Abstract: An integrated circuit for an imaging system is disclosed. In one aspect, an integrated circuit has an array of optical sensors, an array of optical filters integrated with the sensors and configured to pass a band of wavelengths onto one or more of the sensors, and read out circuitry to read out pixel values from the sensors to represent an image. Different ones of the optical filters are configured to have a different thickness, to pass different bands of wavelengths by means of interference, and to allow detection of a spectrum of wavelengths. The read out circuitry can enable multiple pixels under one optical filter to be read out in parallel. The thicknesses may vary non-monotonically across the array. The read out, or later image processing, may involve selection or interpolation between wavelengths, to carry out spectral sampling or shifting, to compensate for thickness errors.

Abstract: An imaging apparatus comprising: a dark image data imaging section that obtains dark image data in a state in which light beams entering an imaging surface of an image sensor are shielded before first image data is obtained or after second image data obtained lastly; and a correcting section that corrects a fixed pattern noise in cumulative relatively bright composite image data by using the dark image data, wherein the correcting section corrects the fixed pattern noise in the cumulative relatively bright composite image data by using the dark image data obtained at a time closest to the time in a temperature of the image sensor when the first image data or the second image data is obtained is assumed to be the highest, of the dark image data obtained before the first image data is obtained or the dark image data obtained after the second image data obtained lastly.

Abstract: An image processing apparatus includes an acquiring unit and an image processing unit. The acquiring unit acquires a radiographic image acquired by irradiating a radiation on an object and a scattered-ray component contained in the radiographic image, wherein the scattered-ray component originates from a scattered ray which is a radiation scattered in the object. The image processing unit performs an image process on the radiographic image in accordance with an instruction, wherein the image processing unit performs an image process based on a radiographic image acquired by the acquiring unit and a scattered-ray component acquired by the acquiring unit in a case where an instruction to perform the image process is received again.

Abstract: An image processing apparatus including an interface that receives an input identifying a subject, and a processor that controls a display to display information indicating a position of the subject in a graphic representation corresponding to a panoramic image based on an orientation of a device capturing image data for generating the panoramic image.

Abstract: A system for processing breast tissue images includes an image processing computer and a user interface operatively coupled to the image processing computer, wherein the image processing computer is configured to obtain image data of breast tissue, processing the image data to generate a set of reconstructed image slices, the reconstructed image slices collectively depicting the breast tissue, process respective subsets of the reconstructed image slices to generate a set of image slabs, each image slab comprising a synthesized 2D image of a portion of the breast tissue obtained from a respective subset of the set of reconstructed image slices.

Abstract: Technology is described for generating a design for a dental restorative product from one or more dental images of a patient. The method can include obtaining a three-dimensional (3D) image of dentition of the patient prior to a change in dentition of the patient; and then determining the change in dentition of the patient. A design of a dental restorative product can be automatically generated for at least one tooth of the patient based on the 3D image of dentition prior to the change in dentition. Various other computer-implemented methods, systems, and computer-readable media are also disclosed.

Abstract: An analysis method is provided that ensures objective and quantitative analysis for analyzing time-series images.

Abstract: Systems and methods for designing and generating a device using accuracy maps and stability analysis are disclosed herein. In some aspects, the systems and methods described relate to an apparatus for designing a device. The apparatus includes a processor configured to generate a three-dimensional model of a physical object and determine whether the three-dimensional model satisfies an accuracy threshold based on an accuracy map. The processor is further configured generate a simulated representation of the device, determine whether the simulated representation of the device satisfies a stability threshold, simulate a fit of the device on the three-dimensional model if the simulated representation of the device satisfies the stability threshold, and determine whether the simulated fit of the device on the three-dimensional model is within a tolerance threshold. The processor is further configured to generate an approved design of the device if the simulated fit is within the tolerance threshold.

Abstract: A mucosal dose control radiotherapy apparatus using magnetic fields includes: a radiation generator irradiating radiation toward a tumor region of a patient; a magnetic field generator forming a magnetic field in a body of the patient; and a controller controlling a radiation dose transmitted from the radiation generator to the tumor region of the patient by adjusting a direction and a strength of the magnetic field of the magnetic field generator.

Abstract: A system for analyzing wound status is provided. The system includes an image obtaining device and an image analyzing device. The image obtaining device is configured to obtain a plurality of infrared (IR) images which are photographed from a wound of a user's body portion, wherein the plurality of IR images are photographed at different time. The image analyzing device is configured to align the plurality of IR images based on features of non-wound regions from the plurality of IR images, and then analyze wound image regions from the plurality of IR images for finding out variations of the wound.

Abstract: A method and apparatus for automatically performing medical image analysis tasks using deep image-to-image network (DI2IN) learning. An input medical image of a patient is received. An output image that provides a result of a target medical image analysis task on the input medical image is automatically generated using a trained deep image-to-image network (DI2IN). The trained DI2IN uses a conditional random field (CRF) energy function to estimate the output image based on the input medical image and uses a trained deep learning network to model unary and pairwise terms of the CRF energy function. The DI2IN may be trained on an image with multiple resolutions. The input image may be split into multiple parts and a separate DI2IN may be trained for each part. Furthermore, the multi-scale and multi-part schemes can be combined to train a multi-scale multi-part DI2IN.

Abstract: A borderline extraction element 15 extracts a borderline B of adjacent vertebrae from an X-ray image on which multiple vertebrae are projected connected in a line. A vertebral area setting element 17 sets a area sandwiched by the adjacent borderlines B as a vertebral area and an area number is put to the respective vertebral areas L. When the vertebral areas are erroneously set up, a setup data erase element 21 erases the data of the vertebral areas L and the area number when the borderline is corrected. The setup data are erased, so that the borderline B can be shift-corrected to any location. A vertebral area setting element 17 resets the vertebral area L based on the location of the corrected borderline. Accordingly, the respective vertebral areas L are set up to the accurate locations and only the borderline B extracted to the wrong location is shift-corrected and the vertebral areas are reset. The work-burden to the operator for setting the vertebral area can be largely lessened.

Abstract: A method for processing an image of pixels is described. The method includes determining a plurality of features representative of the image, obtaining both information representative of a probability of presence of an object in the image and information representative of a shape of the object by implementing a unique multivariate regression applied to at least a part of the features.

Abstract: An embodiment relates to a method for generating a virtual X-ray projection of at least one body region of a patient to be imaged with an X-ray imaging device, a machine-readable data carrier and/or an X-ray imaging device. The method includes acquiring at least one projection data set representing the at least one body region of the patient to be imaged; reconstructing an image data set from the at least one projection data set, the image data set representing local X-ray attenuation values in the at least one body region; replacing at least one local X-ray attenuation value by a modified X-ray attenuation value; forward projecting the modified image data set onto a virtual X-ray radiation detector; calculating intensity values for a plurality of detector elements from the modified projection data set; transforming the calculated intensity values into scan values; and assigning the scan values to an image matrix.

Abstract: A method for processing image data of a sample is disclosed. The method comprises registering a first and a second images of at least partially overlapping spatial regions of the sample and processing data from the registered images to obtain integrated image data comprising information about the sample, said information being additional to that available from said first and second images.

Abstract: A non-transitory computer readable storage medium that stores a program for image processing that causes a computer to execute a process including: detecting a change in a lung based on a plurality of images of the chest scanned at different times, the change in the lung indicating that each position of each part of the lung changes toward a specified position of the lung, and outputting the change of the lung.

Abstract: There is provide a medical image processing apparatus, a medical image processing method, and a medical image processing program that can accurately specify at least either vertebral bodies or intervertebral discs included in the vertebra even if parts of the vertebral bodies and the intervertebral discs are deformed. A candidate detection unit detects intervertebral disc candidates and vertebral body candidates from a medical image, and a centerline detection unit detects a spine centerline. A distribution generation unit generates the distribution of a feature amount indicating the intervertebral disc likeness and a feature amount indicating the vertebral body likeness on the spine centerline. A specification unit specifies at least either the intervertebral discs or the vertebral bodies included in the medical image based on the distribution.

Abstract: A Computer-Aided Diagnosis (CAD) apparatus may include: an image receiver configured to receive consecutive medical images; an image analyzer configured to divide the received consecutive medical images into sequence groups by a predetermined number, separate images in a sequence group, among the sequence groups, into a first image group and a second image group, and perform parallel analysis on the first image group and the second image group; and a display configured to output on a screen a result of the analyzing of the first image group and the second image group.

Abstract: The present disclosure relates to a method and a system for image segmentation, the technique includes: obtaining a lung image and a lung model based on a plurality of chest image samples in a training set; pre-processing a lung image; acquiring a binary image of boundaries of the lung image; performing the generalized Hough transform on the binary image to locate initial boundaries of the lung image and obtain a Hough location; aligning the lung model to Hough location to obtain an alignment result; applying dynamic programming algorithm to the alignment result to obtain a segmentation result; and transforming the segmentation result back to the original coordinate system.

Abstract: Data of a predetermined volume portion of an object under examination is captured by an x-ray system that includes an x-ray source and a detector. The x-ray source is activated to generate x-rays that emerge from the x-ray source, radiate through the volume portion, and after radiating through, impinge on the detector. X-rays impinging on the detector are captured pixel by pixel, in order to capture the data of the predetermined volume portion. With the pixel-by-pixel capture, only a subset of all the pixels of the detector is evaluated.

Abstract: Systems and methods for storing data for a first time series of fluorescence images of the subject acquired during a first imaging session, storing data for a second time series of fluorescence images of the subject acquired during a second imaging session, receiving a request to view attributes of the subject, and in response to receiving the request, displaying a user interface on the display, the user interface comprising a first image showing a visually enhanced attribute of the subject, wherein the first image is generated from the data for the first time series of fluorescence images, and a second image showing the visually enhanced attribute of the subject, wherein the second image is generated from the data for the second time series of fluorescence images.

Abstract: Provided is a method of correcting a defective pixel of a digital image. In the method, the defective pixels are pre-corrected. The similarities of normal pixels and each defective pixel are calculated. The weight of each normal pixel to each defective pixel is calculated based on the similarities of the normal pixels and each defective pixel. The weight of each normal pixel to each defective pixel is normalized. The normalized weighted values of the normal pixels to each defective pixel are weighted summed to obtain the corrected pixel value of each defective pixel.

Abstract: A method and device for determining a boundary associated with image data captured by an electronic device is provided. The electronic device may include a camera. In one aspect, a method includes: capturing the image data using the camera; based on the captured image data, detecting a boundary marker displayed by a display device, the boundary marker is periodically displayed to be undetectable by a human eye that is viewing the display device; and modifying, based on the boundary marker, image data captured by the camera.

Abstract: A camera system captures an image in a source aspect ratio and applies a transformation to the input image to scale and warp the image to generate an output image having a target aspect ratio different than the source aspect ratio. The output image has the same field of view as the input image, maintains image resolution, and limits distortion to levels that do not substantially affect the viewing experience. In one embodiment, the output image is non-linearly warped relative to the input image such that a distortion in the output image relative to the input image is greater in a corner region of the output image than a center region of the output image.

Abstract: A 2D mammogram image is synthesized from at least one of tomosynthesis projection images and/or the tomosynthesis reconstructed image data. In a simplest form, the mammogram may be synthesized by selecting one of the tomosynthesis projection images for display as a synthesized mammogram. Other methods of synthesizing a mammogram include re-projecting and filtering projection data and/or reconstructed data. The synthesized mammogram is advantageously displayed together with at least a portion of the reconstructed data to aid in review of the reconstructed data. The present invention thus provides a familiar image which may be used to facilitate review of a tomosynthesis data set.

Abstract: Provided is an apparatus for measuring the thickness, roughness, and morphology index of the mandibular cortical bone using a dental panorama image to assist in the diagnosis of osteoporosis, wherein the thickness, roughness, and morphological index of the cortical bone is measured more accurately and the diagnosis of osteoporosis can be supported more accurately. An osteoporosis diagnostic support apparatus, wherein the apparatus has a contour extraction unit adapted to extract a mandibular contour from an image of a mandibular cortical bone photographed by a photographic apparatus adapted to photograph the mandibular cortical bone and surroundings thereof, a line segment extraction unit adapted to extract line segments from the image of the mandibular cortical bone photographed by the photographic apparatus; and a cortical bone thickness calculation unit adapted to calculate a thickness of the cortical bone based on the extracted mandibular contour and line segments.

Abstract: Presented herein, in certain embodiments, are approaches for robust bone splitting and segmentation in the context of small animal imaging, for example, microCT imaging. In certain embodiments, a method for calculating and applying single and hybrid second-derivative splitting filters to gray-scale images and binary bone masks is described. These filters can accurately identify the split lines/planes of the bones even for low-resolution data, and hence accurately morphologically disconnect the individual bones. The split bones can then be used as seeds in region growing techniques such as marker-controlled watershed segmentation. With this approach, the bones can be segmented with much higher robustness and accuracy compared to prior art methods.

Abstract: A method for presenting radiographic images of a subject obtains, from the same radiographic image capture, at least a first image and a second image, wherein the at least first and second images differ in presentation. The method associates the at least first and second images as companion images according to one or more entered instructions. There is displayed at least a first executable data link that relates to a first storage location of the first image and a second executable data link that relates to a second storage location of the second image. In response to an operator selection of either of or both of the first and second executable data links, the method displays either the corresponding first or second image, or both companion images.

Abstract: A transformed image is received. The transformed image includes an other-than-visible light image that has been captured using a transformation device. A region of the transformed image is isolated, the region being less than an entirety of the transformed image. By applying to the region a convolutional Neural Network (CNN) which executes using a processor and a memory, and by processing only the region of the transformed image, an object of interest is detected in the region. Upon detecting, an indication is produced to indicate the presence of the object of interest in the region.

Abstract: The method of generating multi-parametric nosological images including the steps of obtaining a stack of images; improving such images; reducing the images to a new space of equivalent representation; classifying in an unsupervised manner the units of the images obtained according to a pre-established number of classes without biological interpretation; automatically assigning multi-parametric profiles to the obtained classes; and generating a nosological image through the obtained classes. The system includes an imaging unit; an image processing unit for processing the obtained images and generating therefrom a multi-parametric nosological image; a connection for transmitting the images obtained by the imaging unit to the image processing unit; and a display for displaying the generated multi-parametric nosological image.

Abstract: Image processing techniques may include a methodology for normalizing medical image and/or voxel data captured under different acquisition protocols and a methodology for suppressing selected anatomical structures from medical image and/or voxel data, which may result in improved detection and/or improved rendering of other anatomical structures. The technology presented here may be used, e.g., for improved nodule detection within computed tomography (CT) scans. While presented here in the context of nodules within the lungs, these techniques may be applicable in other contexts with little modification, for example, the detection of masses and/or microcalcifications in full field mammography or breast tomosynthesis based on the suppression of glandular structures, parenchymal and vascular structures in the breast.

Abstract: Spatial segmentation of lymph nodes in a 3-D medical image is automatically determined, based on a set of inputs provided by a user which define a low number of initial conditions for segmentation. In some embodiments, the automation comprises producing a lymph node segmentation from the 3-D image based on a 2-D image slice and a representative line segment on that slice. In some embodiments, segmentation comprises a two tiered approach (2-D segmentation, followed by 3-D segmentation) based on adaptation of the level set framework to the particular conditions of lymph node segmentation.

Abstract: A method for early recognition of bone and joint diseases, such as osteoarthritis, by radiographic analysis, in which a digital radiographic image of the bone in the area of the joint head and/or joint socket is taken and the fractal dimension of at least one image zone is determined, and a bone structural value is calculated on the basis of the fractal dimension of the at least one image zone and used for assessing the state of health of the joint is disclosed.

Abstract: A radiographing apparatus includes a correction data acquiring unit configured to acquire, by image data obtained by photography in a predetermined photographing mode, offset correction data corresponding to the photographing mode, and a correction data update unit configured to update the offset correction data corresponding to the photographing mode by using a predetermined number of pieces of the image data, wherein the correction data update unit further is configured to adjust the number of pieces of the image data according to the photographing mode.

Abstract: A method for analyzing a subject tooth. The method includes obtaining volume image data including at least the subject tooth and segments the subject tooth from within the volume data according to one or more operator instructions. An index is generated that is indicative of a suspected fracture or lesion identified for the segmented subject tooth. The subject tooth is displayed with the suspected fracture or lesion highlighted. The generated index also displays.

Abstract: Disclosed herein are an X-ray imaging apparatus and a control method for the same. The control method for the X-ray imaging apparatus includes acquiring a mask image by irradiating an object with X-rays, determining a movement of the object based on the mask image, generating a plurality of X-ray images of mutually different energy bands when the movement of the object is detected, and generating a single X-ray image of a single energy band when the movement of the object is not detected, and acquiring a blood vessel X-ray image based on the generated X-ray image.

Abstract: A dynamic analysis apparatus may include a setting section which sets a target region in a lung region of a chest dynamic image; a conversion section which calculates a representative value of a pixel signal value in the target region, and converts the pixel signal value; an extraction section which extracts a pulmonary blood flow signal from the image; and a calculation section which calculates a change in the pulmonary blood flow signal, and calculates a feature amount regarding pulmonary blood flow. The setting section may determine a size of the target region based on a size of a body part other than a lung blood vessel, a movement amount of a body part other than the lung blood vessel or subject information of the chest dynamic image, the subject information regarding a subject of the radiation imaging, and the setting section may set the target region.

Abstract: Various methods and systems for weighting material density images based on the material imaged are disclosed. In one embodiment, a method for dual energy imaging of a material comprises generating an odd material density image, generating an even material density image, applying a first weight to the odd material density image and a second weight to the even material density image, and generating a material density image based on a combination of the weighted odd material density image and the weighted even material density image. In this way, the image quality may be improved without increasing a radiation dosage.

Abstract: A subject image is acquired. Model information, in which a model image captured by irradiating each of a plurality of models different from the subject with radiation is associated with a body thickness distribution of the model in the model image is acquired for each of the plurality of models. Characteristic information indicating characteristics of the subject image is acquired. Characteristic information indicating the characteristics of each of the plurality of model images is acquired, on the basis of the plurality of model information items. The model image having characteristic information similar to the characteristic information of the subject image is specified. The body thickness distribution associated with the specified model image is determined as the body thickness distribution of the subject image.

Abstract: In image data obtained, the radius and the ulna, and interosseous soft tissue between two bones are identified. A midpoint (Ygk) of the length of the interosseous soft tissue in a Y axis direction in (Xk) coordinates is determined. This midpoint is determined in multiple coordinates, and an approximate straight line of these midpoints is determined and set as a reference line. The foot of the perpendicular from the ulna styloid process to the reference line is set as a reference position. A region of interest is set in a position at a predetermined distance from the reference position along the reference line.

Abstract: A medical image processing apparatus according to an embodiment includes setting circuitry, calculation circuitry, and recognition circuitry. The setting circuitry is configured to set a region of interest (ROI) of each of a plurality of sagittal plane images of medical images resulting from scanning an examinee. The calculation circuitry is configured to calculate an evaluation index based on a bipolarity feature of each block in the ROI related to change of pixel values and a similarity feature among the blocks. The recognition circuitry is configured to select the ROI according to the calculation result of the calculation circuitry and recognize a sagittal plane image in which the selected ROI is located as a target sagittal plane image of a median sagittal plane passing through a spine.

Abstract: A device and a method of controlling the device are provided. The method includes detecting a mobile device within a distance from the device, receiving user configuration information from the mobile device, and performing an operation of the device based on the user configuration information.

Abstract: According to one embodiment, an image interpretation report creating apparatus that creates an image interpretation report including a finding and is associated with a key image, includes a key image selecting unit, a position detecting unit, a first local structure information generating unit, and a display. A key image selecting unit selects a sub-image as the key image from among a plurality of sub-images comprising a medical image. A position detecting unit detects a position of a characteristic local structure in a human body from the medical image. A first local structure information generating unit identifies a local structure in the key image or in a vicinity of the key image and generates information on the identified local structure as first local structure information. A display displays the first local structure information as a candidate to be entered in an entry field for the finding.

Abstract: An image processing method provides a step of detecting the pedicle region of vertebral arch detects the region having the higher pixel value compared to the periphery thereof is detected by classifying three classes ABC (detection of the pedicle of vertebral arch) of the step S2. Then, in the case of a failure to detect the intervertebral region, e.g., when the intervertebral region is crushed, the boundary, contacting to the cervical vertebra side of the pedicle of vertebral arch detected by the step of classifying three classes ABC (detecting the pedicle of vertebral arch) described above is drawn by classifying ABC three classes (drawing the boundary) of the step S2. Accordingly, even when the intervertebral region is crushed or when the intervertebral region is undetectable, the boundary between the vertebral bodies can be detected accurately.

Abstract: Provided is a volume rendering method including: obtaining 3-dimensional (3D) volume data of an object; setting a parameter of a first voxel included in the 3D volume data as a first value, and a parameter of a second voxel included in the 3D volume data as a second value; and performing rendering by applying the first value to the first voxel and the second value to the second voxel.

Abstract: Provided is a technology which enables early removal from a tracking target of an object unnecessary to be tracked and which, together therewith, when the tracking target is temporarily in a state of being not detected, enables continuous tracking of the relevant tracking target without removing it from the tracking target. A detection unit 2 detects, as a tracking candidate, an object included in an image by using image processing. A corresponding degree calculation unit 3 calculates a corresponding degree which is index representing a probability that the detected tracking candidate corresponds to the tracking target registered as an object to be tracked. When having determined that it is unnecessary to track the tracking target based on an evaluation value calculated by using the corresponding degree, a decision unit 4 deletes the registration of the object to be tracked with respect to the relevant tracking target.

Abstract: Methods, systems and platforms for digital imaging of multiple regions of an array, and detection and counting of the labeled features thereon, are described.

Abstract: Systems, methods, and computer program products that enable calculating the water equivalent diameter of an exposed subject by defining a patient object using anterior/posterior (AP) and lateral (LAT) scout images are provided. Pixels corresponding to air in the LAT and AP scout image are determined. Pixels outside the of the air area belong to either to the patient or the table. The table for both the LAT and AP scout images is identified. The remaining pixels in the LAT AP scout images are from the patient. For each segmented object (patient or table) the boundaries of the segmented object are identified and the attenuations within the segmented boundaries are computed. The final shape and attenuation values of the patient is stored and the size-specific dose estimate (SSDE) is calculated. The water equivalent diameter value is normalized by using the technical acquisition parameters provided by the acquisition device.

Abstract: Features are disclosed for processing composite images. Composite images may be received that include a common item such as a t-shirt with different graphics overlaid on the item. Features for determining the quality of composite images based on processing the image data are provided. Detection of a region that the overlaid graphic covers provides a targeted location for analyzing the underlying image. A quality metric may be determined based on whether, which, and how many features of the item shown in the underlying image are obscured or otherwise modified by the overlaid image.

Abstract: A method and apparatus for generating an X-ray image are provided. The method includes obtaining an X-ray image of an object, performing image analysis on a tissue of interest in an area other than an interference target region in the obtained X-ray image, and performing image processing on an entirety of the obtained X-ray image based on information on the analyzed tissue of interest and generating a final X-ray image.