Patent application number | Description | Published |
20090132568 | DATA CLASSIFICATION BY KERNEL DENSITY SHAPE INTERPOLATION OF CLUSTERS - A method for representing a dataset comprises clustering the dataset using an unsupervised, non-parametric clustering method to generate a set of clusters each comprising a set of data points in an image; clustering the data points of each cluster using a supervised, partitional clustering method to partition each cluster into a specified number of sub-clusters; generating a density estimate value of each grid point of a set of grid points sampled from the image at a specified resolution for each sub-cluster using a kernel density function; identifying a maximum density estimate value and a sub-cluster associated with the maximum density estimate value for the grid point; adding each grid point for which the maximum density estimate value exceeds a specified threshold to the sub-cluster associated with the maximum density estimate value; and, for each cluster, merging the sub-clusters of the cluster into a corresponding cluster region in the image. | 05-21-2009 |
20090132594 | DATA CLASSIFICATION BY KERNEL DENSITY SHAPE INTERPOLATION OF CLUSTERS - A data processing system is provided that comprises a processor, a random access memory for storing data and programs for execution by the processor, and computer readable instructions stored in the random access memory for execution by the processor to perform a method for obtaining a shape interpolated representation of shapes of clusters in an image of a clustered dataset. The method comprises generating a density estimate value of each grid point of a set of grid points sampled from the image at a specified resolution for each cluster using a kernel density function; evaluating the density estimate value of each grid point for each cluster to identify a maximum density estimate value of each grid point and a cluster associated with the maximum density estimate value; and adding each grid point for which the maximum density estimate value exceeds a specified threshold to the associated cluster to form a shape interpolated representation. | 05-21-2009 |
20090175544 | FINDING STRUCTURES IN MULTI-DIMENSIONAL SPACES USING IMAGE-GUIDED CLUSTERING - A data processing system is provided that comprises a processor, a random access memory for storing data and programs for execution by the processor, and computer readable instructions stored in the random access memory for execution by the processor to perform a method for clustering data points in a multidimensional dataset in a multidimensional image space. The method comprises generating a multidimensional image from the multidimensional dataset; generating a pyramid of multidimensional images having varying resolution levels by successively performing a pyramidal sub-sampling of the multidimensional image; identifying data clusters at each resolution level of the pyramid by applying a set of perceptual grouping constraints; and determining levels of a clustering hierarchy by identifying each salient bend in a variation curve of a magnitude of identified data clusters as a function of pyramid resolution level. | 07-09-2009 |
20110213257 | METHOD AND APPARATUS FOR DETERMINING A HEART PERIOD FROM AN ECG WAVEFORM USING IMAGE REPRESENTATION OF ECG - A method and system and computer program product for estimating a heart period is disclosed. The heart period is detected from an ECG recording. ECG data is acquired, and converted into electronic ECG images. The data is processed to prepare for estimation of a heart period. The heart period is estimated based upon an average of intervals between a plurality of detected peaks of electronic electrocardiogram waveforms. The peaks are determined by taking a product of a filtered electronic ECG signal with a wandering baseline removed, a difference between the upper and lower ECG envelopes of the electronic ECG images, and a first order derivative of a derived ECG waveform. | 09-01-2011 |
20120316452 | METHOD FOR DETERMINING A HEART PERIOD FROM AN ECG WAVEFORM USING IMAGE REPRESENTATION OF ECG - A method for estimating a heart period is disclosed. The heart period is detected from an ECG recording. ECG data is acquired, and converted into electronic ECG images. The data is processed to prepare for estimation of a heart period. The heart period is estimated based upon an average of intervals between a plurality of detected peaks of electronic electrocardiogram waveforms. The peaks are determined by taking a product of a filtered electronic ECG signal with a wandering baseline removed, a difference between the upper and lower ECG envelopes of the electronic ECG images, and a first order derivative of a derived ECG waveform. | 12-13-2012 |
20140214870 | FINDING TIME-DEPENDENT ASSOCIATIONS BETWEEN COMPARATIVE EFFECTIVENESS VARIABLES - Embodiments of the invention relate to arrangements for ascertaining time-dependent associations between inputted comparative effectiveness research (CER) variables from patient data are. Each CER variable is represented via at least one unit time series, and a similarity metric with respect to pairs of CER variables is determined. The determining includes comparing at least one unit time series from each of at least two CER variables. | 07-31-2014 |
20150278707 | PREDICTIVE SPACE AGGREGATED REGRESSION - Embodiments relate to creating a classification rule by combining classifiers. Aspects include receiving N training samples d, wherein each of the N training samples d includes a label l, receiving T classifiers C, and initializing a first random weight vector α for the N training samples d. Aspects also include initializing a second random weight vector β for the T classifiers C and creating, by a processor, the classification rule by identifying a combination of one or more of the T classifiers C that best approximates the label l for each of the N training samples d based on the first random weight vector and the second random weight vector β. | 10-01-2015 |
Patent application number | Description | Published |
20090271664 | METHOD FOR MONITORING DEPENDENT METRIC STREAMS FOR ANOMALIES - A method for monitoring dependent metric streams for anomalies including identifying a plurality of sets of dependent metric streams from a plurality of metric streams of a computer system by measuring an association of the plurality of metric streams using a statistical dependency measure analysis, wherein each set includes a plurality of the dependent metric streams and each metric stream includes a plurality of data, determining a subset of the plurality of sets of dependent metric streams to monitor by selecting a quantity of the sets of dependent metric streams that have a highest statistical dependency, cleaning the data of each set of dependent metric streams of the subset by identifying and removing outlier data, fitting a probability density function to the cleaned data of each set of dependent metric streams of the subset, wherein the probability density function is a likelihood function that provides a likelihood of an occurrence of the cleaned data, determining a detection threshold that is a lower threshold on the likelihood of the occurrence of the cleaned data of each set of dependent metric streams of the subset based on the likelihood function, detecting an anomaly if a likelihood of an occurrence of a new data of one of the sets of dependent metric streams of the subset is less than the detection threshold, and transmitting an alert signal in response to detecting the anomaly. | 10-29-2009 |
20100081953 | SYSTEM AND METHOD FOR INFERRING DISEASE SIMILARITY BY SHAPE MATCHING OF ECG TIME SERIES - A method for inferring disease similarity by similarity retrieval of electrocardiogram time-series, comprising: acquiring user ECG waveforms correspondingly depicting many cardiac cycles of the heart of many users stored in a database; pre-processing each of the user ECG waveforms through pre-processing steps to isolate sets of single cardiac cycles corresponding to different heart-rates detected for each of the user ECG waveforms, each single cardiac cycle within the many cardiac cycles of the heart of many users corresponds to one single heart-rate detected. acquiring patient ECG waveforms depicting multiple cardiac cycles of the heart of a query patient; pre-processing the patient ECG waveforms through pre-processing steps to isolate sets of single cardiac cycles corresponding to different heart-rates detected for each of the patient ECG waveforms of the query patient, each single cardiac cycle within the multiple cardiac cycles of the heart of the query patient corresponds to one single heart-rate detected. | 04-01-2010 |
20130182006 | DE-IDENTIFICATION IN VISUAL MEDIA DATA - A visual media de-identification system is described. The system includes an image merger and a de-identifying engine. The image merger is configured to merge a sequence of images from a set of visual media data into an averaged image. The de-identifying engine is configured to: bound portions of the averaged image that are determined to be relatively fixed, wherein each bounded portion is identified by a corresponding position in the averaged image; generate a template comprising the bounded portions and the corresponding position for each bounded portion in the averaged image; and de-identify the sequence of images by obfuscating content in the bounded portions. | 07-18-2013 |
20130182007 | DE-IDENTIFICATION IN VISUAL MEDIA DATA - A method for de-identification of visual media data, including: merging a sequence of images from a set of visual media data into an averaged image; bounding portions of the averaged image that are determined to be relatively fixed, wherein each bounded portion is identified by a corresponding position in the averaged image; generating a template comprising the bounded portions and the corresponding position for each bounded portion in the averaged image; and de-identifying the sequence of images by obfuscating content in the bounded portions. | 07-18-2013 |
20130226841 | EXTRACTION OF INFORMATION FROM CLINICAL REPORTS - A method for extracting information from electronic documents, including: learning terms and term variants from a training corpus, wherein the terms and the term variants correspond to a specialized dictionary related to the training corpus; generating a list of negative indicators found in the training corpus; performing a partial match of the terms and the term variants in a set of electronic documents to create initial match results; and performing a negation test using the negative indicators and a positive terms test using the terms and the term variants on the initial match results to remove matches from the initial match results that fail either the negation test or the positive terms test, resulting in final match results. | 08-29-2013 |
20130226843 | EXTRACTION OF INFORMATION FROM CLINICAL REPORTS - A method for extracting information from electronic documents, including: learning terms and term variants from a training corpus, wherein the terms and the term variants correspond to a specialized dictionary related to the training corpus; generating a list of negative indicators found in the training corpus; performing a partial match of the terms and the term variants in a set of electronic documents to create initial match results; and performing a negation test using the negative indicators and a positive terms test using the terms and the term variants on the initial match results to remove matches from the initial match results that fail either the negation test or the positive terms test, resulting in final match results. | 08-29-2013 |
20150098638 | FINDING SIMILAR CORONARY ANGIOGRAMS IN A DATABASE - Embodiments relate to finding similar coronary angiograms in a database of coronary angiograms. An aspect includes receiving angiography data for a coronary artery, processing the angiography data to identify one or more semantic features of the coronary artery, and identifying one or more nearest coronary angiograms for each of the one or more semantic features from the database of coronary angiograms. The method also includes receiving a disease attribute associated with each of the one or more nearest coronary angiograms. | 04-09-2015 |
20150126860 | ASSOCIATING CORONARY ANGIOGRAPHY IMAGE ANNOTATIONS WITH SYNTAX SCORES FOR ASSESSMENT OF CORONARY ARTERY DISEASE - Embodiments relate to associating coronary angiography image annotations with SYNTAX score for assessment of coronary artery disease. Aspects include receiving and processing a plurality of angiogram videos from a coronary angiography study into a plurality of frames, selecting and displaying a key frame from the plurality of frames for each angiogram video in a browsing interface, and receiving a selection of one of the key frame from a user. Aspects further include displaying the angiogram video associated with the selected key frame in a video viewer interface, receiving a lesion annotation from the user for a frame of the angiogram video, and displaying a SYNTAX score questionnaire in the video viewer interface. Aspects further include annotating the frame of the angiogram video with the answers to the SYNTAX score questionnaire from the user and saving the answers to the SYNTAX score questionnaire with the annotated frame in a database. | 05-07-2015 |
20150141826 | PREDICTION OF DISEASES BASED ON ANALYSIS OF MEDICAL EXAM AND/OR TEST WORKFLOW - Use of medical workflows where a first medical workflow is obtained from a plurality of medical acts performed in sequence that related to care of a patient. A set of condition-indication rules is applied to the first medical workflow to determine first condition information. The first condition information relates to a likelihood that a first medical condition exists in the patient. | 05-21-2015 |
20150282777 | DETECTING CORONARY STENOSIS THROUGH SPATIO-TEMPORAL TRACKING - Embodiments relate to detecting coronary stenosis through spatio-temporal tracking. Aspects include extracting a coronary artery tree from each of a sequence of angiogram images, creating a mean artery tree from the extracted coronary artery trees, and projecting the mean artery tree back onto each of the sequence of angiogram images to recover a complete coronary artery tree for each of the sequence of angiogram images. Aspects also include extracting one or more tubular sections from each of the sequence of angiogram images, estimating an arterial width for each of the one or more tubular sections from each of the sequence of angiogram images, and creating a spatio-temporal surface from the arterial widths of the one or more tubular sections over a time spanned by the sequence of angiogram images. Aspects further include detecting a minimum in the spatio-temporal surface and determining if the minimum is indicative of stenosis. | 10-08-2015 |
Patent application number | Description | Published |
20100049072 | METHOD AND APPARATUS FOR RETRIEVAL OF SIMILAR HEART SOUNDS FROM A DATABASE - The present invention exploits a visual rendering of heart sounds and models the morphological variations of audio envelopes through a constrained non-rigid translation transform. Similar heart sounds are then retrieved by recovering the corresponding alignment transform using a variant of shape-based dynamic time warping. | 02-25-2010 |
20110310964 | ECHOCARDIOGRAM VIEW CLASSIFICATION USING EDGE FILTERED SCALE-INVARIANT MOTION FEATURES - According to one embodiment of the present invention, a method for echocardiogram view classification is provided. According to one embodiment of the present invention, a method comprises: obtaining a plurality of video images of a subject; aligning the plurality images; using the aligned images to generate a motion magnitude image; filtering the motion magnitude image using an edge map on image intensity; detecting features on the motion magnitude image, retaining only those features which lie in the neighborhood of intensity edges; encoding the remaining features by generating, x, y image coordinates, a motion magnitude histogram in a window around the feature point, and a histogram of intensity values near the feature point; and using the encoded features to classify the video images of the subject into a predetermined classification. | 12-22-2011 |
20120020563 | Systems and Methods for Automated Extraction of Measurement Information in Medical Videos - Systems and methods providing automated extraction of information contained in video data and uses thereof are described. In particular, systems and associated methods are described that provide techniques for extracting data embedded in video, for example measurement-value pairs of medical videos, for use in a variety of applications, for example video indexing, searching and decision support applications. | 01-26-2012 |
20120288171 | ECHOCARDIOGRAM VIEW CLASSIFICATION USING EDGE FILTERED SCALE-INVARIANT MOTION FEATURES - According to one embodiment of the present invention, a method for echocardiogram view classification is provided. According to one embodiment of the present invention, a method comprises: obtaining a plurality of video images of a subject; aligning the plurality images; using the aligned images to generate a motion magnitude image; filtering the motion magnitude image using an edge map on image intensity; detecting features on the motion magnitude image, retaining only those features which lie in the neighborhood of intensity edges; encoding the remaining features by generating, x, y image coordinates, a motion magnitude histogram in a window around the feature point, and a histogram of intensity values near the feature point; and using the encoded features to classify the video images of the subject into a predetermined classification. | 11-15-2012 |
20120321189 | SYSTEMS AND METHODS FOR AUTOMATED EXTRACTION OF MEASUREMENT INFORMATION IN MEDICAL VIDEOS - Systems and methods providing automated extraction of information contained in video data and uses thereof are described. In particular, systems and associated methods are described that provide techniques for extracting data embedded in video, for example measurement-value pairs of medical videos, for use in a variety of applications, for example video indexing, searching and decision support applications. | 12-20-2012 |
20140270455 | Using RNAi Imaging Data For Gene Interaction Network Construction - Embodiments of the invention relate to a constructing a gene interaction network. Tools are provided to compute a gene relationship measure based upon cellular images, and to rank image collections having a similar morphology. The ranking is based upon capturing similarity within the ranked collection by modeling a three dimensional shape of a cellular image stack. The graph is constructed for related images stacks. Nodes in the graph represent genes, and edges drawn between the nodes represent corresponding image stacks in a commonly ranked list. Accordingly, the graphical representation mathematically and visually connects respective genes. | 09-18-2014 |
20140278128 | Combining RNAi Imaging Data With Genomic Data For Gene Interaction Network Construction - Embodiments of the invention relate to a method, system, and computer program product to construct a gene interaction network by combining two sources of genomic information, namely RNAi imaging data and gene expression data. Tools are provided to gather data, including gene expression data and gene image data, and to compute measurements and relationships, respectively. A graph is constructed with nodes representing genes and edges drawn between the nodes to form gene clusters. The graph is refined such that the shape captures a structural pattern of the cluster. | 09-18-2014 |
20140278131 | Combining RNAi Imaging Data With Genomic Data For Gene Interaction Network Construction - Embodiments of the invention relate to a method for constructing a gene interaction network by combining two sources of genomic information, namely RNAi imaging data and gene expression data. Tools are provided to gather data, including gene expression data and gene image data, and to compute measurements and relationships, respectively. A graph is constructed with nodes representing genes and edges drawn between the nodes to form gene clusters. The graph is refined such that the shape captures a structural pattern of the cluster. | 09-18-2014 |
20140278132 | Using RNAi Imaging Data For Gene Interaction Network Construction - Embodiments of the invention relate to a constructing a gene interaction network. Tools are provided to compute a gene relationship measure based upon cellular images, and to rank image collections having a similar morphology. The ranking is based upon capturing similarity within the ranked collection by modeling a three dimensional shape of a cellular image stack. The graph is constructed for related images stacks. Nodes in the graph represent genes, and edges drawn between the nodes represent corresponding image stacks in a commonly ranked list. Accordingly, the graphical representation mathematically and visually connects respective genes. | 09-18-2014 |