mobile terminal. One example method may include determining a hand region in at least one captured frame using an adaptive omnidirectional edge operator (AOEO). The method may further include determining a threshold for hand region extraction using a recursive binarization scheme. The method may also include determining a hand location using the determined threshold for the extracted hand region in the at least one captured frame. The method may also include determining a fingertip location based on the determined hand location. Similar and related example apparatuses and example computer program products are also provided.