Abstract: Systems and methods for segmenting a nerve in a three-dimensional image volume obtained with a magnetic resonance imaging (“MRI”) system are provided. A three-dimensional image volume that depicts a nerve and surrounding anatomical structures is provided and from that image volume the nerve is segmented. In general, a curved multiplanar reformatting (“CMPR”) process is utilized to mark, segment, and then display the nerve in three dimensions.

Abstract: Disclosed herein are methods and systems for generating a fingerprint for verification of a reference object, such as a layer or ply during a composite laminate layup procedure. An exemplary method includes generating a plurality of images of the reference object from a plurality of angles, removing at least one lighting effect from at least one reference image to generate at least one processed image, generating a reference fingerprint for the reference object based on the at least one processed image, generating at least one candidate image of a candidate object, generating a candidate fingerprint for the candidate object based on the at least one candidate image, comparing the candidate fingerprint and the reference fingerprint to determine whether a correlation exists between the candidate fingerprint and the reference fingerprint, and generating an alert based on the comparison of the candidate fingerprint and the reference fingerprint.

Abstract: Certain embodiments provide a computer system for determining a registration mapping between a novel medical image and a reference medical image, the computer system comprising: a storage system adapted to store data representing the novel medical image and the reference medical image and variance data for a plurality of different locations in the reference medical image representing a statistical variation for corresponding locations identified in a plurality of training medical images; and a processor unit operable to execute machine readable instructions to determine a registration mapping between the novel medical image and the reference medical image in a manner that takes account of the variance data for the plurality of different locations in the reference medical image.

Abstract: A method for identifying reference points in a hand drawing track with a number (n) of dots includes marking a first one of the dots as a reference point; for each of a (kth) one of the dots, determining an included angle; marking the (kth) one of the dots as a reference point when the included angle associated therewith is larger than a predetermined angle; calculating an accumulated distance between the (kth) one of the dots and a last one of the reference point (s) thus marked when the included angle is not larger than the predetermined angle; and marking the (kth) one of the dots as a reference point when it is determined that the accumulated distance thus calculated is larger than the predetermined distance, 2?k?(n?1).

Abstract: A calibration method for an MPI (=magnetic particle imaging) apparatus for conducting an MPI experiment, wherein the calibration method comprises m calibration MPI measurements with a calibration test piece and uses these measurements to create an image reconstruction matrix with which the signal contributions of N voxels within an investigation volume of the MPI apparatus are determined, wherein compressed sensing steps are applied in the calibration method with a transformation matrix that sparsifies the image construction matrix, and wherein only a number M<N of calibration MPI measurements for M voxels are carried out, from which the image reconstruction matrix is created and stored. This specifies an efficient method for determination of the system matrix for the MPI imaging method, which does not require much time to determine an MPI system function and nevertheless achieves a high degree of precision.

Abstract: Various aspects of a system and a method are provided for detection of objects in motion are disclosed herein. In accordance with an embodiment, the system includes an electronic device, which computes a first motion vector based on a difference of pixel values of one or more pixels in a current frame with respect to a previous frame. The current frame and the previous frame comprises at least an object in motion. The system further computes a second motion vector by use of motion-based information obtained from a sensor in the electronic device. The system determines validation of the first motion vector based on the second motion vector and one or more criteria and extracts the object in motion from the current frame based on the determined validation of the first motion vector.

Abstract: Methods and systems of analyzing retinal nerve fiber layer for detecting glaucoma and/or other retinal nerve fiber indicated eye conditions include collecting retinal nerve fiber layer image data, segmenting the retinal nerve fiber layer image data by removing retinal nerve fiber layer image data below a threshold thickness value, determining an area or a volume of the thickness of the retinal nerve fiber layer in the retinal region of interest; and determining a severity of the glaucoma and/or at least one other retinal nerve fiber indicated eye condition for the subject.

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: Biometric data are obtained from biometric sensors on a stand-alone computing device, which may contain an ASIC, connected to or incorporated within it. The computing device and ASIC, in combination or individually, capture biometric samples, extract biometric features and match them to one or more locally stored, encrypted templates. The biometric matching may be enhanced by the use of an entered PIN. The biometric templates and other sensitive data at rest are encrypted using hardware elements of the computing device and ASIC, and/or a PIN hash. A stored obfuscated PassWord is de-obfuscated and may be released to the authentication mechanism in response to successfully decrypted templates and matching biometric samples. A different de-obfuscated password may be released to authenticate the user to a remote or local computer and to encrypt data in transit. This eliminates the need for the user to remember and enter complex passwords on the device.

Abstract: Methods, systems, and computer program calibrate a vision system. An image of a human gesture is received that frames a display device. A boundary defined by the human gesture is computed, and gesture area defined by the boundary is also computed. The gesture area is then mapped to pixels in the display device.

Abstract: A line-of-movement generating apparatus includes an acquisition unit, a detection unit, an extraction unit, a setting unit, a calculation unit, and a confirmation unit. The acquisition unit acquires images captured by an image capturing device at respective multiple time points. The detection unit detects one or more moving objects from the images. The extraction unit extracts a line of movement of each of the detected one or more moving objects. The setting unit sets a region where a line of movement tends to have a missing portion in an image captured by the image capturing device. The calculation unit calculates a likelihood indicating a degree of certainty of the extracted line of movement of each of the one or more moving objects. The confirmation unit confirms a line of movement of the one or more moving objects on the basis of the calculated likelihood.

Abstract: Geographic atrophy of the eye can be detected and measured by imaging the eye at a depth greater than the retinal pigment epithelium (RPE) at a plurality of locations of the eye, for example, using optical coherence tomography (OCT); determining a ratio of the intensities of imaging signals of a retinal layer(s) with respect to the intensity of imaging signals of a sub-RPE layer(s) at each location; determining representative values based at least in part on the determined ratios; generating a map of the representative values; and identifying diseased areas from the map. Contours and binary maps may be generated based on the identified diseased areas. The size and shape of the identified areas may be analyzed and monitored over a period of time.

Abstract: According to one embodiment, a medical image processing apparatus, includes: a first acquisition unit; a second acquisition unit; and a part-removed image generation unit, wherein the first acquisition unit is adapted to acquire a first radiograph that is a virtual radiograph generated to have a specified part or a predetermined part, among parts included in volume data indicative of a three-dimensional structure of an inside of a body of a patient, being emphasized, the second acquisition unit is adapted to acquire a second radiograph of the inside of the body of the patient, and the part-removed image generation unit is adapted to generate a part-removed image by removing the specified or predetermined part or parts other than the specified or predetermined part from the second radiograph with reference to the first radiograph.

Abstract: In a medical imaging system and an operating method therefor, in order to simplify the operation of the medical imaging system, a framework condition for the creation of image information is selected on the basis of one or more acquisition sequences, and a computer of the imaging system automatically preselects multiple parameter sets for the at least one acquisition sequence as a function of the selected framework condition. For each of the preselected parameter sets, at least one characteristic from the acquisition sequence or from image information assigned to the acquisition sequence is visually presented. A parameter set is selected on the basis of the presented characteristic.

Abstract: According to an embodiment, an X-ray computed tomography (CT) apparatus includes processing circuitry. The processing circuitry is configured to acquire projection data that is based on a spectrum representing an amount of X-rays with respect to energy of a radiation having passed through a subject; select a plurality of materials; generate, from the projection data, first density images for each of the selected materials; generate a monochromatic image of specific energy from the first density images; reconstruct the projection data corresponding to the specific energy to generate a reconstructed image; compare the monochromatic image and the reconstructed image; and provide a notification indicating a result of the comparison.

Abstract: Computerized information processing methods for processing data from a medical device, such as an ingestible probe. In one embodiment, the method includes processing data obtained by the probe so as to produce a plurality of image frames, and further processing the frames to identify a plurality of frames of potential interest to a reviewer, and using the identified frames to form a preview of the entire data set. In one implementation, the processing of the data includes identification of one or more artifacts or shapes within the data associated with a medical condition, and selection of the frames for the preview includes those frames with the identified artifacts or shapes.

Abstract: A method and a system for processing electronic documents are provided. The method includes displaying a first image. The first image includes one or more portions. The one or more portions are associated with metadata. A first portion of the one or more portions of the first image is selected. Upon selection of the first portion, at least one subsequent image is displayed based on a first selection. The subsequent images also include one or more portions associated with metadata. One or more subsequent portions of the at least one subsequent image is selected. Upon selecting the portions of the first image and the subsequent image, one or more electronic documents corresponding to the selections are retrieved.

Abstract: An image processing apparatus according to an embodiment includes processing circuitry. The processing circuitry selects from a plurality of diffusion-weighted images with different applied directions of a motion probing gradient magnetic field pulse or different diffusion sensitive coefficients, a diffusion-weighted image that conforms to a predetermined condition. The processing circuitry configured to register the selected diffusion-weighted image with a reference image for which the diffusion sensitive coefficient being set to a reference value to correct the selected diffusion-weighted image. The processing circuitry configured to register the corrected diffusion-weighted image with each of the other diffusion-weighted images of the plurality of diffusion-weighted images to correct each of the other diffusion-weighted images.

Abstract: Content creation and licensing control techniques are described. In a first example, a content creation service is configured to support content creation using an image along with functionality to locate the image or a similar image that is available for licensing. In another example, previews of images are used to generate different versions of content along with an option to license images previewed in an approved version of the content. In a further example, fingerprints are used to locate images used as part of content creation by a content creation service without leaving a context of the service. In yet another example, location of licensable versions of images is based at least in part on identification of a watermark included as part of an image. In an additional example, an image itself is used as a basis to locate other images available for licensing by a content sharing service.

Abstract: A medical image processing apparatus according to an embodiment includes processing circuitry. The processing circuitry implements registration on a medical image and each of a plurality of reference images. The processing circuitry performs deformation on the medical image based on a result of the registration. The processing circuitry sets a first region of interest on the deformed medical image. The processing circuitry sets on at least two of the plurality of reference images, a second region of interest corresponding to the first region of interest. The processing circuitry retrieves from the reference images on which the second region of interest is set, a reference image similar to an image in the first region of interest.