Abstract: A method for post-processing images of a region of interest in a subject, the images being acquired with a magnetic resonance imaging technique, the method for post-processing comprising at least the step of: unwrapping the phase of each image, extracting a real signal over echo time for at least one pixel of the unwrapped images, and calculating fat characterization parameters by using a fitting technique applied on a model, the model being a function which associates to a plurality of parameters each extracted real signal, the plurality of parameters comprising at least two fat characterization parameters and at least one parameter obtained by a measurement, the fitting technique being a non-linear least-square fitting technique using pseudo-random initial conditions.

Abstract: Methods and systems for assessing lung function using volumetric images obtained at inspiration and expiration. The method may include processing the first and second set of images to identify known anatomical structures of the lungs, registering the first set of images to the second set of images to match voxels of the first set of images to voxels of the second set of images as matched pairs of inspiratory and expiratory voxels, calculating a continuous probability of a lung characteristic at a location of the matched pairs of voxels, and displaying the result on a display. The method may also include classifying lung tissue at each location as normal, having air trapping without emphysema, or being emphysematous.

Abstract: According to one embodiment, a service providing system accumulates, as first context information linked to identification information of a first user, at least a part of first data detected by a first sensor worn on a body of the first user or provided in a held object of the first user. The service providing system provides a first service based on a first aggregate of the accumulated first context information to the first user.

Abstract: A reference tie to be secured around a portion of a spine during a surgical procedure and to be tracked by a surgical navigation system is described. The reference tie includes an elongate strap having a first strap end and a second strap end. The reference tie also includes a fastener joined to the elongate strap at the first strap end, the fastener for securing the first strap end to a portion of the second strap end. The elongate strap is configured to form a secured loop around the portion of the spine. The reference tie also includes a fiducial marker joined to at least one of the elongate strap or the fastener. The fiducial marker is trackable by the surgical navigation system.

Abstract: In one embodiment, a medical image processing apparatus includes memory circuitry configured to store a program; and processing circuitry configured, by executing the program, to set a region of interest in a medical image, set an analysis region in the region of interest by reducing the region of interest, and calculate feature amount in the analysis region.

Abstract: A medical image processing apparatus which processes a medical image including a plurality of structures, the apparatus including: a memory in which a previous shape model including a set of contours of a specific structure based on an anatomical position is stored as previous information; and a hardware processor that: locates the previous shape model in the medical image; calculates, for the medical image, image feature amounts at positions which overlap the contours in the located previous shape model; and extracts contours of the specific structure by detecting candidate points of the specific structure based on the contours in the previous shape model and the image feature amounts.

Abstract: According to an embodiment, a method of providing a medical information service is provided. The method for providing a medical information service comprises the steps of: receiving a target image; extracting feature data of the target image; discovering a relative position of the feature data in a disease classification map in which a pre-trained reference image has been quantified; and providing a user with the disease classification map in which the relative position of the feature data has been discovered.

Abstract: Embodiments relate to digital image processing for diagnosis of a subject. More specifically, the embodiments relate to automation of diagnoses through data interpretation. An image is acquired from the subject. Elements are recognized within the image based on morphological features. The image is compared to learned data. Based on the comparison, a probability of a potential diagnosis(es) is calculated. A diagnosis of the subject is determined based on the potential diagnosis(es) and the calculated probability. The diagnosis may be changed based on a new image acquired from the subject.

Abstract: A computerized method for recording and tracking dermatological lesions is disclosed. The method comprises creating a graphical template of a portion of a human form to assist in taking a photograph of the human body. A composite image of the template and video input are displayed to ensure accuracy of the image. The system also permits a user to highlight multiple dermatological lesions present on the body. When a user highlights the location of a lesion the system prompts the user to create an enhanced zoom image to capture details of the lesion. When multiple enhanced zoom images are created the system permits a user to create a merged image of multiple images of the lesion. The system aligns the images and creates visual accents to quickly display the differences between the photographs, allowing a user to quickly identify changes in the lesion over time.

Abstract: A system for monitoring a live-data flow through a network includes at least one server communicating with the network. A processor within each of the at least one server implements a first processing node for monitoring a mirrored live-data flow of the live-data flow passing through at least one selected point within the network in a non-intrusive manner that does not affect the live-data flow passing through the at least one selected point. The first processing node decodes data within the mirrored live-data flow according to each protocol associated with the data. The first processing node detects at least one predetermined or deduced condition defined by at least one of a plurality of applications implemented on a second processing node and executes at least one predetermined or deduced response responsive to an indication of occurrence of the at least one predetermined or deduced condition within the decoded data.

Abstract: Methods, systems, and computer-readable media are provided for facilitating record matching and entity resolution and for enabling improvements in record linkage. A power-spectrum-based temporal pattern-specific weight may be incorporated into record linkage methods to enhance the record linkage accuracy and statistical performance. For example, in embodiments, a value-specific weight may be calculated from a population-based frequency of field-specific values and provides an opportunity to capture and measure the relative importance of specific values found in a field. A timeseries-derived Bayesian power spectrum weight may be calculated from the population-based frequency of temporal pattern-specific values in terms of intensities at various frequencies of the power spectrum computed from the timeseries, and further provides an opportunity to capture and measure the relative importance of specific sequences of care episodes.

Abstract: Concepts and technologies disclosed herein are directed to image prediction. According to one aspect disclosed herein, an image prediction system can receive a training data set that includes a plurality of training images. The image prediction system can define N-dimensional feature vectors corresponding to the plurality of training images in the training data set, parameterize the N-dimensional feature vectors to obtain a plurality of parameterized curves corresponding the plurality of training images in the training data set, obtain a square root velocity representation for each parameterized curve of the plurality of parameterized curves, rescale the plurality of parameterized curves to remove scaling variability among the plurality of parameterized curves, define a pre-shape space for the plurality of parameterized curves, and obtain shape space points pertaining to each parameterized curve of the plurality of parameterized curves on a shape space that inherits a structure from the pre-shape space.

Abstract: A method is provided for detecting lesions in ultrasound images. The method includes acquiring ultrasound information, determining discriminative descriptors that describe the texture of a candidate lesion region, and classifying each of the discriminative descriptors as one of a top boundary pixel, a lesion interior pixel, a lower boundary pixel, or a normal tissue pixel. The method also includes determining a pattern of transitions between the classified discriminative descriptors, and classifying the candidate lesion region as a lesion or normal tissue based on the pattern of transitions between the classified discriminative descriptors.

Abstract: A device and a corresponding method for skin detection to enable a reliable, accurate and fast detection are disclosed. The proposed device comprises an illumination unit configured to project a predetermined illumination pattern onto a scene, an imaging unit configured to acquire an image of the scene, and an evaluation unit configured to evaluate the acquired image by analyzing the imaged illumination pattern as reproduced in the image and to detect skin areas within the image and distinguish them from non-skin areas within the image based on said analysis.

Abstract: The present development is a method for generating a computer-aided accurate segmentation of an irregular structure, such as a colon The approach is based on a multi-tiered information propagation framework using statistical and variational methods. First, an initial segmentation using a method such as intensity based or shape-model registration for a volume of a typical CT is generated. The segmented image is subjected to a global/convex continuous minimization approach. After minimization, the data goes through post processing, and then the final segmented irregular structure output volume is generated.

Abstract: Apparatus, methods, and other embodiments associated with NMR fingerprinting are described. One example NMR apparatus includes an NMR logic configured to repetitively and variably sample a (k, t, E) space associated with an object to acquire a set of NMR signals. Members of the set of NMR signals are associated with different points in the (k, t, E) space. Sampling is performed with t and/or E varying in a non-constant way. The varying parameters may include flip angle, echo time, RF amplitude, and other parameters. The NMR apparatus may also include a signal logic configured to produce an NMR signal evolution from the NMR signals, a matching logic configured to compare a signal evolution to a known, simulated or predicted signal evolution, and a characterization logic configured to characterize a resonant species in the object as a result of the signal evolution comparisons.

Abstract: A raw data set is acquired using a scan protocol via an imaging medical device. In an embodiment of a method, the raw data set and the scan protocol are transmitted from the medical device to a reconstruction unit. Furthermore, an at least two-dimensional image data set is calculated from the raw data set via the reconstruction unit. Furthermore, a display parameter is fetched via the reconstruction unit, the display parameter being assigned to the scan protocol and the display parameter defining a first projection method for the image data set. Furthermore, the image data set and the display parameter are transmitted from the reconstruction unit to a display unit, the reconstruction unit and the display unit being spatially separate. Furthermore, a first projection data set is determined by applying the first projection method to the image data set via the display unit.

Abstract: Systems and methods for executing super-resolution microscopy of a specimen with most of the image processing performed in a camera of a fluorescence microscopy instrument are described. In one aspect, the camera includes one or more processors to execute machine-readable instructions that control excitation light output from a multi-channel light source, control capture of intermediate images of the specimen, and perform image processing of the intermediate images to produce a final super-resolution image of the specimen.

Abstract: An information processing apparatus is provided comprising a processor; and a memory device storing instructions. When executed by the processor, the instructions cause the processor to generate scene information to reproduce display of at least one selected area of a pathological image; and receive order information corresponding to the scene information based on a user input. In another embodiment, the instructions cause the processor to receive scene information to display at least one selected area of a pathological image and order information corresponding to an order of the scene information; and control display of the at least one selected area of the pathological image in the order based on the scene information and the order information.

Abstract: Methods and systems for data segmentation include determining initial segmentation scores for each unit of an input data set using a neural network, with each unit being assigned an initial segmentation score for each of multiple segmentation classes. Final segmentation scores are determined for each unit of the input data set by enforcing a smoothness criterion. The input data set is segmented in accordance with the final segmentation scores.

Abstract: Methods, apparatus, systems and articles of manufacture (e.g., physical storage media) to assess image quality using adaptive non-overlapping mean estimation are disclosed. Example image quality assessment methods disclosed herein include replacing respective blocks of pixels of a first image with mean values of the respective blocks of pixels to determine a second image having a smaller size than the first image. Disclosed example image quality assessment methods also include determining a vector of features for the second image. Disclosed example image quality assessment methods further include applying the vector of features to a neural network, and classifying a quality of the first image based on an output of the neural network.

Abstract: Systems and methods are disclosed herein for anatomical modeling using information obtained during a medical procedure, whereby an initial anatomical model is generated or obtained, a correspondence is determined between the initial model and additional data and/or measurements from an invasive or noninvasive procedure, and, if a discrepancy is found between the initial model and the additional data, the anatomical model is updated to incorporate the additional data and reduce the discrepancy.

Abstract: A method of operating a data processing system to automatically process a color digital image of a specimen that has been stained with a first dye and a second different dye is disclosed. The method includes receiving a color image that includes a plurality of pixels, each pixel being characterized by a pixel vector having components determined by the intensity of light in each of a corresponding number of wavelength bands. A plurality of pixel vectors of the image are transformed to a hue space divided into a plurality of bins, each bin being characterized by a number of pixels that have been transformed into that bin. The data processing system automatically finds first and second color vectors characterizing the first and second dyes, respectively based on the number of pixels that were transformed into each of the bins.

Abstract: Embodiments of the present disclosure relate to systems and techniques for accessing data stores of medical images and displaying the medical images in substantially real-time to provide information in an interactive user interface. Systems are disclosed that may advantageously provide highly efficient, intuitive, and rapid dynamic interaction with two- and three-dimensional medical image data using hand gestures. The systems may include interactive user interfaces that are dynamically updated to provide tracking of a user's hand in a virtual 3D space by two- and/or three-dimensional image data. A user may use the systems described herein to more quickly, thoroughly, and efficiently interact with image data including two-dimensional images, three-dimensional image data, and/or series of image data, as compared to previous systems.

Abstract: A medical imaging data processing apparatus comprises processing circuitry configured to obtain a first imaging data set comprising a set of pixels or voxels, the first imaging data set being reconstructed from first measurement data representative of measurements of a measurement volume obtained by relative rotation of a medical scanner and the measurement volume by a first range of angles during a first scanning time period; obtain a second imaging data set comprising a set of pixels or voxels, the second imaging data set being reconstructed from second measurement data representative of measurements of the measurement volume obtained by relative rotation of the medical scanner and the measurement volume by a second range of angles during a second scanning time period, wherein the second scanning time period overlaps the first scanning time period such that some angles are included in both the first range of angles and the second range of angles; transform the first imaging data set to obtain a first transf

Abstract: A pill identification system identifies a pill type for a pharmaceutical composition from images of the pharmaceutical composition. The system extracts features from images taken of the pill. The features extracted from the pill image include color, size, shape, and surface features of the pill. In particular, the features include rotation-independent surface features of the pill that enable the pill to be identified from a variety of orientations when the images are taken. The feature vectors are applied to a classifier that determines a pill identification for each image. The pill identification for each image is scored to determine identification for the pharmaceutical composition.

Abstract: Technology is described for incorporating statistical strength from neighboring voxels in an fMRI image. The method can include the operation of capturing an fMRI image of a human organ and the fMRI image includes statistical values for voxels in order to detect changes associated with blood flow representing organ activity. The statistics of the fMRI image can be upsampled to a larger coordinate size. Another operation can be resampling the statistical values of the fMRI image to improve the statistical strength for target voxels in the fMRI by identifying strong statistical values in neighboring voxels in a defined neighborhood of the target voxels and improving statistical values of the target voxels using the strong statistical values. The statistics of the fMRI image can integrated into a region of interest identified for the human organ to improve data values of the target voxels while retaining regional boundaries.

Abstract: A method for registering a three dimensional (3D) coordinates system with a Medical Positioning System (MPS) coordinate system and with a two dimensional (2D) coordinate system, includes acquiring at least one 2D image of a volume of interest, the volume of interest including at least one tubular organ within the body of a patient. The 2D image is associated with the 2D coordinate system, and a plurality of MPS points is acquired, within the at least one tubular organ. The MPS points are associated with the MPS coordinate system, the MPS coordinate system being registered with the 2D coordinate system. A 3D image model is extracted of the at least one tubular organ form a pre-acquired 3D image of the volume of interest.

Abstract: In a method and system for planning irradiation of a patient for therapy, a first time series acquired from computed tomography scan data of the patient is provided to a processor, as is a second time series acquired from magnetic resonance scan data of the patient. A first parameter that characterizes the first time series is acquired, as is a second parameter that characterizes the second time series. The first time series and the second time series are combined in the processor using the first parameter and the second parameter. An irradiation plan is calculated in the processor using the combined first time series and second time series.

Abstract: The present disclosure describes a method for determining spinal instability, more particularly, a method for quantifying the type and extent of spinal instability in a standardized way. The disclosure also describes a method comprising measurement of the intervertebral rotation and intervertebral translation between a vertebrae pair using simple images, and from these measurements, determining if one or more vertebrae pair of the spine is unstable. Finally, the disclosure describes software that may be used to quantify the type and extent of spinal instability.

Abstract: A dynamic analysis system includes a comparing unit and a display unit. The comparing unit extracts a lung field from each of dynamic images obtained by imaging a chest part containing a left lung and a right lung of a subject, specifies a corresponding point in a left part and a corresponding point in a right part of the lung field, and compares characteristic amounts at the respective corresponding points with each other. The display unit displays a result of the comparison made by the comparing unit together with the dynamic images or one of the dynamic images, or displays the result on the dynamic images or the one of the dynamic images.

Abstract: A method includes determining, with a computer implemented classifier, a health state of tissue interest of a subject in at least one pair of images of the subject based on a predetermined set of longitudinal features of the tissue of interest of the subject in the at least one pair of images of the subject. The at least one pair of images of the subject includes a first image of the tissue of interest acquired at a first moment in time and a second image of the tissue of interest acquired at a second moment in time. The first and second moments in time are different moments in time. The method further includes visually displaying indicia indicative of the determined health state.

Abstract: Reference imagery of dermatological conditions is compiled in a crowd-sourced database (contributed by clinicians and/or the lay public), together with associated diagnosis information. A user later submits a query image to the system (e.g., captured with a smartphone). Image-based derivatives for the query image are determined (e.g., color histograms, FFT-based metrics, etc.), and are compared against similar derivatives computed from the reference imagery. This comparison identifies diseases that are not consistent with the query image, and such information is reported to the user. Depending on the size of the database, and the specificity of the data, 90% or more of candidate conditions may be effectively ruled-out, possibly sparing the user from expensive and painful biopsy procedures, and granting some peace of mind (e.g., knowledge that an emerging pattern of small lesions on a forearm is probably not caused by shingles, bedbugs, malaria or AIDS).

Abstract: An image processing apparatus includes: a detection unit configured to detect images of interest including regions of interest that are estimated as an object to be detected, from a group of a series of images acquired by sequentially imaging a lumen of a living body; an image-of-interest group extracting unit configured to extract a group of images of interest including an identical region of interest, from the images of interest detected by the detection unit; and a representative image extracting unit configured to extract one or more representative images from the group of images of interest, based on at least one of correlation of the regions of interest with the object to be detected, and visibility of the regions of interest.

Abstract: A system for counting fetal and maternal red blood cells (RBCs) including a microscope and image capturing device to capture at least one image from a slide holding the fetal and maternal RBCs; a computer readable medium for storing the at least one image; a processor for executing computer readable instructions stored on a computer readable medium; wherein the computer executable instructions include instructions for: indentifying red blood cells from the at least one image; distinguishing between fetal and maternal red blood cells; and counting the fetal and maternal red blood cells.

Abstract: Visual impairment, or vision impairment, refers to the vision loss of an individual to such a degree as to require additional support for one or more aspects of their life. Such a significant limitation of visual capability may result from disease, trauma, congenital, and/or degenerative conditions that cannot be corrected by conventional means, such as refractive correction, such as eyeglasses or contact lenses, medication, or surgery. According to embodiments of the invention a method of augmenting a user's sight is provided comprising obtaining an image of a scene using a camera carried by the individual, transmitting the obtained image to a processor, selecting an algorithm of a plurality of spectral, spatial, and temporal image modification algorithms to be applied to the image by the processor, modifying the image using the algorithm substantially in real time, and displaying the modified image on a display device worn by the individual.

Abstract: Systems and methods for optimizing bed boundary locations and prediction of associated petrophysical property values of a wellbore in a reservoir formation are disclosed. To optimize bed boundary locations and predict petrophysical property values, a process can be used in which a high resolution wellbore log is used to get an initial estimate of boundary positions. The initial estimate can then be used to constrain a joint optimization of bed positions and associated petrophysical property values. Such a process automates both the generation of a single set of boundaries that are common to all measurements and the prediction of petrophysical properties via joint inversion. The same inversion process can be used to derive quality indicators on the corrected bed boundary locations and the petrophysical property values.

Abstract: A first imaging unit obtains a first radiation image, which is imaged under first imaging conditions. A second imaging unit obtains a plurality of projection images by tomosynthesis imaging under second imaging conditions. A reconstructing unit reconstructs a plurality of projection images to generate a plurality of tomographic images of cross sectional planes of a subject. An image synthesizing unit generates a second radiation image employing the plurality of tomographic images. A subtraction processing unit administers a subtraction process on the first and second radiation images, to generate a subtraction image.

Abstract: A method includes obtaining two-dimensional measurements of a given scene from sensors, the given scene comprising a plurality of scene points, distributing the given scene into bundles each associated with at least one sensor and at least one scene point, establishing constraints associated with the sensors and the plurality of scene points that are associated with two different bundles, estimating, individually for each of the bundles, a set of parameters for the at least one sensor and the at least one scene point associated with that bundle utilizing at least one of the two-dimensional measurements, generating a consensus parameter set for the one or more sensors and the plurality of scene points based on the estimated parameter sets, the established constraints being utilized to reconcile differences in parameter values in the estimated parameter sets, and producing a three-dimensional representation of the given scene utilizing the consensus parameter set.

Abstract: An image processing apparatus includes an acquisition unit, a first detection unit, a selection unit, and a correction unit. The acquisition unit acquires an image including a target object having a plurality of parts. The first detection unit detects a candidate region of each of the plurality of parts of the target object included in the acquired image using a previously learned model. The selection unit selects, based on the candidate region detected by the first detection unit, a first part having relatively high reliability and a second part having relatively low reliability from among the plurality of parts. The correction unit corrects the model by changing a position of the second part based on the first part selected by the selection unit.

Abstract: A X-ray chest image rib suppression method based on Poisson model. It conducts contourlet transformation on the image and utilizes transformation coefficient correlation between different scales to conduct texture enhancement on the image; it designs strip-type detection filter in accordance with the Hessian matrix eigenvalue to the image and detects the area where the rib locates in; it combines enhanced texture and rib area information, establishes and solves rib suppression Poisson model, realizing the rib suppression in the image.

Abstract: Systems and methods for cloud-based surveillance for an operation area are disclosed. At least two input capture devices, at least one safety control device and at least one user device are communicatively connected to a cloud-based analytics platform. The cloud-based analytics platform automatically generates 3-Dimensional (3D) surveillance data based on received 2-Dimensional (2D) video and/or image inputs and perform advanced analytics and activates the at least one safety control device based on analytics data from advanced analytics.

Abstract: A cell analyzer system according to the present technology includes an image acquisition unit, a vibration information extraction unit, and a vibration characteristics calculation unit. The image acquisition unit acquires a cell image by capturing cells at elapsed time. The vibration information extraction unit extracts vibration information attributable to spontaneous membrane potential vibration of cells from the cell image. The vibration characteristics calculation unit calculates vibration characteristics of the vibration information from the vibration information.

Abstract: A system and method for mapping standard measurements to local measurements. The system and measurements reading a structured report information object, matching the standard measurements from the structured report information object to corresponding existing local measurements from a local measurement database and generating a summary page including the matched standard measurements and the corresponding existing local measurements and further including unmatched standard measurements that do not correspond to local measurements.

Abstract: A lung lobe contour extraction method aiming at DR radiography, which includes the steps: Obtain the representative lung lobe contour template through offline training; initialize the extraction system of contour lobe area in the chest DR radiography; According to dimension of DICOM image, conduct three-layer pyramid decomposition on the images; Use Gabor filter bank to rebuild pending images; Convert residual error of the rebuilt image by the Gabor filter into black and white image; Use Zhan-Suen refinement algorithm to refine the black and white image; Call every template of the offline training and use them as the convolution kernel operator, conduct convolution on the contour imagep; Filter the local optimum convolution value with optimum possibility from the convolution results and combine the evaluations; Generate the lung lobe contour shape in accordance with the upper and lower templates of optimum matching and its position.

Abstract: A method includes visually displaying an electronically formatted medical report, wherein the electronically formatted medical report references a set of electronically formatted images, acquiring the set of electronically formatted images, and linking the electronically formatted medical report and the set of electronically formatted images. A computing apparatus (102), includes a memory (108) with at least one computer readable instruction (106) and a processor (104) that executes the at least one computer readable instruction. The processor, in response to executing the at least one computer readable instruction, visually displays an electronically formatted medical report, wherein the electronically formatted medical report references a set of electronically formatted images, acquires the set of electronically formatted images, and links the electronically formatted medical report and the set of electronically formatted images.

Abstract: In a test for supporting diagnosis of periodontal disease, a test method, whose measurement result has reproducibility and can be an objective index, is achieved and the loss of a tooth is predicted by use of the obtained objective index. A periodontal disease diagnosis supporting device supports diagnosis of periodontal disease by use of a captured three-dimensional image of a tooth part. The device includes a tooth root adhesion degree measuring part for measuring a degree of adhesion between a tooth root and alveolar bone by use of the image. The device further includes a periodontal disease diagnosis supporting part for supporting diagnosis of periodontal disease by use of a measurement result of the measuring part.

Abstract: A system and method for segmenting an image stream to a plurality of segments is provided. A processing unit may be configured to calculate a set of pixel-based properties for frames of an image stream, and detect segments of constant mean values in the sets of pixel-based properties. The segments of constant mean values are detected by using a window method that determines possible partition points of the window, and calculating a difference between mean values of the sets of pixel-based properties for each sub-window of frames. Points of change may be identified in the calculated difference between mean values of the sets of pixel-based properties. A display unit may display a summarized representation of the image stream, wherein the summarized representation includes a plurality of segments, each segment corresponding to a segment of constant mean values in the sets of pixel-based properties.

Abstract: A system, method, and non-transitory computer-readable medium.

Abstract: A system and method for identifying an unknown person based on a static posture of the unknown person is described. The method includes receiving data of N skeleton joints of the unknown person from a skeleton recording device. The method further includes identifying the static posture of the unknown person. The method includes dividing a skeleton structure of the unknown person in a plurality of body parts based on joint types of the skeleton structure. In addition, the method includes extracting feature vectors for each of the joint type from each of the plurality of body parts. The method further includes identifying the unknown person based on comparison of the feature vectors for the unknown person with one of a constrained feature dataset and an unconstrained feature dataset for a plurality of known persons.