Abstract: Methods of, and systems for, magnetic resonance imaging of diagnostic mapping of tissues, where sodium mapping is performed individually, as well as in combination with other images of tissue, such as T1?, T2, and/or T1-weighted images. In one method embodiment, a sodium image of the tissue is acquired during the same scanning session. Maps are constructed of each of the first and sodium images individually, and in combination, and further facilitate viewing in combination with each other as a single, blended image of the tissue. Maps of the images may be displayed individually or in combination with each other.

Abstract: An electronic device may have a digital image sensor for capturing an image and may have storage and processing circuitry for processing the image to produce a corresponding enhanced depth-of-field image. Multiple image areas, within a given image may be processed. As each image area is processed, a signal-to-noise ratio may be computed. A kernel parameter characteristic curve may be used to select values to be used for kernel parameters for each image area based on the computed signal-to-noise ratio for that image area. Kernels may be generated for each image area and the generated kernels may be convolved with their respective image areas to modify the image areas. This allows each image area to be selectively sharpened or smoothed based on its signal-to-noise ratio. Image areas with low and high signal-to-noise ratios may be sharpened less those with moderate signal-to-noise ratios to enhance depth of field in the image.

Abstract: The present invention relates to methods for searching and constructing a 3D motif image database, wherein said 3D motif image database can be used to understand the connection relationship of a 3D network, e.g. a neural network comprising biological neural networks or artificial neural networks. The searching and constructing methods are applied on the 3D motif image database, a proper computer-aided graphic platform. The database not only facilitates the management of the huge amount of categorized data but also rationally excavates the hidden information cloaked within.

Abstract: An analysis system automatically analyzes and counts fluorescence signals present in biopsy tissue marked using Fluorescence in situ Hybridization (FISH). The user of the system specifies classes of a class network and process steps of a process hierarchy. Then pixel values in image slices of biopsy tissue are acquired in three dimensions. A computer-implemented network structure is generated by linking pixel values to objects of a data network according to the class network and process hierarchy. Objects associated with pixel values at different depths of the biopsy tissue are used to determine the number, volume and distance between cell components. In one application, fluorescence signals that mark Her2/neural genes and centromeres of chromosome seventeen are counted to diagnose breast cancer. Her2/neural genes that overlap one another or that are covered by centromeres can be accurately counted. Signal artifacts that do not mark genes can be identified by their excessive volume.

Abstract: A method and apparatus for generating a gene expression profile by obtaining data relating to phenotypes and data relating to gene expression from biological samples and statistically analyzing them together.

Abstract: Performing sequencing of a polynucleotide. A first image of microparticles that are distributed in a random fashion on a substrate may be received. Each of the microparticles may include a plurality of similar oligonucleotides of the polynucleotide. A second image of the microparticles may be received. A plurality of first subportions of the first image may be determined. Each subportion may include a respective plurality of microparticles distributed in a random fashion. The second image may be analyzed to identify a plurality of second subportions in the second image. Each of the plurality of second subportions may correspond to a respective one of the plurality of first subportions. A plurality of the microparticles may be matched from the first and second images based on said analyzing. At least a portion of the sequence of nucleotides of the polynucleotide may be determined based on said matching.

Abstract: The invention provides methods and systems for reconstructing feature intensities from pixel level data. In certain embodiments, the invention uses an empirically determined transfer function to construct a theoretical estimate of pixel level data and then iteratively updates feature intensities based on a minimum multiplicative error between the pixel level data and the theoretical estimate of the pixel level data.

Abstract: There is described an X-ray diagnostic device for performing cephalometric, dental or orthopedic examinations on a patient who is seated or standing. The X-ray diagnostic device comprises an X-ray emitter and an image detector embodied as a flat-panel detector that are arranged situated opposite each other on an orbitally moveable mount. The X-ray diagnostic device further comprises means for adjusting the height of the X-ray emitter and the image detector, a digital image system for recording a projection image using rotation angiography, a device for image processing for reconstructing the projection image into a 3D volume image; and a device for correcting physical effects or artifacts for representing soft tissue in the projection image and in the 3D volume image reconstructed therefrom.

Abstract: A method for identifying a structure in a volume of interest is provided. The method comprises acquiring a plurality of points related to the structure in a continuous mode, and subsequently registering at least one of the points to a previously acquired imaging dataset of the structure. An apparatus, system and a computer-readable medium are also provided. The present invention provides faster acquisition of EAM points by modifying the mapping system so that catheter tip locations are automatically and continuously recorded without requiring explicit navigation to and annotation of fiducial landmarks on the endocardium.

Abstract: A spectral characteristic calculation device stores a plurality of conversion matrices used to calculate the spectral characteristic values based on brightness values of a digital color image, and a plurality of pieces of brightness value information respectively corresponding to a plurality of sample groups. The plurality of conversion matrices are generated based on the sample color image information contained in the plurality of sample groups, respectively. An evaluating unit is configured to evaluate similarity of brightness value information of the target data with respect to each of the plurality of pieces of brightness value information of the plurality of sample groups. A conversion matrix corresponding to the sample group that is evaluated to have the highest similarity is selected as the conversion matrix. Then, a calculating unit calculates the spectral characteristic values of the target data using the conversion matrix selected by the selecting unit.

Abstract: A method for detecting markers within X-ray images includes applying directional filters to a sequence of X-ray image frames. Marker candidate pixels are determined based on the output of the directional filters. Candidate pixels are grouped into clusters and distances between each possible pair of clusters is determined and the most frequently occurring distance is considered an estimated distance between markers. A first marker is detected at the cluster that most closely resembles a marker based on certain criteria and a second marker is then detected at a cluster that is the estimated distance from the first marker. The pair of first and second marker detections is scored to determine detection quality. If the detected marker pair has an acceptable score then the detected marker pair is used.

Abstract: Certain embodiments of the present invention provide a test image including a plurality of bands and a plurality of markers in each band. Each band includes a plurality of pixels of the same pixel value. Each marker contrasts with the plurality of pixels in the band. The markers are adapted to allow a user to determine a feature of an image display system.

Abstract: An imaging system for detecting targets of interest (TOIs) in multispectral imaging data includes a memory device storing a plurality of instructions embodying the system for detecting TOIs, a processor for receiving the multispectral imaging data and executing the plurality of instructions to perform a method including determining a list of events collocated across images of the multispectral imaging data and labeling each event as one of a TOI or non-TOI.

Abstract: The disclosed systems and methods allow composite images with enhanced dynamic range to be generated that result in more accurate, reliable, and efficient chemical and/or biological analyses. The disclosed systems include an image detector; a timer for tracking exposure time of the image detector; and computer readable medium, including instructions that when executed cause a computer system to generate a composite image using the multiple images of pixels.

Abstract: The invention provides methods and systems for reconstructing feature intensities from pixel level data. In certain embodiments, the invention uses an empirically determined transfer function to construct a theoretical estimate of pixel level data and then iteratively updates feature intensities based on a minimum multiplicative error between the pixel level data and the theoretical estimate of the pixel level data.

Abstract: A DNA inspecting apparatus including driving means for relatively changing positions of the multi-spot lights and a position of the DNA chip so as to detect the fluorescent lights in such a manner that a desired area on the DNA chip is irradiated with the multi-spot lights, and a control system for determining and inspecting DNA information about the to-be-inspected DNA chip from fluorescent light intensities and fluorescent light positions of the desired area on the DNA chip, the fluorescent light intensities and the fluorescent light positions being detected by the driving means and the fluorescent light detecting means.

Abstract: Methods and kits for the quantitation of cellular DNA and cell numbers are provided. Passive element uptake, element-labeled DNA intercalators, and element labeled affinity reagents are used to quantify DNA and cells. The DNA and the cells are analyzed by elemental analysis, including ICP-MS. The methods and kits provide a fast and accurate analysis of cellular DNA and cell numbers.

Abstract: A method and apparatus are provided for reducing motion related imaging artifacts. The method includes determining an internal motion for of two regions of the object, each region having a different level of motion, scanning the first region using a first scan protocol based on the motion, scanning a second region using a second different scan protocol based on the motion, and generating an image of the object based on the first and second regions.

Abstract: A method for obtaining an image of tooth tissue directs incident light toward a tooth, wherein the incident light excites a fluorescent emission from the tooth tissue. Fluorescence image data is obtained from the fluorescent emission. Back-scattered reflectance image data is obtained from back-scattered light from the tooth tissue. The fluorescence and back-scattered reflectance image data are combined to form an enhanced image of the tooth tissue for caries detection.

Abstract: Signal processing techniques are applied to digital image data to remove the distortion caused by motion of the camera, or the movement of the subject being photographed, or defective optics, or optical distortion from other sources. When the image is captured, the effect of relative motion between the camera and the subject is that it transforms the true image into a blurred image according to a 2-dimensional transfer function. The 2-dimensional transfer function representing the motion is derived using blind estimation techniques or by using information from sensors that detect the motion. The transfer function is inverted and used to define a corrective filter. The filter is applied to the image and the blur due to the motion is removed, restoring the correct image. Another embodiment uses the transfer function to avoid blur by combining multiple consecutive images taken at a fast shutter speed.

Abstract: Actual ultrasound attenuation in tissue is used to calculate gain compensation profiles which are used to create a uniform image. Axial, lateral, elevation gain profiles are used to correct the attenuation and ultrasound variation in each direction. In addition, automatic activation of the automatic gain compensation is described.

Abstract: The invention relates to a system (100) for propagating a model mesh based on a first mean model mesh and on a second mean model mesh, the system comprising: a registration unit (110) for computing a registration transformation for registering the first model mesh with the first mean model mesh; a forward transformation unit (120) for transforming the model mesh into a registered model mesh using the registration transformation; a computation unit (130) for computing a propagation field for propagating the registered model mesh, the propagation field comprising vectors of displacements of vertices of the second mean model mesh relative to respective vertices of the first mean model mesh; a propagation unit (140) for transforming the registered model mesh into the propagated registered model mesh based on applying the vertex displacement vectors comprised in the propagation field to respective vertices of the registered model mesh; and an inverse transformation unit (150) for transforming the propagated regist

Abstract: The present invention relates to systems and methods for monitoring the amplification of DNA molecules and the dissociation behavior of the DNA molecules.

Abstract: In MR imaging using a multi-coil device, multifrequency interpolation is combined with a convolution such as BOSCO to achieve simultaneous parallel reconstruction and off-resonance correction. The unaliased and deblurred image is calculated for each coil, and the final image is formed from the images for all of the coils.

Abstract: Methods and apparatus provide for marking a location in a medical image, including: providing a first marker within a first medical image, which shows an object, at a first location, determining a second location, which corresponds to the first location, within a second medical image showing the same object, marking the second location with a second marker, which is different to the first marker, and presenting the first medical image, the first marker, the second medical image and the second marker.

Abstract: Change image detecting devices and methods are disclosed. In one example, a determination unit partially compares a first image and a reference image and determines whether there is a change therebetween. If the determination unit determines no change between the first image and the reference image, the change image detecting unit selects a second image, which is temporally later than the first image and stored in a first storing unit, as a new image to be processed and the determination unit partially compares the second image and the reference image at a different position than previously compared and determines whether there is a change between the second image and the reference image. If the determination unit determines change between the first image and the reference image, a change image detecting unit detects the first image stored in the first storing unit as the change image, and stores the first image in the second storing unit.

Abstract: A method and a device are disclosed for imaging cyclically moving objects using a first and a second imaging method which differ at least with regard to the spatial resolution or the sensitivity. In at least one embodiment of the process, images of the object are continuously recorded by the first imaging method. Temporally different phases of a movement cycle of the object are extracted from the images recorded by the first imaging method. Images of the object are recorded by the second imaging method. The image data recorded in each case in a same, repeating phase of the of the movement cycle by the second imaging method are summed and temporally assigned to the different phases of the movement cycle.

Abstract: A biological sample such as a tissue section is stained with one or more quantum dots and possibly other fluorophores (total number of fluorophores N). A camera coupled to a microscope generates an image of the specimen at a plurality of different wavelengths within the emission spectral band of the N fluorophores. An analysis module calculates coefficients C1 . . . CN at each pixel from the set of images and reference spectral data for the N fluorophores. The coefficients C1 . . . CN are related to the concentration of each of the individual fluorophores at each pixel location. Morphological processing instructions find biological structures, e.g., cells, cellular components, genes, etc., in the images of the specimen. Quantitative analysis is performed on the identified biological structures. A display module displays the quantitative analysis results to the user, along with images of the specimen. The images can include images constructed from one or more of the coefficients C1 . . . CN.

Abstract: Disclosed is a method for determining and displaying at least one piece of information on a target volume, especially in a human body, the information being obtained from an image record. At least one embodiment of the method includes: a first and at least one second image record of a target zone encompassing the target volume are recorded, the first image record having a higher contrast regarding the boundaries of the target volume, and the first and the second image record being registered together; the target volume is segmented in the first image record; target volume image data.

Abstract: A biological sample such as a tissue section is stained with one or more quantum dots and possibly other fluorophores (total number of fluorophores N). A camera coupled to a microscope generates an image of the specimen at a plurality of different wavelengths within the emission spectral band of the N fluorophores. An analysis module calculates coefficients C1 . . . CN at each pixel from the set of images and reference spectral data for the N fluorophores. The coefficients C1 . . . CN are related to the concentration of each of the individual fluorophores at each pixel location. Morphological processing instructions find biological structures, e.g., cells, cellular components, genes, etc., in the images of the specimen. Quantitative analysis is performed on the identified biological structures. A display module displays the quantitative analysis results to the user, along with images of the specimen. The images can include images constructed from one or more of the coefficients C1 . . . CN.

Abstract: A biological sample such as a tissue section is stained with one or more quantum dots and possibly other fluorophores (total number of fluorophores N). A camera coupled to a microscope generates an image of the specimen at a plurality of different wavelengths within the emission spectral band of the N fluorophores. An analysis module calculates coefficients C1 . . . CN at each pixel from the set of images and reference spectral data for the N fluorophores. The coefficients C1 . . . CN are related to the concentration of each of the individual fluorophores at each pixel location. Morphological processing instructions find biological structures, e.g., cells, cellular components, genes, etc., in the images of the specimen. Quantitative analysis is performed on the identified biological structures. A display module displays the quantitative analysis results to the user, along with images of the specimen. The images can include images constructed from one or more of the coefficients C1 . . . CN.

Abstract: A biological sample such as a tissue section is stained with one or more quantum dots and possibly other fluorophores (total number of fluorophores N). A camera coupled to a microscope generates an image of the specimen at a plurality of different wavelengths within the emission spectral band of the N fluorophores. An analysis module calculates coefficients C1 . . . CN at each pixel from the set of images and reference spectral data for the N fluorophores. The coefficients C1 . . . CN are related to the concentration of each of the individual fluorophores at each pixel location. Morphological processing instructions find biological structures, e.g., cells, cellular components, genes, etc., in the images of the specimen. Quantitative analysis is performed on the identified biological structures. A display module displays the quantitative analysis results to the user, along with images of the specimen. The images can include images constructed from one or more of the coefficients C1 . . . CN.

Abstract: An intuitive user interface is provided that allows for selection of an abnormality level in features in a medical image on the basis of graphical depictions of the abnormalities themselves. In one embodiment, the user interface displays realistic images of actual abnormalities in a series ranging from least severe to most severe and the medical practitioner selects the abnormality level by mouse-clicking on one of the images. The user interface then displays an annotated map of suspected abnormalities with annotations only on those suspected abnormalities that are at least as severe as the selected abnormality. In alternative embodiments, the user interface displays stylized images of the abnormalities plotted by the display using mathematical functions. In yet another alternative, the images are hand-drawn images.

Abstract: An image processing system extracts parts or characteristics of interest from prepared biological samples One suitable use of the image processing system is to find biomarkers. But many other suitable uses are possible. Some components of the system include image preprocessing (data interpolation, retention time alignment, image noise filtering, background estimation, and formation of a composite image); image feature extraction (peaks, isotope groups, and charge groups); and computation of feature characteristics and expression statistics, differential expression, and non-differential expression. Outputs of the system include a candidate list of parts or characteristic of interest for aiding further discovery.

Abstract: An apparatus provides an image on the basis of a plurality of input images. The apparatus includes a first stage having at least a first and a second combiner, each of the combiners including a first storer for storing image data of the input images, a first processor for processing the image data of the input images into an intermediate image, and a second storer for storing image data of the intermediate image. The apparatus further includes a second stage having at least one further combiner, the further combiner including a third storer for storing image data of those intermediate images which are stored in the second storer of the first stage, a second processor for processing the image data from the third storer, so as to combine the image data of the intermediate images into the image, and a fourth storer for storing image data of the image.

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: A method of fluorescence imaging is provided. The method provides for simultaneously acquiring image data at a plurality of phases and a plurality of frequencies from a region of interest, identifying at least one desired signal and at least one background signal in the acquired image data associated with the region of interest, constructing a digital filter based upon the at least one desired signal and the at least one background signal, wherein the digital filter is configured to enhance image contrast and applying the digital filter to the acquired image data associated with the region of interest to enhance image contrast in the acquired image data. Systems and computer programs that afford functionality of the type defined by this method are also provided.

Abstract: A method for correcting the signal in an image having a plurality of regions of interest, the method comprising the steps of: (a) providing an image having a plurality of regions of interest, these regions of interest having areas between them; (b) determining a region of correction between at least two regions of interest; (c) calculating a correction signal from the region of correction; and (d) using the correction signal to correct a measured signal from one or more regions of interest.

Abstract: A biological sample such as a tissue section is stained with one or more quantum dots and possibly other fluorophores (total number of fluorophores N). A camera coupled to a microscope generates an image of the specimen at a plurality of different wavelengths within the emission spectral band of the N fluorophores. An analysis module calculates coefficients C1 . . . CN at each pixel from the set of images and reference spectral data for the N fluorophores. The coefficients C1 . . . CN are related to the concentration of each of the individual fluorophores at each pixel location. Morphological processing instructions find biological structures, e.g., cells, cellular components, genes, etc., in the images of the specimen. Quantitative analysis is performed on the identified biological structures. A display module displays the quantitative analysis results to the user, along with images of the specimen. The images can include images constructed from one or more of the coefficients C1 . . . CN.

Abstract: The present invention comprises systems and devices for sequencing of nucleic acid, such as short DNA sequences from clonally amplified single-molecule arrays.

Abstract: A method of improving a resolution of an image using image reconstruction is provided. The method includes acquiring scan data of an object and forward projecting a current image estimate of the scan data to generate calculated projection data. The method also includes applying a data-fit term and a regularization term to the scan data and the calculated projection data and modifying at least one of the data fit term and the regularization term to accommodate spatio-temporal information to form a reconstructed image from the scan data and the calculated projection data.

Abstract: A method and apparatus for generating a super-resolution image are provided. The method may include obtaining a first set of RAW data representing a first image captured at a first resolution and obtaining, from the first set of RAW data, at least one first sample of data associated with the first image. The method may also include obtaining a second set of RAW data representing a second image captured at the first resolution, and performing image registration as a function of the first set of RAW data and the second set of RAW data so as to obtain at least one second sample of data associated with the second image. The first set of RAW data is used as a reference for the second set of RAW data. The method further includes combining the at least one first sample of data with at least one second sample of data to form a collection of samples, and interpolating the collection of samples to form the super-resolution image.

Abstract: Nucleic acid microparticles are sequenced by performing a sequencing reaction on the microparticles using one or more reagents, selectively exciting the microparticles in an excitation pattern, optically imaging the microparticles at a resolution insufficient to resolve individual microparticles, and processing the optical images of the microparticles using information on the excitation pattern to determine the presence or absence of the optical signature, which indicates the sequence information of the nucleic acid. An apparatus for optical excitation of the microparticles comprises an optical fiber delivering a first laser beam, and an interference pattern generation module coupled to the optical fiber. The interference pattern generation module splits the first laser beam into second and third laser beams and generates the excitation pattern for selectively exciting the microparticles by interference between the second and third laser beams.

Abstract: A hemorrhage edge candidate area extraction section extracts a candidate area for the outline part of a hemorrhage area, based on an image signal of a medical image constituted by multiple color signals obtained by capturing an image of a living body. A feature quantity calculation section calculates a feature quantity of the hemorrhage area based on calculation of the amount of change in the image signal in a small area including the candidate area, among multiple small areas obtained by dividing the medical image. A hemorrhage edge determination section determines whether or not the candidate areas are the outline part of the hemorrhage area based on the feature quantity.

Abstract: There is provided a method of processing an ultrasound spectrum image. According to such method, a spectrum image is formed based on ultrasound data and then the noise is removed from the spectrum image. The noise-removed spectrum image is matched with one or more spectrum models representing specific spectrum types. Then, whether or not the noise-removed spectrum image contains an aliasing is checked. If the noise-removed spectrum image contains the aliasing, then the aliasing is removed from the noise-removed spectrum image to provide a noise-removed spectrum image without the aliasing. Thereafter, contour tracing is performed on the noise-removed spectrum image without the aliasing to detect contour points. Further, peak tracing is performed on the noise-removed spectrum image without the aliasing to detect peaks.

Abstract: A method of automatically identifying the microarray chip corners and probes, even if there are no probes at the corners, in a high density and high resolution microarray scanned image having an image space, wherein the method minimizes the error distortions in the image arising in the scanning process by applying to the image a multipass corner finding algorithm comprising: (a) applying a Radon transform to an input microarray image to project the image into an angle and distance space where it is possible to find the orientation of the straight lines; (b) applying a fast Fourier transform to the projected image of (a) to find the optimal tilting angle of the projected image; (c) determining the optimal first and last local maxima for the optimal tilting angle; (d) back projecting the determined first and last local maxima to the image space to find the first approximation of the first and last column lines of the image; (e) rotating the image and repeating steps (a) through (d) to find the first approximati

Abstract: An image display device that includes: a region-of-interest setting section that sets regions-of-interest respectively for multiple medical images representing a photographed subject; a difference image creating section that creates a difference image representing a difference between images of the regions-of-interest set by the region-of-interest setting section; and an image displaying section that displays the difference image as well as the images arranged side by side.

Abstract: A method and system are disclosed for matching input character sequences in a set of input patterns. The method comprises the steps of analyzing the set of input patterns, creating a pattern cluster look-up table (PCLT) based on said input patterns, and defining an offset value k. The PCLT is used to find, for each sequence s and offset k, a set of candidate patterns that can possibly match s, the set of candidate patterns is searched for patterns that match s, and all found matching patterns and sequences are reported.

Abstract: Systems and methods facilitate the location and/or identification of repetitive DNA patterns, such as CpG islands, Alu repeats, tandem repeats and various types of satellite repeats. These repetitive elements can be found within a chromosome, within a genome or across genomes of various species. The systems and methods apply image processing operators to find prominent features in the vertical and horizontal direction of the DNA spectrograms. The systems and methods for detecting and/or classifying repetitive DNA patterns include: (a) a comparative histogram method, (b) feature selection and classification using support vector machines and genetic algorithms, and (c) generation of a spectrovideo from a plurality of spectral images.

Abstract: A method for use in functional medical imaging includes adaptively partitioning functional imaging data as a function of a spatially varying error model. The functional image data is partitioned according to an optimization strategy. The data may be visualized or used to plan a course of treatment. In one implementation, the image data is partitioned so as to vary its spatial resolution. In another, the number of clusters is varied based on the error model.