Abstract: A system for automated conversion and delivery of medical images. In an example implementation, a server is configured to retrieve a medical image file including medical data and metadata, in a medical data format, determine an output destination type based on the metadata, identify standardized format specifications based on the determined output destination type from the retrieved metadata, convert the medical data into a format compatible with the identified standardized format, and transmit an output message of the converted medical data to at least a recipient delivery address.

Abstract: Described herein is a platform and supported graphical user interface (GUI) decision-making tools for use by medical practitioners and/or their patients, e.g., to aide in the process of making decisions about a course of cancer treatment and/or to track treatment and/or the progress of a disease.

Abstract: A system for automated conversion and delivery of medical images. In an example implementation, a server is configured to retrieve a medical image file including medical data and metadata, in a medical data format, determine an output destination type based on the metadata, identify standardized format specifications based on the determined output destination type from the retrieved metadata, convert the medical data into a format compatible with the identified standardized format, and transmit an output message of the converted medical data to at least a recipient delivery address.

Abstract: Methods, systems, and devices described herein enable single-image optical sectioning, even at depth within turbid media, such as human skin or other tissue. Embodiments can eliminate the need for multiple image samples or raster scans, making in-vivo or live biological imaging easier and faster than multi-image sectioning techniques. Better contrast and resolution than traditional three-phase structured illumination microscopy (SIM) is possible in turbid media. Embodiments enable imaging of cell nuclei. Resolution and contrast resulting from disclosed embodiments are less sensitive to motion of or within patients or other targets than confocal microscopy and three-phase SIM techniques. Three-dimensional images of target specimens can be provided based on a group of single-image optical sections. Real-time imaging can also be provided.

Abstract: [Problem] Provided is an image processing apparatus and program that are able to suppress ringing caused in image data having increased image quality while considering the sharpness of the image data. [Solving Means] An image processing apparatus includes a ringing incidence estimation unit configured to estimate an incidence of ringing representing a probability that ringing will occur, on the basis of input image data, a sharpness estimation unit configured to estimate a sharpness emphasis level representing intensity of sharpness of an input image represented by the input image data, on the basis of the input image data, and an adjuster configured to perform an adjustment process to suppress a level of image conversion on each pixel in converted image data obtained by performing the image conversion on the input image data, on the basis of the incidence of ringing and/or the sharpness emphasis level.

Abstract: The present invention relates to apparatus for automatic quantification of a part of vascular structure. It is described to provide (12) at least one first image comprising a spatial representation of a region of interest of a vascular structure, wherein the at least one first image comprises image data representative of a location of a part of a medical device. The medical device is configured to be used in a vascular treatment, and the part of the medical device is configured to be in a plurality of states associated with different phases of the vascular treatment. At least one second image comprising a spatial representation of the region of interest of the vascular structure is provided (14), wherein the at least one second image comprises image data representative of at least a part of the vascular structure in a visible and distinct manner.

Abstract: A method and an X-ray detector are for correcting a spatially resolved photon scan of the X-ray detector. In an embodiment, the X-ray detector includes processing circuitry configured to: generate, from an incident X-ray photon, a signal contribution in a first electrical signal in a spatially resolved manner, a reference value being defined by an absence of X-ray photons; resolve, in relation to the reference value, positive signal contributions of the first electrical signal and negative signal contributions of the first electrical signal; and provide the positive signal contributions resolved and the negative signal contributions resolved for further processing.

Abstract: The present invention is an improvement to a computer system for processing, storing and searching DICOM medical imaging objects and non-DICOM files. The improvement is the addition of a directory manager, a user interface and a search manager that allows users to define a hierarchy of directories that link to both DICOM and non-DICOM files. Contents of files are indexed, including metadata so they are searchable. The system automatically creates directories representing DICOM series and studies by analyzing metadata in DICOM image files DICOM devices can send DICOM data directly to directories in the file system using the DICOM protocol.

Abstract: A method, and an according apparatus and system, for analyzing medical images of blood vessels includes the steps of a) classifying a surrounding of at least one vessel represented in at least one medical image by applying a first classifier to the medical image such that the surrounding of the vessel is assigned to one of at least two surrounding classes, and b) segmentation of the at least one vessel dependent on the surrounding class to which the surrounding of the vessel has been assigned. The invention allows for a reliable segmentation and/or shape detection, in particular bifurcation detection, of blood vessels represented in medical images.

Abstract: An image processing apparatus includes: an image acquisition unit that acquires a plurality of endoscope images obtained by imaging an observation target at different times with an endoscope; a blood vessel extraction unit that extracts blood vessels from the plurality of endoscope images; a blood vessel index value calculation unit that calculates a blood vessel index value for each of the blood vessels extracted from the endoscope images; a temporal change calculation unit that calculates a temporal change of the blood vessel index value; a determination unit that determines a state of a mucous membrane of the observation target using the temporal change of the blood vessel index value; and a monitor that displays a determination result of the determination unit.

Abstract: An image generation method is described, comprising obtaining a plurality of 2D images through an object to be imaged, obtaining a 3D image data set of the object to be imaged, and registering the 2D images with the 3D image data set. The method then further includes defining an image reconstruction plane internal to the object, being the plane of an image to be reconstructed from the plurality of 2D images. Then, for a pixel in the image reconstruction plane, corresponding pixel values from the plurality of 2D images are mapped thereto, and the mapped pixel values are combined into a single value to give a value for the pixel in the image reconstruction plane. Another aspect of the method provides for clutter removal from the image. In a medical imaging context this can provide for “de-boned” images, allowing soft tissue to be more clearly seen.

Abstract: It is proposed a method for post-processing images of an 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 complex 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 complex signal, the plurality of parameters comprising at least two fat characterization parameters, the magnitude error and the phase error generated by the use of the bipolar readout gradients, the fitting technique being a non-linear least-square fitting technique using pseudo-random initial conditions.

Abstract: A mechanism is provided in a data processing system comprising a processor and a memory, the memory comprising instructions that are executed by the processor to specifically configure the processor to implement a medical imaging story board creation engine. The medical imaging story board creation engine executing in the data processing system receives a patient data structure comprising a medical imaging study comprising a plurality of electronic medical images. The medical imaging story board creation engine analyzes the patient data structure to determine a modality of the medical imaging study. The medical imaging story board creation engine determines, based on the determined modality of the medical imaging study, for each electronic image in the medical imaging study, at least one of an image mode or viewpoint.

Abstract: Method and system for managing multiple impressions of a patient's jaw for an orthodontic treatment is provided. The method includes scanning at least a first impression and a second impression of same jaw for the orthodontic treatment; determining if the first jaw impression and the second jaw impression have distortion in different areas; selecting the first jaw impression or the second jaw impression as a base impression; and replacing a distorted tooth data from the base impression with data for the same tooth from a non-base impression. The method also includes scanning at least a first jaw impression for the orthodontic treatment; scanning a bite impression for the orthodontic treatment; matching the scanned first jaw impression with the scanned bite impression; comparing bite information with a tooth occlusal surface; and determining if reconstruction is to be performed on the tooth occlusal surface.

Abstract: A device and method integrates a lesion stager in a reporting tool. The method includes receiving a user input. The user input is image data including at least one variable value. The variable value is indicative of a variable parameter of the image data. The method includes associating each of the at least one variable value with a corresponding variable parameter to generate at least one variable-value pair. The method includes determining a computed output value as a function of select ones of the at least one variable-value pair.

Abstract: A focus detection apparatus and a method thereof are provided. In the method, a medical image is obtained. Size of a target focus and a sliding window are determined, and side length of the sliding windows is at least twice the side length of the target focus. The medical image is scanned through the sliding window, and a stride which the sliding windows moves each time is not greater than the side length of the target focus. At least one area of interest is obtained based on the scan result. Then, the area of interest is identified based on machine learning techniques, and perform candidate aggregation and multiple size aggregation to determine at least one focus position. Accordingly, the computational time and the detection accuracy can be improved.

Abstract: The present application relates to systems and methods used to characterize or verify the accuracy of a tracker comprising optically detectable features. The tracker may be used in spatial localization using an optical sensor. Characterization results in the calculation of a Tracker Definition that includes geometrical characteristics of the tracker. Verification results in an assessment of accuracy of a tracker against an existing Tracker Definition.

Abstract: A first classification unit outputs a plurality of evaluation values indicating the possibility of being each of a plurality of types of case regions for each pixel of a three-dimensional image. Based on selected conversion definition information, a second classification unit converts a first classification result for each pixel of the three-dimensional image based on the plurality of evaluation values, and outputs a second classification result for each pixel of the three-dimensional image.

Abstract: A method and apparatus is provided generate a display image that optimize a tradeoff between resolution and noise by using blending weights/ratio based on the content/context of the image. The blending weights control the relative weights when combining multiple computed tomography (CT) images having different degrees of smoothing/denoising to generate a display image having the optimal tradeoff lying within the continuum between/among the CT images. The blending weights are automated based on information indicating the content/context of the display image (e.g., the segmented tissue type, average attenuation, and the display setting such as window width and window level). Thus, indicia indicating content/context of the image determine the weighting coefficients, which are used in a weighted sum, e.g., to combine the plurality of images with different noise/smoothing parameters into a single blended image, which is displayed.

Abstract: A 2D medical image is colorized. In one approach, a deep-learnt classifier is trained to colorize from color 2D medical images. The color 2D medical images for training are cinematically rendered from slabs to add color. In another approach, a deep machine-learnt generator creates slices as if adjacent to the 2D medical image. The slices and 2D medical image form a slab, which is cinematically rendered to add color. The result is a colorized 2D medical image.

Abstract: Apparatus and methods for characterizing panoramic content, such as by a wide field of view and large image size. In one implementation, a panoramic image may be mapped to a cube or any other projection e.g icosahedron or octahedron. The disclosure exploits content continuity between facets, such as in the case of encoding/decoding cube-projected images. One facet may be encoded/decoded independently from other facets to obtain a seed facet. One or more transformed versions of the seed facet may be obtained; e.g., one corresponding to a 90° counterclockwise rotation, another to a 90° clockwise rotation, and one to an 180° rotation. Transformed versions may be used to form an augmented image. The remaining facets of the cube may be encoded using transformed versions within the augmented image.

Abstract: An image forming apparatus includes: a memory that stores a setting for a first process in association with an identifier; a receiver that receives the identifier, image data, and a request for a second process from a host apparatus capable of requesting the second process but incapable of requesting the first process; and a processor that performs the first process on a basis of the image data according to the setting stored in association with the identifier.

Abstract: A local extension method for segmentation of anatomical treelike structures includes receiving an initial segmentation of 3D image data including an initial treelike structure. A target point in the 3D image data is defined, and a region of interest based on the target point is extracted to create a sub-image. Highly tubular voxels are detected in the sub-image, and a spillage-constrained region growing is performed using the highly tubular voxels as seed points. Connected components are extracted from the results of the region growing. The extracted components are pruned to discard components not likely to be connected to the initial treelike structure, keeping only candidate components likely to be a valid sub-tree of the initial treelike structure. The candidate components are connected to the initial treelike structure, thereby extending the initial segmentation in the region of interest.

Abstract: Disclosed herein is a non-invasive system for determining tissue composition. The system comprises an imaging system with a non-invasive probe, a signal analyzer, and a correlation processor. The probe includes active imaging components for emitting energy and collecting imaging data including reflected signals from an object of interest. The signal analyzer analyzes the imaging data and determines one or more signal properties from the reflected signals. The correlation processor then associates the one or more signal properties to pre-determined tissue signal properties of different tissue components through a pattern recognition technique wherein the pre-determined tissue signal properties are embodied in a database, and identifies a tissue component of the object based on the pattern recognition technique.

Abstract: For soft tissue deformation prediction, a biomechanical or other tissue-related physics model is used to find an instantaneous state of the soft tissue. A machine-learned artificial neural network is applied to predict the position of volumetric elements (e.g., mesh node) from the instantaneous state. Since the machine-learned artificial neural network may predict quickly (e.g., in a second or less), the soft tissue position at different times or a further time given the instantaneous state is provided in real-time without the minutes of physics model computation. For example, a real-time, biomechanical solver is provided, allowing interaction with the soft tissue model, while still getting accurate results. The accuracy allows for generating images of a soft tissue with greater accuracy and/or the benefit of user interaction in real-time.

Abstract: The invention provides, in some aspects, a system for implementing a rule derived basis to display volumetric image sets. In various embodiments of the invention, the selection of the images to be displayed, the generation of the 3-D volumetric image from measured 2-D images including the rendering parameters and styles, the choice of viewing directions and 2-D projection images based on the viewing directions, the layout of the projection images, and the formation of a video can be determined using a rule derived basis. In an embodiment of the present invention, the user is presented with sequential images making up a video displayed based on their preferences without having to first manually adjust parameters. The present invention allows for novel ways of viewing such images to detect microcalcifications and obstructions when reviewing Digital Breast Tomosynthesis and other volumetric mammography images.

Abstract: Systems and methods for determining a breast region in a medical image are provided. The methods may include obtaining a first image relating to the breast region, determining a first region including a first plurality of pixels in the breast region, determining a second region including a second plurality of pixels relating to an edge of the breast region, and determining the breast region by combining the first region and the second region. The second plurality of pixels may include at least a portion of the first plurality of pixels.

Abstract: A method for simultaneous localization and mapping. The method includes the step of detecting two-dimensional (2D) feature points from a current frame captured by a camera; matching the 2D feature points from the current frame directly to three-dimensional (3D) map points in a 3D map, so as to obtain correspondence between the 2D feature points and the 3D map points; and computing a current pose of the camera based on the obtained correspondence. Each of the 2D feature points and the 3D map points has a feature descriptor. The step of matching is performed by comparing the feature descriptors of the 2D feature points and the feature descriptors of the 3D map points.

Abstract: A method performed by an electronic device is described. The method includes incrementally adding a current node to a graph. The method also includes incrementally determining a respective adaptive edge threshold for each candidate edge between the current node and one or more candidate neighbor nodes. The method further includes determining whether to accept or reject each candidate edge based on each respective adaptive edge threshold. The method additionally includes performing refining based on the graph to produce refined data. The method also includes producing a three-dimensional (3D) model based on the refined data.

Abstract: A PC acquires a plurality of images along a rotating direction of an inspection target with a linear sensor at predetermined time intervals ?TI, extracts position change information representing a change in an on-image position of a pixel having a predetermined feature value or a predetermined pixel value of the acquired images arranged along a time lapse, and generates information on correspondence between the position of the pixel in each of the images and an angle of rotation of the inspection target from the position change information.

Abstract: For Doppler imaging in ultrasound, a single parameter is formed from both power and velocity. In any combination function, a derivative of velocity and/or velocity are combined with power. The resulting value is used to look-up a color from a one-dimensional color map.

Abstract: A method of generating a three-dimensional virtual model of an intraoral object includes capturing, by an imaging apparatus for performing intraoral scans, surface scan data of the intraoral object while changing a position of at least one lens of focusing optics of the imaging apparatus, wherein the surface scan data comprises depth data for a plurality of points of the intraoral object. The method further includes adjusting the depth data for one or more of the plurality of points based at least in part on a value associated with a temperature of at least a portion of the imaging apparatus. The method further includes generating the three-dimensional virtual model of the intraoral object using the adjusted depth data.

Abstract: Method and system for detecting and correcting deviation during an orthodontic treatment plan is provided. The method includes the steps of receiving an un-segmented current teeth image representing a patient's teeth after an orthodontic treatment plan has begun and before the plan ends for the patient; matching a previously segmented teeth model with the current teeth image; and generating at least one corrective stage to define an intermediate tooth arrangement, wherein the at least one corrective stage repositions a digital teeth image so that a prescribed tooth arrangement of the previously segmented teeth model can be used.

Abstract: Evaluation of segmentation of medical imagery is provided. In various embodiments, a candidate segmentation of a medical image of an anatomical feature is received. The candidate segmentation is provided to a first trained classifier. An indication is received from the first trained classifier of the accuracy of the candidate segmentation based on one or more feature of the candidate segmentation. One or more prior segmentation of a prior medical image of the anatomical feature is received. The candidate segmentation and the one or more prior segmentation are provided to a second trained classifier. An indication is received from the second trained classifier of the accuracy of the candidate segmentation based on one or more feature of the one or more prior segmentation.

Abstract: A method of processing a medical image includes acquiring a three-dimensional (3D) medical image indicating a blood vessel and a two-dimensional (2D) medical image indicating the blood vessel, determining a blood vessel area in the 3D medical image corresponding to a partial area of the blood vessel in the 2D medical image, and matching the blood vessel area with the partial area in the 2D medical image.

Abstract: An outpatient surgical center can include a hybrid operating room. The hybrid operating room can include at least one radiation shielded wall, a floor, and a ceiling. The hybrid operating room can also include an imaging device disposed in the hybrid operating room. The hybrid operating room can further include an operating table disposed in the hybrid operating room. A building for the outpatient surgical center can initially be constructed to conform to International Building Code (IBC) Class B standards.

Abstract: An image processing apparatus includes: an obtaining unit configured to obtain a first image of an object and a second image of the object; a difference unit configured to obtain a difference image after the first image and the second image are registered; and a change unit configured to perform processing of changing a pixel value in the difference image based on a likelihood calculated using a pixel value in the first image and a pixel value in the second image.

Abstract: The present technology relates to an information processing device and an information processing method capable of facilitating fixed-point observation on skin condition. The information processing device acquires an image that shows a predetermined feature point of a user who is a measurer of skin condition, and a measurement portion of skin condition, and analyzes the image, and then recognizes a position of the feature point. Furthermore, information indicating the measurement portion is displayed at a predetermined position on the image while setting, as a reference, the recognized position of the feature point. The present technology is applicable to information processing devices such as a tablet terminal, a smartphone, and a personal computer.

Abstract: An arrangement for light sheet microscopy including: a sample vessel, for receiving a medium containing sample, having a covering and being oriented with respect to a planar reference surface; illumination optics with an illumination objective for illuminating the sample with a light sheet; and detection optics with a detection objective. The optical axis of the illumination objective and the light sheet lies in a plane that forms a nonzero illumination angle with the normal of the reference surface. The optical axis of the detection objective forms a nonzero detection angle with the normal of the reference surface. A bulge is formed at the covering for receiving the sample. The bulge has inner and outer interfaces. The optical axes of the illumination objective and detection objective form a minimal angle with the normals of the interfaces at least in the region where the optical axes pass through the interfaces.

Abstract: A computer-implemented method is provided for retrieving an image from a user in a desired format and for detecting a compression efficiency for the image. When the compression efficiency is above a pre-selected threshold the computer-implemented method includes obtaining a saliency representation of the image, capturing a feature description of a non-salient portion of the image, flattening the non-salient portion in a new image, storing the new image in a selected format in a memory and storing a background descriptor for the image in the memory.

Abstract: Devices, systems and methods detect latent HIV in a patient on anti-retroviral therapy (ART), the method comprising using optical scanning to identify in a cell sample of the patient Gag+ CD4 downregulated cells as in indication of latent HIV.

Abstract: A method of data acquisition at a magnetic resonance imaging (MRI) system is provided. The system receives at least a portion of raw data for an image, and detects anomalies in the portion of raw data received. When anomalies are detected, the system can correct those anomalies dynamically, without waiting for a new scan to be ordered. The system can attempt to scan the offending portion of the raw data, either upon detection of the anomaly or at some point during the scan. The system can also correct anomalies using digital correction methods based on expected values. The anomalies can be detected based on variations from thresholds, masks and expected values all of which can be obtained using one of the ongoing scan, previously performed scans and apriori information relating to the type of scan being performed.

Abstract: Techniques are disclosed for image feature representation. The techniques exhibit discriminative power that can be used in any number of classification tasks, and are particularly effective with respect to fine-grained image classification tasks. In an embodiment, a given image to be classified is divided into image patches. A vector is generated for each image patch. Each image patch vector is compared to the Gaussian mixture components (each mixture component is also a vector) of a Gaussian Mixture Model (GMM). Each such comparison generates a similarity score for each image patch vector. For each Gaussian mixture component, the image patch vectors associated with a similarity score that is too low are eliminated. The selectively pooled vectors from all the Gaussian mixture components are then concatenated to form the final image feature vector, which can be provided to a classifier so the given input image can be properly categorized.

Abstract: Automatic detection of valve disease from analysis of Doppler waveforms exploiting the echocardiography annotations is provided. In various embodiments, a frame is selected from a medical video. The selected frame depicts a valve of interest. A Doppler envelope is extracted from the selected frame. Based on the frame and the Doppler envelope, one or more measurements indicative of a disease condition are extracted.

Abstract: The application provides a method, apparatus and computer program product for denoising a magnetic resonance diffusion tensor, wherein the method comprises: collecting data of K space; calculating a maximum likelihood estimator of a diffusion tensor according to the collected data of K space; calculating a maximum posterior probability estimator of the diffusion tensor by using sparsity of the diffusion tensor and sparsity of a diffusion parameter and taking the calculating maximum likelihood estimator as an initial value; and calculating the diffusion parameter according to the calculated maximum posterior probability estimator. The application solves the technical problem in the prior art of how to realize high precision denoising of diffusion tensor while not increasing scanning time and affecting spatial resolution, achieves the technical effects of effectively suppressing noises in the diffusion tensor and improving the estimation accuracy of the diffusion tensor.

Abstract: A method, consisting of presenting on a display screen a graphical image of a heart of a patient, including icons representing a catheter that is positioned within the heart and an electrode on the catheter, while the electrode is in contact with tissue at a location in the heart. The method further includes acquiring, using the electrode, electrical signals from the tissue at the location, and processing the acquired signals so as to detect an occurrence of a predefined signal feature in the acquired signals. The method also includes, upon detecting the occurrence of the predefined signal feature, modifying a visual feature of at least one of the icon representing the electrode and the icon representing the catheter on the display screen.

Abstract: Methods and systems for image segmentation are provided. Image data may be acquired, wherein the image data may include a plurality of ribs. A rib region containing at least a portion of the plurality of ribs may be determined. At least one rib of the plurality of ribs may be selected as a target rib based on the rib region. At least one rib-probability-map relating to the target rib may be generated based on an artificial intelligence algorithm. A starting point of the target rib may be determined based on the image data, wherein the starting point may indicate a starting position for tracking the target rib. At least one portion of the target rib may be tracked based on the starting point and the at least one rib-probability-map. A segmented rib may be obtained by segmenting the at least one portion of the target rib.

Abstract: An assistive apparatus for organ localization, includes storing a 3D representation and CT images of an anatomical portion of the body of a subject. A localization circuitry determines a rib region and a spine region in the CT images and calculates first and second number of voxels within a first and second region of the 3D representation, respectively. The localization circuitry determines the right side of the body in the CT images, based on a comparison result for the first and second number of voxels. The localization circuitry detects a first bottom portion of right lung based on a distribution of intensity values of pixels in a region of right lung. The localization circuitry detects a second bottom portion of the rib region and localizes the liver organ in the CT images, from a reference of the detected first bottom portion and the detected second bottom portion.

Abstract: The herein invention discloses and claims a quantitative image restoration in bright field (QRBF) method that faithfully recovers shape and enables quantify size of individual unstained samples. The QRBF method restores out-of-focus BF images of unstained samples by applying deconvolution, which enhances contrast and allows for quantitative analysis. To perform deconvolution our procedure uses a point spread function modeled from theory. Image deconvolution can be performed even from a single input image in two dimensions (2D-QRBF), and quantitative information such as size and shape of samples can be determined from restored 2D-QRBF images. Application of 2D-QRBF in a high-throughput screening process to assess shape changes in cells during hyperosmotic shock shows that the described digital restoration approach is suitable for quantitative analysis of unstained BF images in high-throughput image cytometry.

Abstract: Apparatuses, systems, and methods are provided for alignment of a camera based on an image captured by the camera. The camera can, for example, be supported by a support structure to face towards an image alignment reference marker such that an image captured by the camera contains the marker. The camera can, for example, be rotatably aligned relative to the marker to an aligned position based on the captured image.