Abstract: A method, image processing system and computer program product are provided for detecting an anatomical marker within an image study. In the context of a method, data elements associated with image slices of the image study of a patient are accessed. The data elements are representative of one or more characteristics of the image slices, but do not include picture elements that comprise the image slices. The method also includes reviewing the data elements associated with at least some image slices of the image study of the patient. The method further includes detecting the anatomical marker within the image study based upon a review of the data elements and identifying a subset of the image slices of the image study based upon the anatomical marker or a distance from the anatomical marker.

Abstract: A downhole system comprises a main sensor, such as a gamma sensor, and a backup sensor. The backup sensor may be of a different type from the main sensor. In some embodiments the backup sensor is a high reliability sensor that may have a different sensitivity from the main sensor. The system operates both the main and backup sensors and generates calibration data for the backup sensor. If the main sensor fails the calibration data may be applied to process data from the backup sensor to yield an estimate of the data that the main sensor would have yielded if it had remained operational. The calibration data may compensate for temperature variations and/or temporal drift, for example.

Abstract: An intelligent medical imaging scanner system includes an image scanner, an operator interface, a database, processors, and a storage medium. The database includes a learning model for relating configurations of the image scanner to operator input requirements. The storage medium contains programming instructions that, when executed, cause the processors to determine whether the learning model may be used to generate a configuration of the image scanner corresponding to the new input requirements. If the configuration can be generated, the processors use that configuration to acquire images of a patient using the image scanner. If the configuration of the image scanner cannot be generated, the processors perform an accommodation process comprising (a) modifying the learning model to generate a new configuration of the image scanner corresponding to the new input requirements, and (b) using the new configuration to acquire the images of the patient using the image scanner.

Abstract: Systems and methods are disclosed for transmitting, to user devices, data for potential targets predicted to be identified in an augmented reality application. One method includes receiving a request for target data related to at least one physical object within an image of a real-world environment captured at the device; identifying a current target representing the physical object within a virtual environment corresponding to the real-world environment; determining at least one potential future target to be identified at the device based on identified coincident target requests; and sending to the device target data for each of the current and potential future targets based on the determination, wherein the device presents the target data for the current target within the virtual environment displayed at the device and store the target data for the potential future target in a local memory of the device.

Abstract: An information processing apparatus includes: a storage unit that stores determination information in which for each of a plurality of types of modalities that each generate medical information data including medical image data and type data indicating the type of the modality, method information indicating a color conversion method for the medical image data is associated with type data indicating the type of modality; a data receiver that receives data; a data acquisition unit that, when the received data is medical information data, acquires the type data from the received data; a method determiner that determines, based on the acquired type data and the determination information stored in the storage unit, the color conversion method for the medical image data included in the received data; and a color converter that performs color conversion on the medical image data according to the determined color conversion method to generate print image data.

Abstract: A microscope system including an objective lens, a camera for capturing an image of light that comes from a specimen and that is collected by the objective lens, a stage for moving the specimen and the objective lens relative to each other in a direction perpendicular to an optical axis, a controller implementing a VS-image generation for generating a VS image by joining a plurality of microscope-image groups that are acquired while moving the objective lens and the specimen relative to each other, a correction-region search for searching for a correction region for acquiring a correction image, a correction-data generation for generating shading-correction data based on the correction image acquired for the searched-for correction region, and a shading correction for performing correction by using the generated shading-correction data.

Abstract: For assigning a binary label representing belonging to a target region or not to each pixel in an image: a predicted shape of the target region is set; a pixel group including N pixels is selected, where N is a natural number of 4 or more, which have a positional relationship representing the predicted shape; and an energy function is set, which includes an N-th order term in which a variable is a label of each pixel of the pixel group, so that a value of the N-th order term is at a minimum value when a combination of the labels assigned to the pixels of the pixel group is a pattern matching the predicted shape, and increases in stages along with an increase in a number of pixels to which a label different from the pattern is assigned. The labeling is performed by minimizing the energy function.

Abstract: Methods, apparatus, and other embodiments associated with classifying a region of tissue using quantified vessel tortuosity are described. One example apparatus includes an image acquisition logic that acquires an image of a region of tissue demonstrating cancerous pathology, a delineation logic that distinguishes nodule tissue within the image from the background of the image, a perinodular zone logic that defines a perinodular zone based on the nodule, a feature extraction logic that extracts a set of features from the image including a set of tortuosity features, a probability logic that computes a probability that the nodule is benign, and a classification logic that classifies the nodule tissue based, at least in part, on the set of features or the probability. A prognosis or treatment plan may be provided based on the classification of the image.

Abstract: This disclosure describes methods and systems for providing instructions automatically to a user that return the status of an electronic device to a preferred functioning state. In a training stage, imagery of electronic devices with known device states are acquired and stored in a database, along with instructions to return the state of each electronic device to a preferred functioning state. In a diagnostic stage, imagery of a first electronic device is acquired and compared to imagery of the electronic devices in different states in the database. A proximity measure between each of the electronic devices in different states in the database, and the first electronic device is computed. The most likely states of the first device are determined based on the proximity measure. The instructions to return the state of the electronic device to a preferred functioning state are then displayed to a user on a screen display module.

Abstract: Methods and systems are proposed herein for generative adaptive, multi-resolution images efficiently without intensive processing and/or memory consumption or hardware requirements. According to one aspect of the claimed subject matter, a system is provided that includes a computing workstation, communicatively coupled to both a data storage device and an image acquisition device. Real time images acquired by the image acquisition device are presented to the user along with one or more digitally reconstructed radiographs (DRRs)—generated using dynamically selected rendering techniques—from previously acquired image data. The user is able to verify the DRRs as a match to the verification image, and subsequently to dynamically generate additional DRRs more suitable by actuating a portion of the generated DRR. Based on the user actuation, a new DRR is generated and presented to the user for verification.

Abstract: An imaging device comprises an image data acquisition circuit that determines a plurality of focus positions by repeatedly shifting focus position by a given amount, forms subject images at respective focus positions, and acquires, from the subject images that have been formed, a plurality of image data of a first resolution, or a plurality of image data of a second resolution that is different to the first resolution, and an image combination circuit that generates first image data by combining the plurality of image data of the first resolution, or generates second image data by combining the plurality of image data of the second resolution.

Abstract: 1. A medical data processing method of determining information describing the probable position of a neural fiber in a patient's brain, the method comprising the following steps which are constituted to be executed by a computer: a) acquiring patient-specific medical image data describing the brain of the patient; b) acquiring atlas data defining an image-based model of a human brain; c) determining, based on the patient-specific medical image data and the atlas data, seed region data describing seed regions (A, B) in the patient-specific medical image data in which the ends of neural fibers of the patient's brain may be located; d) determining, based on the patient-specific medical image data and the seed region data, neural fiber tract data describing a plurality of potential tracts (T1, T2, T3) which a specific neural fiber may take through the patient's brain; e) determining, based on the atlas data and the neural fiber tract data, a figure of merit for each one of the potential tracts (T1, T2, T3).

Abstract: There are provided: a region extraction unit that extracts a plurality of regions from a three-dimensional image of a subject; an internal tissue information acquisition unit that sets, as a crossing region, a region that a light beam used when projecting the three-dimensional image onto the two-dimensional projection plane crosses first among the plurality of regions, sets, as a first intersection, a point on a region crossing the light beam first when the crossing region is excluded, sets, as a second intersection, a point crossing the crossing region when there is an extension in an opposite direction to a traveling direction of the light beam from the first intersection, and acquires information of an internal tissue included between the first and second intersections; and a display control unit that displays the internal tissue information so as to be superimposed on the three-dimensional image.

Abstract: A method for identifying and enumerating candidate target cells within a biological fluid specimen is described. The method includes obtaining a biological fluid specimen, preparing the biological fluid specimen by staining cell features in the biological fluid specimen, capturing a digital image having a plurality of color channels of the biological fluid specimen, and applying image analysis to the digital image. A computer program product for identifying candidate target cells within a biological fluid specimen is also described. The computer program comprises instructions to cause a processor to carry out the image analysis.

Abstract: Systems and methods for virtualized computing or cloud-computing network with distributed input devices and at least one remote server computer for automatically analyzing received video, audio and/or image inputs for providing social security and/or surveillance for a surveillance environment, surveillance event, and/or surveillance target.

Abstract: A system and method for automated contrast arrival detection in temporally phased images or datasets of tissues effectively determines contrast arrival in regions that are substantially free of arteries. A plurality of tissue voxels in a plurality of temporally phased images are identified as a function of voxel enhancement characteristics associated with discrete tissue voxels. A processor/process computes average enhancement characteristics from the plurality of identified tissue voxels. The average enhancement characteristics are compared with predetermined average enhancement characteristics associated with contrast media arrival phases. Contrast media arrival phases in the temporally phased images are provided based on the comparison.

Abstract: A method of and an apparatus for measuring biometric information are provided. The method includes receiving an image of a biosensor including a reagent pad on which a sample is collected, and comparing brightness information of a reacting region of the reagent pad in the received image with reference brightness information in the received image to determine a value of a reagent reaction between the reagent pad and the sample.

Abstract: An endoscope system includes a light source unit, an image sensor, an image signal obtaining section, a vessel position signal generator, a vessel width signal generator, and a vessel image signal generator. The light source unit generates illumination light. The image sensor captures an image of an object of interest irradiated with the illumination light. The image signal obtaining section obtains an image signal, which represents the object, from the image sensor. The vessel position signal generator generates a vessel position signal, which represents the position of a blood vessel of the object, from the image signal. The vessel width signal generator generates a vessel width signal, which represents the width of the blood vessel, from the image signal. The vessel image signal generator generates a vessel image signal, which represents the blood vessel, from the vessel position signal and the vessel width signal.

Abstract: A method includes obtaining projection data from a scan of a moving structure of interest. The method further includes reconstructing the projection data, generating first image data. The method further includes identifying a sub-set of the projection. The method further includes reconstructing the sub-set projection data, generating second image data. The method further includes identifying a region in which the moving structure of interest is located based on the first image data. The method further includes identifying a location of the moving structure of interest in the identified region based on the second image data.

Abstract: A control method for an information terminal including a computer, the control method including controlling the computer to 1) detect whether information indicating a region of interest in a target medical image to be interpreted is input, 2) receive a plurality of similar medical images similar to the target medical image from a case search system, the received similar medical images including an axial image and a coronal image, and 3) display the axial image or the coronal image on a display such that the axial image is displayed when the number of regions of interest indicated by the information input to indicate region of interests is one while the coronal image is displayed when the number of regions of interest indicated by the information input to indicate region of interests is two or more or in a case where the information indicating regions of interest is not input.

Abstract: A position measuring apparatus detects, from respective first and second imaging planes of first and second captured images, first and second corresponding points estimated to represent a common three-dimensional position. The apparatus calculates first to fourth projected points. Each of the first and second projected points represents a projected point of the first corresponding point on a corresponding one of the first and second common planes. Each of the third and fourth projected points represents a projected point of the second corresponding point on a corresponding one of the first and second common planes. The apparatus calculates a first beam connecting the first and second projected points, a second beam connecting the third and fourth projected points, and a point having a minimum square distance relative to each of the first and second beams as a restored point representing the three-dimensional position of the first and second corresponding points.

Abstract: A diagnostic apparatus for diagnosing a disease using a captured image of an affected area, the apparatus including a memory configured to memorize the captured image; and a processor configured to process the memorized image memorized in the memory. The processor is configured to perform a highlighting process which includes separating the captured image into the brightness component and a color information component; separating the brightness component into a base component and a detail component; highlighting the separated brightness component; and adding a region to be diagnosed in the captured image to the highlighted brightness component while a specified color of the region to be diagnosed is maintained.

Abstract: A computer-implemented method for scaling an object is described. A distance of an object from the computing device is measured via a processor of a computing device in conjunction with a rangefinder. An image of the object is captured via the processor. A database of pixel densities is queried, via the processor, for a pixel density at the measured distance of the object from the computing device. A depiction of the object is scaled based on determining a distance of a detected feature of the object.

Abstract: A method for processing an image in a video device, comprises reading an image and combining the image with metadata related to the image by embedding the metadata in or with the image. The method further includes combining transforming the image and extracting the metadata from the image, before encoding the image in an encoder and utilizing the metadata as input in further processing.

Abstract: A shape data generation apparatus includes a detection unit and a generation unit. With reference to model information indicating the thicknesses and the positions of both ends of a plurality of elements each having a cylindrical surface, the detection unit detects a connection point where two or more elements are connected to each other, on the basis of the positions of both ends of the elements. The generation unit generates a curved surface collectively covering the connecting ends of the two or more elements, on the basis of the thicknesses and the positions of both ends of the two or more elements connected at the connection point.

Abstract: Systems and methods for personalized cancer therapy using analysis of pathology slides to target regions in a single sample that interrogates the feature data of a relatively large number of cells. The disclosure describes pathology case review tools of the future which include analysis, visualization and prediction modeling to provide novel information to the pathologist for the diagnosis of disease. This disclosure further describes a user interface to assist the physicians that make that diagnosis, pathologists. Complex computer learning algorithms will combine and mine these data sets to recommend optimal treatment strategies. A computer interface is provided which allows a pathologist to access those data instantly to make a more informed and accurate diagnosis.

Abstract: The system of the invention utilizes a magnetic resonance imaging (MRI) coil to measure power at a different frequency than the MRI frequency to produce MRI images. The different frequency such as harmonic frequency of the MR coil is applied to the coil and the reflected power is measured by the power sensor. Changes due to respiratory, cardiac, or overall motion are then analyzed, as desired. During imaging, the coil is connected to the MRI system and disconnected from the setup described, including the power sensor and its associated data processing, amplifier, signal generator, and directional coupler. Disconnect is provided in a one-step process by the switching circuit.

Abstract: A system and method are described for automating the analysis of cephalometric x-rays. Included in the analysis is a method for automatic anatomical landmark localization based on convolutional neural networks. In an aspect, the system and method employ a deep database of images and/or prior image analysis results so as to improve the outcome from the present automated landmark detection scheme.

Abstract: Systems and methods are disclosed for manipulating image annotations. One method includes receiving an image of an individual's anatomy; automatically determining, using a processor, one or more annotations for anatomical features identified in the image of the individual's anatomy; determining a dependency or hierarchy between at least two of the one or more annotations for anatomical features identified in the image of the individual's anatomy; and generating, based on the dependency or hierarchy, a workflow prompting a user to manipulate the one or more annotations for anatomical features identified in the image of the individual's anatomy.

Abstract: An image output device according to the present disclosure includes: an image acquisition unit that acquires an image with a first resolution; a high-resolution image acquisition unit that acquires an image with a second resolution, being an image of higher resolution than the image with the first resolution; an enlargement input unit that accepts input of an enlargement ratio; a determination unit that determines whether or not an evaluation score determined based on the accepted enlargement ratio is higher than a certain value; and a transmission unit that transmits the image with the second resolution if the evaluation score is determined to be higher than the certain value, and does not transmit the image with the second resolution if the evaluation score is determined not to be higher than the certain value.

Abstract: The invention provides systems and method for the removal of diseased cells during surgery.

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: An image processing apparatus (16) is disclosed for segmenting a region of interest (15) in a multi-dimensional image data of an object (12). The image processing apparatus comprises an interface for receiving an image data of the object including the region of interest to be segmented. A selection unit selects a deformable model 30 of an anatomical structure corresponding to the object in the image data. A processing unit segments the region of interest by adapting the deformable model on the basis of the image data (xt) and additional information of the object.

Abstract: Various embodiments presented herein relate to assigning labels to segments of a synthetic aperture radar (SAR) image, where the segments are based upon a speckle-reduced SAR image product. A plurality of SAR images of a scene are co-registered to form a registered stack of SAR images. A speckle-reduced SAR image product is generated based upon at least one registered SAR image in the registered stack of SAR images. The speckle-reduced SAR image product is segmented into a plurality of superpixels, and boundaries of the superpixels are applied to the at least one registered SAR image to form a segmented SAR image. A segment of the SAR image is then labeled as including or not including a feature, wherein the label is assigned based upon values of pixels in the segment.

Abstract: Techniques, systems, and devices are disclosed for analyzing a reconstructed charged particle image of a volume of interest from charged particle detector measurements to detect objects within the volume of interest and then extracting features from the detected objects based on their statistical and geometric properties. In one aspect, this technique partitions the reconstructed charged particle image of the volume into a set of voxels, wherein each voxel is associated with an intensity value. The technique next performs a segmentation operation on the said image to identify a subset of the set of voxels as object-candidate voxels for generating objects. The technique then performs a connected-component analysis on the object-candidate voxels to identify one or more objects within the said image of the volume. The technique subsequently extracts a set of object features from each identified object based at least on the statistical and geometric properties of the identified object.

Abstract: Approaches for assessing hemodynamic characteristics for an organ of interest are related. In one implementation, a fluid dynamics model may be provided with data derived from an anatomic imaging modality and blood flow information derived by ultrasound to derive the desired hemodynamic characteristics. In one such implementation, a fractional flow reserve is estimated.

Abstract: An integrated waveguide based spectrometer is described. The spectrometer comprises a sensing region for receiving multi-wavelength radiation for irradiating a sample in the sensing region, a wavelength demultiplexing element arranged for capturing said multi-wavelength radiation after interaction with the sample and for providing a number of wavelength demultiplexed radiation outputs or a number of different groups of wavelength demultiplexed radiation outputs, an integrated modulator for differently modulating the different demultiplexed radiation outputs or different groups of demultiplexed radiation outputs, and a multiplexer element for multiplexing the differently modulated demultiplexed radiation outputs or the differently grouped demultiplexed radiation outputs.

Abstract: A method and a system for registering multi-modal brain images includes registering two or more full volumes of brain images based on a projection based reference image. The registration is based on sharing of mass in a predetermined direction such as axial, sagittal and coronal direction. After the registration of two or more brain images, a two or more partial volumes in a region of interest is registered through a modified mutual information. The modified mutual information may be a factor of an overlap rate and a weight assigned to it.

Abstract: An MRI system (100) acquires magnetic resonance data (158, 168) from a subject.

Abstract: Described embodiments include a system, method, and computer program product. In a described system, a receiver circuit receives at least two reference images of a patient body part. Each reference image includes a respective landmark subsurface feature of the patient body part, and each imaged landmark subsurface feature has a respective spatial relationship to a respective region of a surface of the patient body part imaged during a medical examination. A feature matching circuit determines a correspondence between (x) each atlas landmark subsurface feature of the patient body part included in a landmark subsurface feature atlas and (y) each respective imaged landmark subsurface feature. A reporting circuit generates informational data reporting a depiction of an area of the surface of the patient body part by at least two adjacent imaged regions of the surface of the patient body part. A communication circuit outputs the informational data.

Abstract: Provided herein is a device and a method for recognizing an obstacle and a parking slot to support an unmanned autonomous parking function. The device includes a motion measurement unit measuring a vehicle motion using an in-vehicle sensor, an inverse perspective transform unit performing inverse perspective transformation of an image, which is obtained using a wide-angle camera, to obtain an inverse perspective image, and an obstacle detection unit detecting the obstacle using the inverse perspective image.

Abstract: A method of automatically evaluating resection accuracy, is provided. The method includes preoperatively obtaining a first image of a volume of patient tissue using an imaging modality configured according to a scanning parameter, and storing the scanning parameter. An identifier of a target region corresponding to a target portion of the volume is received and stored in association with the first image. A second image is obtained of a resected tissue sample from the volume, using the imaging modality configured according to the scanning parameter. Based on a comparison of the first image and the second image, a determination is made whether the entire target region is represented in the second image. The method includes controlling an output device to present an indication, based on the determination, of whether the tissue sample contains the entire target portion.

Abstract: The current invention concerns a method for detecting cancerous cells and/or classifying cells in a cell sample comprising the following steps: providing a cell sample; obtaining holographic information from said cell sample by digital holographic microscopy (DHM); deriving at least one cellular parameter from said holographic information, and; classifying said cells of cells sample; characterized in that said classification occurs by appointing a Scoring Factor to said cells of cell sample, based on said cellular parameters. In a second aspect, a system for the detection of cancerous cells and/or classification of cells in a cell sample is provided, employing the method as disclosed in the invention. In a final aspect, a method for updating and/or improving a database comprising thresholds linked to holographic information and the database related thereof is equally disclosed.

Abstract: A pharmaceutical filling system for a high volume pharmacy is described. The system can include a spill detection subsystem and method. The system can include a cameras to take images that a processed to determine presence of a spilled pharmaceutical. A mirror portion is provided so that the camera can take images of the entire field of the filling area. The mirror portion can be a concave mirror that increases the field of view of the camera. A light panel can illuminate the field of view to allow the camera to take high speed images. A controller can receive a series of at least two images captured by the camera and determine whether an object in the captured images is a spilled pharmaceutical.

Abstract: A dynamic analysis system includes an imaging unit, an attenuation process unit and an analysis unit. The imaging unit images a dynamic state of a subject, thereby generating a plurality of frame images showing the dynamic state of the subject. The attenuation process unit performs an attenuation process to attenuate an image signal component of a product in the frame images. The analysis unit analyzes the dynamic state of the subject based on the frame images after the attenuation process.

Abstract: Real-time video stabilization for mobile devices based on on-board motion sensing. In accordance with a method embodiment of the present invention, a first image frame from a camera at a first time is accessed. A second image frame from the camera at a subsequent time is accessed. A crop polygon around scene content common to the first image frame and the second image frame is identified. Movement information describing movement of the camera in an interval between the first time and the second time is accessed. The crop polygon is warped to remove motion distortions of the second image frame is warped using the movement information. The warping may include defining a virtual camera that remains static when the movement of the camera is below a movement threshold. The movement information may describe the movement of the camera at each scan line of the second image frame.

Abstract: Systems and methods for tracking, identifying, labeling and/or classifying objects or features of interest, such as follicular units are provided. In some embodiments the identified and labeled features of interest, such as follicular units, may be used for planning hair harvesting, hair implantation and/or performing hair transplantation procedures.

Abstract: A method includes receiving data corresponding to a sequence of deformations of a surface of an object. The method also includes generating spherical harmonics expressions based on the data. The method includes identifying a subspace of the spherical harmonics expression corresponding to the surface.

Abstract: A robotic system including: a robot arm; a camera for capturing motion of the robot arm; an input mechanism for detecting user input; a display device; and a controller. The controller can operate in (i) a first mode configured to drive the display device to display a video stream captured by the camera in a first format and to drive the robot arm such that motion by the user in a first direction causes the robot arm to move a reference part in a second direction; and (ii) a second mode configured to drive the display device to display the video stream in a second format reflected with respect to the first format and to drive the robot arm such that motion by the user in the first direction causes the robot arm to move the reference part in a direction opposite to the second direction.

Abstract: The diagnostic vector classification support system and method disclosed herein may both reduce the time and effort required to train radiologists to interpret medical images, and provide a decision support system for trained radiologists who, regardless of training, have the potential to miss relevant findings. In an embodiment, a morphological image is used to identify a zone of interest in a co-registered functional image. An operator's grading of a feature at least partially contained within the zone of interest is compared to one or more computer-generated grades for the feature. Where the operator and computer-generated grades differ, diagnostic support can be provided such as displaying additional images, revising the zone of interest, annotating one or more displayed images, displaying a computer-generated feature grade, among other possibilities disclosed herein.