Abstract: A method and system for detecting and counting mitotic figures in an image of a biopsy sample stained with at least one dye, includes color filtering the image in a computer process to identify pixels in the image that have a color which is indicative a mitotic figure; extracting the mitotic pixels in the image that are connected to one another in a computer process, thereby producing blobs of mitotic pixels; shape-filtering and clustering the blobs of mitotic pixels in a computer process to produce mitotic figure candidates; extracting sub-images of mitotic figures by cropping the biopsy sample image at the location of the blobs; extracting two sets of features from the mitotic figure candidates in two separate computer processes; determining which of the mitotic figure candidates are mitotic figures in a computer classification process based on the extracted sets of features; and counting the number of mitotic figures per square unit of biopsy sample tissue.

Abstract: A registering device, a collating device, and a program which are capable of improving authentication accuracy and a data configuration of identification data capable of improving reliability are proposed. Parameters representing shapes of partial lines obtained by dividing a blood vessel line appearing in an image by setting end points and branch points of the blood vessel line as reference points are extracted and data including the parameters of the partial lines and positions of points of opposite ends of the partial lines is generated as data identifying a live body.

Abstract: A method for determining the hematocrit of a blood sample is provided that includes the steps of 1) depositing the sample into an analysis chamber adapted to quiescently hold the sample for analysis; 2) imaging at least a portion of the quiescent sample, which sample portion contains the red blood cells and one or more lacunae to determine an optical density of the imaged portion of the sample on a per image unit basis; 3) selecting optical density values of the image units aligned with the red blood cells; 4) selecting optical density values of the image units aligned with the one or more lacunae; and 5) determining the hematocrit of the sample using the selected optical density values of the image units aligned with the red blood cells and the lacunae.

Abstract: One method for estimating the extracorporeal blood volume in a portion of a physical sample includes: comparing a portion of an image of the sample with a template image of known extracorporeal blood volume indicator; tagging the portion of the image of the sample with a blood volume indicator according to the template image that is matched to the portion of the image of the sample; and estimating the extracorporeal blood volume in at least a portion of the physical sample, associated with the portion of the image of the sample, according to the blood volume indicator.

Abstract: Systems and methods for implementing a multi-step image recognition framework for classifying digital images are provided. The provided multi-step image recognition framework utilizes a gradual approach to model training and image classification tasks requiring multi-dimensional ground truths. A first step of the multi-step image recognition framework differentiates a first image region from a remainder image region. Each subsequent step operates on a remainder image region from the previous step. The provided multi-step image recognition framework permits model training and image classification tasks to be performed more accurately and in a less resource intensive fashion than conventional single-step image recognition frameworks.

Abstract: A method of determining a hemoglobin content value of a red blood cell includes: (a) illuminating the cell with incident light at a plurality of illumination wavelengths; (b) obtaining at least one two-dimensional image of the cell corresponding to each illumination wavelength; (c) for each illumination wavelength, determining a mean optical density and a maximum optical density for the cell; (d) determining an area of the cell; (e) for each illumination wavelength, determining a volume of the cell; (f) for each illumination wavelength, determining an integrated optical density for the cell; and (g) determining the hemoglobin content value of the cell based on the area of the cell, the volumes of the cell corresponding to each of the illumination wavelengths, and the integrated optical densities for the cell corresponding to each of the illumination wavelengths.

Abstract: A method of determining a volume of a platelet includes: (a) illuminating the platelet with incident light at a plurality of illumination wavelengths; (b) obtaining at least one two-dimensional image of the platelet corresponding to each illumination wavelength; (c) for each illumination wavelength, determining a mean optical density and a maximum optical density for the platelet; (d) determining an area of the platelet; (e) for each illumination wavelength, determining a volume of the platelet; (f) for each illumination wavelength, determining an integrated optical density for the platelet; and (g) determining the volume of the platelet based on a weighted combination of the area of the platelet, the volumes of the platelet corresponding to each of the illumination wavelengths, and the integrated optical densities for the platelet corresponding to each of the illumination wavelengths.

Abstract: A method for determining a contour of an object in a digital image includes determining a preliminary object center and determining contour candidate image points. The contour candidate image points are determined as image points on a plurality of paths leading away from a preliminary object center by detecting a change from a first section to a second section on a feature space based on the image point value range of the digital image or by detecting the exceeding of a predetermined strength of a feature change in the feature space, wherein the contour candidate image points have a distance to the preliminary or to an improved object center and are ordered according to a polar angle. Further, the method includes determining zones of neighboring contour candidate image points within which a change of the distance of the contour candidate image points lies above a threshold value and an elimination of contour candidate image points which lie between the zones of neighboring contour candidate image points.

Abstract: The invention relates generally to a process of analyzing and visualizing the expression of biomarkers in individual cells wherein the cells are examined to develop patterns of expression by using a grouping algorithm, and a system to perform and display the analysis.

Abstract: A method includes determining, via a processor, functional information about tissue of interest in image data for a functional image acquisition based on reference information generated based on non-tissue of interest.

Abstract: A method of centerline determination for a tubular tissue in a medical image data set defined in a data space, comprising receiving at least one start point and one end point inside a tubular tissue volume; automatically determining a path between said points that remains inside said volume; automatically segmenting said tubular tissue using said path; and automatically determining a centerline for said tubular tissue from said segmentation, wherein said receiving, said determining a path and said segmenting, said determining a centerline are all performed on a same data space of said medical image data set.

Abstract: A method and apparatus for identifying reticulocytes within a blood sample is provided.

Abstract: In order to acquire a non-contrast MRA image in which blurring of the blood vessel is suppressed to improve the visualization ability even if there is an influence of T2 attenuation in echo data, the imaging sequence for measuring the echo data along the measurement trajectories non-parallel to two directions perpendicular to the readout direction in the three-dimensional K space is executed in synchronization with the periodic body motion information of an object. In this case, the repetition time (TR) of the imaging sequence is set to be a plurality of periods of the periodic body motion information.

Abstract: Tree structures corresponding to a first linear structure and a second linear structure are constructed from medical image data including the first linear structure and the second linear structure, each repeatedly branching from an origin and extending in directions away from the origin in such a manner to become wider. Each of a first root node corresponding to a root node in the first tree structure and a second root node corresponding to a root node in the second tree structure is connected to each node, based on the characteristic that each of the first and second linear structures repeatedly branches from the origin and extends in directions away from the origin in such a manner to become wider, by using, with respect to each node, a cost function that weights a cost representing a probability of connection of each of a plurality of edges connectable to each node.

Abstract: A system and method for detection of colorimetric abnormalities within a body lumen includes an image receiver for receiving images from within the body lumen. Also included are a transmitter for transmitting the images to a receiver, and a processor for generating a probability indication of presence of colorimetric abnormalities on comparison of color content of the images and at least one reference value.

Abstract: Using nature that a pixel value in a lung of a chest X-ray moving image varies due to heart beat, the variation information on the pixel value is effectively used for diagnosis such as of a lung embolism or a heart disease, considering the variation information as lung blood flow information. A continuous X-ray image screening examination device receives a chest X-ray moving image from an X-ray detector and receives an electrocardiogram to become original information on a heart beat variation from an electrocardiogram recording apparatus. From the dynamic state of the heart wall measured by the electrocardiograph or the chest X-ray moving image, the heart dynamic state during the cardiac chamber systolic and diastolic phases is grasped, and information such as the variation of the pixel value of the chest X-ray moving image due to increase (lung blood flow increase) of the blood flow from the heart to the lung during the cardiac chamber systolic phase is generated.

Abstract: Automated quantitative analysis of microcirculation, such as density of blood vessels and red blood cell velocity, is implemented using image processing and machine learning techniques. Detection and quantification of the microvasculature is determined from images obtained through intravital microscopy. The results of quantitatively monitoring and assessing the changes that occur in microcirculation during resuscitation period assist physicians in making diagnostically and therapeutically important decisions such as determination of the degree of illness as well as the effectiveness of the resuscitation process. Advanced digital image processing methods are applied to provide quantitative assessment of video signals for detection and characterization of the microvasculature (capillaries, venules, and arterioles).

Abstract: A method and apparatus for analyzing white blood cells (WBCs) within a whole blood sample quiescently residing within a chamber is provided. The chamber is defined by at least one transparent panel, and the whole blood sample includes at least one colorant operable to differentially identify at least one WBC type from another WBC type within the sample. The method includes the steps of: a) creating at least one image of the sample quiescently residing within the chamber; b) identifying portions of the sample image, with each portion representing a single WBC; c) compressing the sample image portions using a first compression algorithm; and d) one of compressing a remainder of the sample image not included in the portions using a second compression algorithm, or discarding the remainder.

Abstract: According to one embodiment, a plaque region extracting apparatus includes a blood vessel wall data extracting unit, an intermediate image data generating unit, an enhancement processing unit, a plaque extracting unit. The blood vessel wall data extracting unit extracts first image data including a blood vessel wall from image data acquired by imaging a subject including blood vessels. The intermediate image data generating unit filters an intermediate region in the first image data to generate intermediate second image data. The enhancement processing unit processes the difference between the first image data and the second image data to generate third image data. The plaque extracting unit extracts a plaque in the blood vessel on the basis of the third image data.

Abstract: A system and method for estimating vascular flow using CT imaging include a computer readable storage medium having stored thereon a computer program comprising instructions, which, when executed by a computer, cause the computer to acquire a first set of data comprising anatomical information of an imaging subject, the anatomical information comprises information of at least one vessel. The instructions further cause the computer to process the anatomical information to generate an image volume comprising the at least one vessel, generate hemodynamic information based on the image volume, and acquire a second set of data of the imaging subject. The computer is also caused to generate an image comprising the hemodynamic information in combination with a visualization based on the second set of data.

Abstract: The invention relates to histology analyses, and in particular, to the assessment of pathological tissues to aid in the diagnosis of disease characterised by specific pathologies, for example cancer. The invention provides methods and apparatuses for analysing tissue samples, as well as computer-readable media programmed with software for carrying out these diagnostic methods.

Abstract: There is provided an ophthalmology information processing apparatus that allows to easily grasp a change in each part in continuously captured ophthalmology images. The ophthalmology information processing apparatus reads out a plurality of continuous captured images stored in a storage unit. An image analysis unit aligns the captured images. The ophthalmology information processing apparatus calculates the variation and position information of the pixel information of each pixel between the captured images based on the alignment information. An image generation unit generates a three-dimensional image which is displayed on a display unit simultaneously with the captured images.

Abstract: An image processing system includes a plurality of clients, a plurality of servers, and a computer. The computer includes a user application and a multi-target controller. The user application interactively operates with a user. The multi-target controller causes the plurality of clients to synchronously access the plurality of servers in response to a request from the user application, acquire from the plurality of servers a plurality of pieces of target data corresponding to a plurality of sub-regions in a draw region of the user application, and expand the plurality of pieces of target data into a plurality of pieces of draw data. The multi-target controller further combines the plurality of pieces of draw data returned from the plurality of clients into single draw data and passes the single draw data to the user application.

Abstract: An image processing device includes a first identification unit configured to identify the spatial configuration of a vessel in an object to be imaged, a second identification unit configured to identify information on a blood flow rate of the vessel based on an SLO moving image obtained by signal light that has a focus position deeper than at least a part of the area of the vessel, and an acquisition unit configured to acquire information on a blood flow of the vessel based on the identified area and the information on the blood flow rate.

Abstract: A medical imaging system for processing an original medical image is provided. The system includes a seed generator for receiving the original medical image representing an original blood vessel and to generate coarse seeds on a basis of vesselness feature in respect to every pixel of the original blood vessel represented by the medical image, and a seed processor for receiving the coarse seeds and for processing the coarse seeds to select a set of refined seeds on a basis of the regression profile for each of the coarse seed by using random forest classification, such that the set of refined seeds are selected from the coarse seeds such that the set of refined seeds adapted to lie on a corrected blood vessel.

Abstract: A medical imaging system to segment an original blood vessel of a body part represented by an original medical image is provided. The system includes an image analyzer for receiving and the original medical image to analyze the original medical image to provide a Hessian Eigen analysis comprising a first data and a second data mapped to each pixel of the medical image, and an image identifier for receiving the Hessian Eigen analysis and for identifying seed points from the pixels by processing the first data and the second data along with a vesselness property, wherein the seed points are used for segmenting the original blood vessel to provide a corrected medical image representing a corrected blood vessel.

Abstract: A computer-aided system identifies aneurysm suspects in 3D image datasets. The system takes the raw image dataset as input and assigns one or more points of interest (POIs) in the image data. The system determines one or more features for each POI and identifies one or more aneurysm suspects from among the assigned POIs based on the determined features.

Abstract: A method and apparatus for determining the hematocrit of a blood sample disposed within an analysis chamber, the method comprising the steps of: a) imaging at least a portion of the sample that contains one or more red blood cells contacting the interior surfaces of the chamber and one or more areas void of red blood cells; b) determining a representative optical density value for a plurality of image units optically aligned with portions of the red blood cells that are in contact the interior surfaces, and assigning an optical density first boundary value to those image units; c) determining a representative optical density value of a plurality of image units optically aligned with the one or more regions of the sample devoid of red blood cells, and assigning a second optical density boundary value to those image units; and d) determining the hematocrit of the sample.

Abstract: Systems, method and apparatus in which some embodiments of automatic segmentation of a liver parenchyma from multiphase contrast-enhanced computed-tomography images includes analyzing an intensity change in the images belonging to the different phases in order to determine the region-of-interest of the liver, thereafter segmenting starting from the region-of-interest and incorporating anatomical information to prevent oversegmentation, and thereafter combining the information of all available images.

Abstract: A measurement apparatus for enumeration of particles or white blood cells in a sample comprises: a holder, which is arranged to receive a sample acquiring device that holds a sample, an imaging system, comprising a magnifying means and at least one digital image acquiring means, said imaging system being arranged to acquire at least one digital image of the sample, and an image analyser, which is arranged to analyse the digital image for identifying particles or white blood cells and determining the number of particles or white blood cells and which is arranged to analyse the digital image for identifying particles or white blood cells that are imaged in focus, determining types of these particles or white blood cells, the types being distinguished by physical features and determining the ratio of different types of particles or white blood cells.

Abstract: Automated localization of a valid area of a blood smear and, thus, localization requiring less effort and being more objective is enabled in that a picture of the blood smear pixels are classified at least into first pixels, which represent blood cells, and second pixels, which do not represent the blood cells, and the valid area is then found on the basis of a local frequency of pixel clusters of at least Amin first pixels, Amin being a minimum threshold for a number of first pixels of a pixel cluster, and a local average size of the pixel clusters for laterally distributed areas of the blood smear.

Abstract: The apparatus enables biometric authentication without the risk of forgery or the like and enables living-tissue discrimination. The roughness distribution pattern of deep-layer tissue of the skin covered with epidermal tissue is detected, thereby extracting a unique pattern of the living tissue. Biometric authentication is performed based upon the detected pattern. The roughness distribution pattern of the deep-layer tissue of the skin is optically detected using difference in optical properties between the epidermal tissue and the deep-layer tissue of the skin. Long-wavelength light, e.g., near-infrared light, is used as illumination light cast onto the skin tissue. A fork structure of a subcutaneous blood vessel is used as the portion which is to be detected, for example. The portion which is to be detected is determined based upon the structure of the fork structure. The living-tissue discrimination may be made using the subcutaneous blood vessel.

Abstract: CPU 12 reads out the bloodstream associated values of target voxel of subject's standardized brain bloodstream images (step S34). CPU 12 sorts the bloodstream associated values in descending order (step S35). CPU 12 rejects bloodstream associated values that are ranked top 10% and bottom 40% (step S36). When the subjects are 20 for example, bloodstream associated values of highest 2 subjects and of lowest 8 subjects are rejected. CPU 12 calculates and stores mean value and standard deviation of remaining bloodstream associated values after the rejection (step S37). CPU 12 calculates mean value and standard deviation of bloodstream associated values for each voxel as target voxel (steps S31, S32, S33 and S38). Then, the alternative normal brain database of brain bloodstream image is obtained.

Abstract: A finger sensing device may include a finger sensing area, at least one processing stage coupled to the finger sensing area and having at least one adaptively determined processing parameter, and a controller for spoof reduction. More particularly, the controller may determine a spoof attempt based upon a change in the at least one adaptively determined processing parameter. For example, the at least one adaptively determined processing parameter may include a feedback determined processing parameter. Accordingly, the finger sensing device has enhanced spoof reduction, since different materials, for example, will cause a change in an adaptive processing parameter and thereby indicate the attempted spoof.

Abstract: A multi-biometric finger sensor may include an integrated circuit (IC) substrate for receiving a user's finger. The multi-biometric finger sensor may also include an optical source for projecting light of a known polarization angle onto the user's finger and at least one optical sensing pixel on the IC substrate for detecting a relative depolarization angle of the light reflected from the user's finger. The multi-biometric finger sensor may also include at least one other biometric finger sensing pixel on the IC substrate for sensing at least one other biometric characteristic from the user's finger.

Abstract: A method for producing an image of a layer of an object by a wide field optical element on a resolving detector. The object is illuminated in a focused manner on at least one object plane having at least two binary illuminating patterns. The corresponding images are detected. Light and/or the dark areas of the illuminating patterns completely cover the object when the illuminating pattern is superimposed. A layer image determined from the detected images, includes a partial segment that respectively reproduces a partial area of the object that is arranged inside the light area of one of the used illuminating patterns. Edges are arranged at a distance from the edges of the light area about at least one predefined minimum distance.

Abstract: Certain embodiments of the present technology provide systems, methods and computer instructions for computer aided analysis of images. In certain embodiments, for example, such a method includes: isolating a motion area in an image; segmenting the image; utilizing a support vector machine to identify a region of interest in the image; utilizing a graph-cut algorithm to refine the region of interest; and verifying the region of interest. In certain embodiments, for example, such a method further includes: aligning a set of images and/or outputting a set of aligned images sequentially. In certain embodiments, the systems, methods and computer instructions disclosed herein can be used to aid analysis of cardiac images, for example. In certain embodiments, the systems, methods and computer instructions disclosed herein can be used to aid analysis of four dimensional images, for example.

Abstract: The present invention relates to methods and systems for conducting three-dimensional image analysis and diagnosis and possible treatment relating thereto. The invention includes methods of handling signals containing information (data) relating to three-dimensional representation of objects scanned by a scanning medium. The invention also includes methods of making and analyzing volumetric measurements and changes in volumetric measurements which can be used for the purpose of diagnosis and treatment.

Abstract: The present invention discloses a method and an apparatus for detecting change in retinal oxygen saturation over time. The method comprises the steps of capturing a first group of images of two or more wavelengths, calculating oxygen saturation of a vessel in the first group of images, storing the first group of images on a data storage device, capturing a second group of images of two or more wavelengths, calculating the oxygen saturation of a vessels in the second group of images, storing the second group of images on a data storage device, spatially registering the pair of the group of images, captured at different time and calculate the change in oxygen saturation.

Abstract: A medical image processing apparatus in which an index value calculation unit calculates an index value representing a characteristic of a tubular structure extracted from a three-dimensional medical image in each direction of radial visual lines orthogonal to a core line of the tubular structure at each of a plurality of points on the core line with each point as each viewpoint and a map image generation unit generates a characteristic map image representing the characteristic inside of the tubular structure by mapping the index value calculated in each direction of the radial visual lines at each point on the core line to a coordinate plane defined by a first coordinate component representing a position in a direction of the core line and a second coordinate component representing a direction of each visual line.

Abstract: A system is disclosed for quantitative analysis of perfusion images comprising image elements having intensity values associated therewith. The system comprises a frequency distribution computing subsystem (1) for computing a plurality of frequency distributions of the intensity values of at least part of the images. The system comprises a perfusion information extractor (2) for extracting information relating to perfusion from the plurality of frequency distributions. The perfusion information extractor (2) comprises a shift detector (3) for detecting a shift of the intensity values of the frequency distribution. The perfusion information extractor (2) is arranged for extracting the information relating to perfusion, based on the detected shift. A user interface element (8) enables a user to indicate a boundary between the core region and the rim region by a single degree of freedom. A vesselness subsystem (9) associates a vesselness value with an image element.

Abstract: An allergic disease-related substance is screened from candidate substances based on the reactivity to a plurality of cell lines, which are basophil-like or mast cell-like cell lines derived from the same spleen tissue and have different sensitivities to allergic cytokines. Further, an allergic disease-related substance is screened from candidate substances using at least one basophil-like or mast cell-like cell lines selected from the group consisting of R cell (Deposit No. FERM BP-10918), N 62.5 cell (Deposit No. FERM BP-10919) and RCCM cell (Deposit No. FERM BP-10920).

Abstract: A method is provided for ensuring the quality of a sample carrier in connection with performing an analysis of a sample in the sample carrier in an analysis instrument for in vitro diagnosis, wherein the sample carrier is provided with a symbol for confirming the compatibility of the sample carrier with the analysis instrument. The method comprises bringing the sample carrier to an imaging position in the analysis instrument, acquiring an image of the sample carrier, and analyzing the acquired image to detect the presence of a symbol for identifying the genuineness of the sample carrier. Where the sample carrier is identified as genuine, the sample carrier is approved for use in the analysis instrument and the analysis instrument is enabled to perform an analysis of the sample in the sample carrier. The analysis comprises irradiating the sample by transmitting electromagnetic radiation through the sample carrier.

Abstract: A navigation apparatus includes: a storage portion that stores three-dimensional image data of an examinee that is previously acquired; an organ extracting portion that extracts a predetermined organ from the three-dimensional image data; a first region designating portion that designates a tumor in the three-dimensional image data; a blood vessel extracting portion that extracts a plurality of blood vessels that are inside the organ from the three-dimensional image data; a blood vessel classifying portion that classifies the blood vessels into either arteries or veins; and a second region extracting portion that, based on three-dimensional image information of the blood vessels, extracts a tumor resection region that is a region that is classified based on anatomical features of the organ and that includes a tumor.

Abstract: A method of determining wall stress in an abdominal aortic aneurysm is disclosed. The method includes determining, from anatomical image data, respective first stress values at locations on the wall, based on the aorta having substantially uniform stiffness. The primary direction of stress those locations are determined, and the locations of calcified regions (20) are then determined. The distance to the nearest calcified region is then determined for each location not corresponding to a calcified region, and the additional stress caused by the calcified regions is then determined from values stored in a memory.

Abstract: Embodiments provide methods and systems for imaging, and, more specifically, to a method and apparatus for quantitative imaging of blood perfusion in living tissue. Some embodiments are directed to methods of obtaining quantitative imaging of blood perfusion in living tissues using Doppler optical micro-angiography (DOMAG).

Abstract: A method for determining the hematocrit of a blood sample is provided that includes the steps of: 1) depositing the sample into an analysis chamber adapted to quiescently hold the sample for analysis, the chamber defined by the interior surfaces of first and second panels and a height extending there between, wherein both panels are transparent, and the height is such that at least some of the red blood cells within the sample contact both interior surfaces of the panels and one or more lacunae within the quiescent sample extend between the interior surfaces; 2) imaging at least a portion of the quiescent sample, which sample portion contains the red blood cells and one or more lacunae to determine an optical density of the imaged portion of the sample on a per image unit basis; 3) selecting and averaging the optical density values of the image units aligned with the red blood cells contacting the interior surfaces, and assigning an upper boundary value of 100% to the average optical density value of those im

Abstract: A computer implemented method for differentiating between elements of an image and a background includes inputting an image comprising pixels forming a view of the elements and a background, providing a model for assigning a probability of belonging to a predefined class to each of the pixels, assigning a probability to each of the pixels of belonging to the predefined class, labeling each of the pixels according to a corresponding probability and a predefined threshold, determining boundaries between groups of like-labeled pixels, and outputting a visualization of the boundaries.

Abstract: A method of processing an input image produces an output image emphasizing peak-like structures. The input image comprises input pixels and each input pixel has an intensity characteristic. The output image comprises corresponding output pixels and each output pixel has a value. The method comprises the step of calculating for an input pixel the second derivative of the intensity characteristic in two orthogonal directions, one of the directions being the direction of maximum curvature. The product of the two second derivatives is calculated and the value of the output pixel corresponding to the input pixel is determined in dependence on the product.

Abstract: A method for analyzing the placenta and histology slides of placental tissue comprising: selecting a placental sample to be analyzed; obtaining a digital image of the placental sample; and performing an analysis on the digital image, wherein a mathematical algorithm is applied to the digital image. The results of the analysis are correlated with data on health outcomes in infants, children, or adults and are used to assess future physiological risks to a patient.