Patent application number | Description | Published |
20080281203 | System and Method for Quasi-Real-Time Ventricular Measurements From M-Mode EchoCardiogram - A method for measuring ventricular dimensions from M-mode echocardiograms, includes providing a digitized M-mode echocardiogram image, running a plurality of local classifiers, where each local classifier trained to detect a landmark on either an end-diastole (ED) line or an end-systole (ES) line in the image, recording all possible landmarks detected by the classifiers, where a search range in an N-dimensional parameter space defined by the landmarks for each dimension is reduced to a union of subsets, where each dimension of the parameter space corresponds a landmark, for each combination of possible landmarks, checking if an order of the landmarks is consistent with a known ordering of the landmarks, and if the order is consistent, running a global detector on each consistent combination of landmarks to find a landmark combination with a highest detection probability as a confirmed landmark detection, where the landmarks are used for measuring ventricular dimensions. | 11-13-2008 |
20090010509 | Method and system for detection of deformable structures in medical images - A method and system for detection of deformable structures in medical images is disclosed. Deformable structures can represent blood flow patterns in images such as Doppler echocardiograms. A probabilistic, hierarchical, and discriminant framework is used to detect such deformable structures. This framework integrates evidence from different primitive levels via a progressive detector hierarchy, including a series of discriminant classifiers. A target deformable structure is parameterized by a multi-dimensional parameter, and primitives or partial parameterizations of the parameter are determined. An input image is received, and a series of primitives are sequentially detected using the progressive detector hierarchy, in which each detector or classifier detects a corresponding primitive. The final detector detects configuration candidates for the deformable structure. | 01-08-2009 |
20090034808 | Automatic Cardiac View Classification of Echocardiography - A method for view classification includes providing a frame of an object of interest, detecting a region of interest within the object of interest for each of a plurality of detectors (e.g., binary classifiers), wherein each binary classifier corresponds to a different view, performing a global view classification using a multiview classifier for each view, outputting a classification for each view, fusing outputs of the multiview classifiers, and determining and outputting a classification of the frame based on a fused output of the multiview classifiers. | 02-05-2009 |
20090310837 | Method and System for Automatic Detection and Measurement of Mitral Valve Inflow Patterns in Doppler Echocardiography - A method and system for segmentation of mitral valve inflow (MI) patterns in Doppler echocardiogram images is disclosed. Trained root detectors are used to detect left root candidates, right root candidates, and peak candidates in an input Doppler echocardiogram image. Two global structure detectors, a single triangle detector for non-overlapping E-waves and A-waves and a double triangle detector for overlapping E-waves and A-waves, are used to detect single triangle candidates and double triangle candidates based on the left root, right root, and peak candidates. A shape profile is used to determine a shape probability for each of the single triangle candidates and each of the double triangle candidates. The best single triangle candidate and the best double triangle candidate are selected based on shape probability and detection probability. One of the best single triangle candidate and the best double triangle candidate is selected as the final segmentation result based on a shape probability comparison. | 12-17-2009 |
20100080434 | Method and System for Hierarchical Parsing and Semantic Navigation of Full Body Computed Tomography Data - A method and apparatus for hierarchical parsing and semantic navigation of a full or partial body computed tomography CT scan is disclosed. In particular, organs are segmented and anatomic landmarks are detected in a full or partial body CT volume. One or more predetermined slices of the CT volume are detected. A plurality of anatomic landmarks and organ centers are then detected in the CT volume using a discriminative anatomical network, each detected in a portion of the CT volume constrained by at least one of the detected slices. A plurality of organs, such as heart, liver, kidneys, spleen, bladder, and prostate, are detected in a sense of a bounding box and segmented in the CT volume, detection of each organ bounding box constrained by the detected organ centers and anatomic landmarks. Organ segmentation is via a database-guided segmentation method. | 04-01-2010 |
20100205142 | APPARATUS, METHOD, SYSTEM AND COMPUTER-READABLE MEDIUM FOR STORING AND MANAGING IMAGE DATA - An apparatus, method, system and computer-readable medium store and manage image data with automatic labeling of image data corresponding to body slices, such as obtained by a computed tomography scanner. The labels include a body coordinate value along the body axis. The respective body coordinate value can be determined by comparing received image data sets with reference data sets with known attached coordinate values utilizing pattern recognition techniques. Applications include medical image data management in hospitals or operating and providing medical networks. Queries for images that include particular body regions are processed more efficiently. This results in less local memory required and narrower bandwidth resources of transmission networks. | 08-12-2010 |
20100254582 | System and Method for Detecting Landmarks in a Three-Dimensional Image Volume - A method and apparatus for detecting vascular landmarks in a 3D image volume, such as a CT volume, is disclosed. One or more guide slices are detected in a 3D image volume. A set of landmark candidates for multiple target vascular landmarks are then detected based on the guide slices. A node potential value for each landmark candidate is generated based on an error value determined using spatial histogram-based error regression, and edge potential values for pairs of landmark candidates are generated based on a bifurcation analysis of the image volume using vessel tracing. The optimal landmark candidate for each target landmark is then determined using a Markov random field model based on the node potential values and the edge potential values. | 10-07-2010 |
20110021915 | Detection of Structure in Ultrasound M-Mode Imaging - Automated detection of structure is provided in ultrasound M-mode imaging. A coarse and fine search for structure is used. For example, a less noise susceptible initial position or range of positions for a given structure is determined. This position is then refined. The coarse positioning and/or the refined position may use machine-trained classifiers. The positions of other structure may be used in either coarse or fine positioning, such as using a Markov Random Field. The structure or structures may be identified in the M-mode image without user input of a location in the M-mode image or along the line. | 01-27-2011 |
20110064291 | Method and System for Detection 3D Spinal Geometry Using Iterated Marginal Space Learning - A method and apparatus for automatic detection and labeling of 3D spinal geometry is disclosed. Cervical, thoracic, and lumbar spine regions are detected in a 3D image. Intervertebral disk candidates are detected in each of the spine regions using iterative marginal space learning (MSL). Using a global probabilistic spine model, a separate one of the intervertebral disk candidates is selected for each of a plurality of labeled intervertebral disk locations. | 03-17-2011 |
20110087443 | Three-Dimensional Visualization and Analysis Method and System for Non-Destructive Examination of a Rotor Bore using Ultrasound - A method and apparatus for three-dimensional (3D) visualization and analysis for automatic non-destructive examination of a rotor bore using ultrasound. Data is acquired by scanning the rotor bore with an ultrasound pulser/transducer producing a plurality of one-dimensional ultrasound scans, each scan having a plurality of sample points. Each sample point is associated with a voxel of a regular 3D grid having a plurality of voxels. A Gaussian kernel is associated with each sample point and a value for a particular voxel is determined based on a weighted sum of sample points whose kernels cover the particular voxel. The values for the other voxels of the regular 3D grid are determined similarly. A 3D visualization of the rotor bore can be displayed to a user. | 04-14-2011 |
20110109627 | Method and Apparatus for Three-Dimensional Visualization and Analysis for Automatic Non-Destructive Examination of a Solid Rotor using Ultrasonic Phased Array - A method and apparatus for three-dimensional visualization and analysis for automatic non-destructive examination of a solid Rotor using ultrasonic phased array is disclosed. Data is acquired by scanning a solid rotor with a phased array ultrasound transducer producing a plurality of two dimensional ultrasound scans. Each of a plurality of sample points of a plurality of two dimensional ultrasound scans are associated with a corresponding 3D image point of a regular grid. A kernel function for each of the plurality of sample points defining a size and shape of a kernel located at the corresponding image point is determined. A weight is assigned to each kernel which, in one embodiment, is based on the sample point value. A value for each image point of the regular 3D grid is determined based on kernels overlapping each image point. A three-dimensional volume representing the solid rotor is then visualized. | 05-12-2011 |
20110191283 | Method and System for Medical Decision Support Using Organ Models and Learning Based Discriminative Distance Functions - A method and system for providing medical decision support based on virtual organ models and learning based discriminative distance functions is disclosed. A patient-specific virtual organ model is generated from medical image data of a patient. One or more similar organ models to the patient-specific organ model are retrieved from a plurality of previously stored virtual organ models using a learned discriminative distance function. The patient-specific valve model can be classified into a first class or a second class based on the previously stored organ models determined to be similar to the patient-specific organ model. | 08-04-2011 |
20110222751 | Method and System for Automatic Detection and Segmentation of Axillary Lymph Nodes - A method and system for automatically detecting and segmenting lymph nodes in a 3D medical image, such as a CT image, is disclosed. A plurality of lymph node center point candidates are detected in the 3D medical image. A lymph node candidate is segmented for each of the detected lymph node center point candidates. Lymph nodes are detected from the segmented lymph node candidates by verifying the segmented lymph node candidates using a trained lymph node classifier. | 09-15-2011 |
20110224542 | Method and System for Automatic Detection and Classification of Coronary Stenoses in Cardiac CT Volumes - A method and system for providing detecting and classifying coronary stenoses in 3D CT image data is disclosed. Centerlines of coronary vessels are extracted from the CT image data. Non-vessel regions are detected and removed from the coronary vessel centerlines. The cross-section area of the lumen is estimated based on the coronary vessel centerlines using a trained regression function. Stenosis candidates are detected in the coronary vessels based on the estimated lumen cross-section area, and the significant stenosis candidates are automatically classified as calcified, non-calcified, or mixed. | 09-15-2011 |
20110243386 | Method and System for Multiple Object Detection by Sequential Monte Carlo and Hierarchical Detection Network - A method and system for detecting multiple objects in an image is disclosed. A plurality of objects in an image is sequentially detected in an order specified by a trained hierarchical detection network. In the training of the hierarchical detection network, the order for object detection is automatically determined. The detection of each object in the image is performed by obtaining a plurality of sample poses for the object from a proposal distribution, weighting each of the plurality of sample poses based on an importance ratio, and estimating a posterior distribution for the object based on the weighted sample poses. | 10-06-2011 |
20110243407 | Data Transmission in Remote Computer Assisted Detection - For cloud-based computer assisted detection, hierarchal detection is used, allowing detection on data at progressively greater resolutions. Detected locations at coarser resolutions are used to limit the data transmitted at greater resolutions. Data is only transmitted for neighborhoods around the previously detected locations. Subsequent detection using higher resolution data refines the locations, but only for regions associated with previous detection. By limiting the number and/or size of regions provided at greater resolutions based on the previous detection, the progressive transmission avoids transmission of some data. Additionally, or alternatively, lossy compression may be used without or with minimal reduction in detection sensitivity. | 10-06-2011 |
20120069003 | Method and System for Evaluation Using Probabilistic Boosting Trees - A method and system for evaluating probabilistic boosting trees is disclosed. In an embodiment, input data is received at a graphics processing unit. A weighted empirical distribution associated with each node of the probabilistic boosting tree is determined using a stack implementation. The weighted empirical distribution associated with each node is added to a total posterior distribution value. | 03-22-2012 |
20120069017 | Method and System for Efficient Extraction of a Silhouette of a 3D Mesh - A method and system for extracting a silhouette of a 3D mesh representing an anatomical structure is disclosed. The 3D mesh is projected to two dimensions. Silhouette candidate edges are generated in the projected mesh by pruning edges and mesh points based on topology analysis of the projected mesh. Each silhouette candidate edge that intersects with another edge in the projected mesh is split into two silhouette candidate edges. The silhouette is extracted using an edge following process on the silhouette candidate edges. | 03-22-2012 |
20120070046 | Method and System for Detection and Tracking of Coronary Sinus Catheter Electrodes in Fluoroscopic Images - A method and system for detecting and tracking coronary sinus (CS) catheter electrodes in a fluoroscopic image sequence is disclosed. An electrode model is initialized in a first frame of the fluoroscopic image sequence based on input locations of CS sinus catheter electrodes in the first frame. The electrode model is tracked in subsequent frames of the fluoroscopic image sequence by detecting electrode position candidates in the subsequent frames of the fluoroscopic image sequence using at least one trained electrode detector, generating electrode model candidates in the subsequent frames based on the detected electrode position candidates, calculating a probability score for each of the electrode model candidates, and selecting an electrode model candidate based on the probability score. | 03-22-2012 |
20120070053 | Method and System for Vascular Landmark Detection - The present invention provides a method and system for vascular landmark detection in CT volumes. A CT volume is received and an initial position of a plurality of vascular landmarks is detected. The initial position of each of the plurality of vascular landmarks is then adjusted in order to position each vascular landmark inside a vessel lumen. A new position of each of the plurality of vascular landmarks representing the adjusted initial positions is output. | 03-22-2012 |
20120070055 | Method and System for Liver Lesion Detection - A method and system for automatically detecting liver lesions in medical image data, such as 3D CT images, is disclosed. A liver region is segmented in a 3D image. Liver lesion center candidates are detected in the segmented liver region. Lesion candidates are segmented corresponding to the liver lesion center candidates, and lesions are detected from the segmented lesion candidates using learning based verification. | 03-22-2012 |
20120070074 | Method and System for Training a Landmark Detector using Multiple Instance Learning - An apparatus and method for training a landmark detector receives training data which includes a plurality of positive training bags, each including a plurality of positively annotated instances, and a plurality of negative training bags, each including at least one negatively annotated instance. Classification function is initialized by training a first weak classifier based on the positive training bags and the negative training bags. All training instances are evaluated using the classification function. For each of a plurality of remaining classifiers, a cost value gradient is calculated based on spatial context information of each instance in each positive bag evaluated by the classification function. A gradient value associated with each of the remaining weak classifiers is calculated based on the cost value gradients, and a weak classifier is selected which has a lowest associated gradient value and given a weighting parameter and added to the classification function. | 03-22-2012 |
20120071755 | Method and System for Automatic Native and Bypass Coronary Ostia Detection in Cardiac Computed Tomography Volumes - A method and system for detection of native and bypass coronary ostia in a 3D volume, such as a CT volume, is disclosed. Native coronary ostia are detected by detecting a bounding box defining locations of a left native coronary ostium and a right native coronary ostium in the 3D volume using marginal space learning (MSL), and locally refining the locations of the left native coronary ostium and the right native coronary ostium using a trained native coronary ostium detector. Bypass coronary ostia are detected by segmenting an ascending aorta surface mesh in the 3D volume, generating a search region of a plurality of mesh points on the ascending aorta surface mesh based on a distribution of annotated bypass coronary ostia in a plurality of training volumes, and detecting the bypass coronary ostia by searching the plurality of mesh points in the search region. | 03-22-2012 |
20120093397 | Method and System for Learning Based Object Detection in Medical Images - Methods and Systems for training a learning based classifier and object detection in medical images is disclosed. In order to train a learning based classifier, positive training samples and negative training samples are generated based on annotated training images. Features for the positive training samples and the negative training samples are extracted. The features include an extended Haar feature set including tip features and corner features. A discriminative classifier is trained based on the extracted features. | 04-19-2012 |
20120106810 | Automated Rib Ordering and Pairing - Ribs are automatically ordered and paired. After ordering ribs on each side, magnetic and spring functions are used to solve for rib pairing. The magnetic function is used to constrain possible pairs across sides, and the spring function is used to maintain the order on each side while accounting for missing or fused ribs. | 05-03-2012 |
20120128266 | Reconstruction of Phased Array Data - An image reconstruction method includes receiving volume data comprising a plurality of sampling points, determining a first conditioning of the sampling points suppressing low amplitudes and conserving maximum amplitudes, determining a second conditioning of the sampling points wherein an influence of a sampling point depends on its distance to a grid point in a sampling grid, determining a kernel comprising a plurality of weighting functions for the first conditioning and the second conditioning to determine an energy spread of each of the plurality of sampling points without determining a shape or size of the kernel, and outputting a reconstructed volume according to the energy spread of each of the plurality of sampling points. | 05-24-2012 |
20120183193 | Method and System for Automatic Detection of Spinal Bone Lesions in 3D Medical Image Data - A method and system for automatic detection and volumetric quantification of bone lesions in 3D medical images, such as 3D computed tomography (CT) volumes, is disclosed. Regions of interest corresponding to bone regions are detected in a 3D medical image. Bone lesions are detected in the regions of interest using a cascade of trained detectors. The cascade of trained detectors automatically detects lesion centers and then estimates lesion size in all three spatial axes. A hierarchical multi-scale approach is used to detect bone lesions using a cascade of detectors on multiple levels of a resolution pyramid of the 3D medical image. | 07-19-2012 |
20120203530 | Method and System for Patient-Specific Computational Modeling and Simulation for Coupled Hemodynamic Analysis of Cerebral Vessels - A method and system for patient-specific computational modeling and simulation for coupled hemodynamic analysis of cerebral vessels is disclosed. An anatomical model of a cerebral vessel is extracted from 3D medical image data. The anatomical model of the cerebral vessel includes an inner wall and an outer wall of the cerebral vessel. Blood flow in the cerebral vessel and deformation of the cerebral vessel wall are simulated using coupled computational fluid dynamics (CFD) and computational solid mechanics (CSM) simulations based on the anatomical model of the cerebral vessel. | 08-09-2012 |
20120220855 | Method and System for MR Scan Range Planning - A method and system for determining a scan range for a magnetic resonance (MR) scan is disclosed. A plurality of 2D localizer images are received. A most likely position is detected in each localizer image for each of a plurality of anatomical landmarks associated with a target organ in each localizer image. A scan range is determined based on the detected most likely positions of each anatomic landmark in the localizer images. | 08-30-2012 |
20120230568 | Method and System for Model-Based Fusion of Multi-Modal Volumetric Images - A method and system for fusion of multi-modal volumetric images is disclosed. A first image acquired using a first imaging modality is received. A second image acquired using a second imaging modality is received. A model and of a target anatomical structure and a transformation are jointly estimated from the first and second images. The model represents a model of the target anatomical structure in the first image and the transformation projects a model of the target anatomical structure in the second image to the model in the first image. The first and second images can be fused based on estimated transformation. | 09-13-2012 |
20120230572 | Method and System for Multi-Organ Segmentation Using Learning-Based Segmentation and Level Set Optimization - A method and system for automatic multi-organ segmentation in a 3D image, such as a 3D computed tomography (CT) volume using learning-base segmentation and level set optimization is disclosed. A plurality of meshes are segmented in a 3D medical image, each mesh corresponding to one of a plurality of organs. A level set in initialized by converting each of the plurality of meshes to a respective signed distance map. The level set optimized by refining the signed distance map corresponding to each one of the plurality of organs to minimize an energy function. | 09-13-2012 |
20120321174 | Image Processing Using Random Forest Classifiers - A method of performing image retrieval includes training a random forest RF classifier based on low-level features of training images and a high-level feature, using similarity values generated by the RF classifier to determine a subset of the training images that are most similar to one another, and classifying input images for the high-level feature using the RF classifier and the determined subset of images. | 12-20-2012 |
20130070996 | Method and System for Up-Vector Detection for Ribs in Computed Tomography Volumes - A method and system for up-vector detection for ribs in a 3D medical image volume, such as a computed tomography (CT) volume is disclosed. A rib centerline of at least one rib is extracted in a 3D medical image volume. An up-vector is automatically detected at each of a plurality of centerline points of the rib centerline of the at least one rib. The up-vector at each centerline point can be detected using a trained regression function. Alternatively, the up-vector at each centerline point can be detected by detecting an ellipse shape in a cross-sectional rib image generated at each centerline point. | 03-21-2013 |
20130072782 | SYSTEM AND METHOD FOR AUTOMATIC MAGNETIC RESONANCE VOLUME COMPOSITION AND NORMALIZATION - A method and system for automatic magnetic resonance (MR) volume composition and normalization is disclosed. In one embodiment, a plurality of MR volumes is received. A composite MR volume is generated from the plurality of MR volumes. Volume normalization of the composite MR volume is then performed to correct intensity inhomogeneity in the composite MR volume. The volume normalization of the composite MR volume may be performed using template MR volume or without a template MR volume. | 03-21-2013 |
20130077841 | Method and System for Automatic Rib Centerline Extraction Using Learning Base Deformable Template Matching - A method and system for extracting rib centerlines in a 3D volume, such as a 3D computed tomography (CT) volume, is disclosed. Rib centerline voxels are detected in the 3D volume using a learning based detector. Rib centerlines or the whole rib cage are then extracted by matching a template of rib centerlines for the whole rib cage to the 3D volume based on the detected rib centerline voxels. Each of the extracted rib centerlines are then individually refined using an active contour model. | 03-28-2013 |
20130077842 | Semi-Automated Preoperative Resection Planning - Preoperative resection planning is assisted by a computer. Rather than rely on interpolation of the user input, a graph of interconnections is used. The user inputs one or more polylines on one or more two-dimensional views. The polylines are used to assign resection and remnant seeds with a band of unassigned locations. The 2D seeds are used with the graph of interconnections to assign different voxels in the volume, including the unassigned locations, as being part of the resection volume or part of the remnant volume. | 03-28-2013 |
20130121545 | Method and System for Automatic Lung Segmentation in Magnetic Resonance Imaging Videos - A method and system for automatic lung segmentation in magnetic resonance imaging (MRI) images and videos is disclosed. A plurality of predetermined key landmarks of a lung are detected in an MRI image. The key landmarks may be detected using discriminative joint contexts representing combinations of multiple key landmarks. A lung boundary is segmented in the MRI image based on the detected key landmarks. The landmark detection and the lung boundary segmentation can be repeated in each frame of an MRI video. | 05-16-2013 |
20130177230 | IMPLANT POSE DETERMINATION IN MEDICAL IMAGING - The pose of an implant represented in a medical image is determined from the medical image. The x-ray image of the implant is compared to a database of the implant viewed at different poses (e.g., viewed from different directions). The implant pose associated with the best match indicates the pose of the implant in the x-ray image. | 07-11-2013 |
20130191039 | METHOD AND SYSTEM OF DETERMINISTIC FATIGUE LIFE PREDICTION FOR ROTOR MATERIALS - A method of fatigue life prediction including: calculating a critical crack size of an object of interest; identifying a first flaw in ultrasound data of the object of interest; determining that the first flaw interacts with a second flaw, the first flaw is to be merged with the second flaw, or the first flaw is isolated; calculating an initial crack size based on the determination; and calculating an increase in the initial crack size due to fatigue and creep to determine a number of load cycles until the initial crack size reaches the critical crack size. | 07-25-2013 |
20130191041 | INSULATION DEFECT DETECTION OF HIGH VOLTAGE GENERATOR STATOR CORE - In a general methodology for insulation defect identification in a generator core, a Chattock coil is used to measure magnetic potential difference between teeth. Physical knowledge and empirical knowledge is combined in a model to predict insulation damage location and severity. Measurements are taken at multiple excitation frequencies to solve for multiple characteristics of the defect. | 07-25-2013 |
20130223704 | Method and System for Joint Multi-Organ Segmentation in Medical Image Data Using Local and Global Context - A method and system for segmenting multiple organs in medical image data is disclosed. A plurality of landmarks of a plurality of organs are detected in a medical image using an integrated local and global context detector. A global posterior integrates evidence of a plurality of image patches to generate location predictions for the landmarks. For each landmark, a trained discriminative classifier for that landmark evaluates the location predictions for that landmark based on local context. A segmentation of each of the plurality of organs is then generated based on the detected landmarks. | 08-29-2013 |
20130268214 | PROBABILISTIC FATIGUE LIFE PREDICTION USING ULTRASONIC INSPECTION DATA CONSIDERING EIFS UNCERTAINTY - A method for probabilistically predicting fatigue life in materials includes sampling a random variable for an actual equivalent initial flaw size (EIFS), generating random variables for parameters (ln C, m) of a fatigue crack growth equation | 10-10-2013 |
20140029823 | Method and System for Automatic Prostate Segmentation in Magnetic Resonance Images - A method and system for fully automatic segmentation the prostate in magnetic resonance (MR) image data is disclosed. Intensity normalization is performed on an MR image of a patient to adjust for global contrast changes between the MR image and other MR scans and to adjust for intensity variation within the MR image due to an endorectal coil used to acquire the MR image. An initial prostate segmentation in the MR image is obtained by aligning a learned statistical shape model of the prostate to the MR image using marginal space learning (MSL). The initial prostate segmentation is refined using one or more trained boundary classifiers. | 01-30-2014 |
20140086465 | MULTI-BONE SEGMENTATION FOR 3D COMPUTED TOMOGRAPHY - Multiple object segmentation is performed for three-dimensional computed tomography. The adjacent objects are individually segmented. Overlapping regions or locations designated as belonging to both objects may be identified. Confidence maps for the individual segmentations are used to label the locations of the overlap as belonging to one or the other object, not both. This re-segmentation is applied for the overlapping local, and not other locations. Confidence maps in re-segmentation and application just to overlap locations may be used independently of each other or in combination. | 03-27-2014 |
20140093153 | Method and System for Bone Segmentation and Landmark Detection for Joint Replacement Surgery - A method and system for automatic bone segmentation and landmark detection for joint replacement surgery is disclosed. A 3D medical image of at least a target joint region of a patient is received. A plurality bone structures are automatically segmented in the target joint region of the 3D medical image and a plurality of landmarks associated with a joint replacement surgery are automatically detected in the target joint region of the 3D medical image. The boundaries of segmented bone structures can then be interactively refined based on user inputs. | 04-03-2014 |
20140100798 | TURBINE BLADE FATIGUE LIFE ANALYSIS USING NON-CONTACT MEASUREMENT AND DYNAMICAL RESPONSE RECONSTRUCTION TECHNIQUES - A method dynamically reconstructing a stress and strain field of a turbine blade includes providing a set of response measurements from at least one location on a turbine blade, band-pass filtering the set of response measurements based on an upper frequency limit and a lower frequency limit, determining an upper envelope and a lower envelope of the set of response measurements from local minima and local maxima of the set of response measurements, calculating a candidate intrinsic mode function (IMF) from the upper envelope and the lower envelope of the set of response measurements, providing an N×N mode shape matrix for the turbine blade, where N is the number of degrees of freedom of the turbine blade, when the candidate IMF is an actual IMF, and calculating a response for another location on the turbine blade from the actual IMF and mode shapes in the mode shape matrix. | 04-10-2014 |
20140100827 | CONSTRUCTION OF ENTROPY-BASED PRIOR AND POSTERIOR PROBABILITY DISTRIBUTIONS WITH PARTIAL INFORMATION FOR FATIGUE DAMAGE PROGNOSTICS - A method for predicting fatigue crack growth in materials includes providing a prior distribution obtained using response measures from one or more target components using a fatigue crack growth model as a constraint function, receiving new crack length measurements, providing a posterior distribution obtained using the new crack length measurements, and sampling the posterior distribution to obtain crack length measurement predictions. | 04-10-2014 |
20140200853 | SYSTEM AND METHOD FOR IDENTIFICATION, GROUPING AND SIZING OF EMBEDDED FLAWS IN ROTOR COMPONENTS USING ULTRASONIC INSPECTION - A method and software system for flaw identification, grouping and sizing for fatigue life assessment for rotors used in turbines and generators. The method includes providing ultrasonic data of a plurality of rotor slices and providing volume reconstruction of the ultrasonic data. The method also includes providing in-slice identification, grouping and sizing of flaw indications in the rotor based on the volume reconstruction. Further, the method includes providing inter-slice identification, grouping and sizing of the flaw indications based on the in-slice flaw indications and providing flaw location and size information. The method can be used in both phased-array and A-scan inspections. | 07-17-2014 |
20140219548 | Method and System for On-Site Learning of Landmark Detection Models for End User-Specific Diagnostic Medical Image Reading - A method and system for on-line learning of landmark detection models for end-user specific diagnostic image reading is disclosed. A selection of a landmark to be detected in a 3D medical image is received. A current landmark detection result for the selected landmark in the 3D medical image is determined by automatically detecting the selected landmark in the 3D medical image using a stored landmark detection model corresponding to the selected landmark or by receiving a manual annotation of the selected landmark in the 3D medical image. The stored landmark detection model corresponding to the selected landmark is then updated based on the current landmark detection result for the selected landmark in the 3D medical image. The landmark selected in the 3D medical image can be a set of landmarks defining a custom view of the 3D medical image. | 08-07-2014 |
20140254907 | Automatic Spinal Canal Segmentation Using Cascaded Random Walks - A method and apparatus for automatic spinal canal segmentation in medical image data, such as computed tomography (CT) image data, is disclosed. An initial set of spinal canal voxels is detected in the 3D medical image using a trained classifier. A spinal canal topology defined by a current set of spinal canal voxels is refined based on an estimated medial line of the spinal canal. Seed points are sampled based on the refined spinal canal topology. An updated set of spinal canal voxels is detected in the 3D medical image using random walks segmentation based on the sampled seed points. The spinal canal topology refinement, seed points sampling, and random walks segmentation are repeated in order to provide cascaded random walks segmentation to generate a final spinal canal segmentation result. | 09-11-2014 |
20150051484 | Histological Differentiation Grade Prediction of Hepatocellular Carcinoma in Computed Tomography Images - A method of determining the histological grade of Hepatocellular Carcinoma (HCC) including: acquiring a Computed Tomography (CT) image of a person including an HCC tumor; delineating the HCC tumor; and assigning a histological grade to the HCC tumor, wherein assigning the histological grade to the HCC tumor includes: applying a plurality of filters to the HCC tumor, wherein each of the filters produces a corresponding response image and, for each of the filters, a convolution operation is performed on the filter and the CT image to produce the response image corresponding to that filter; computing an average response of the HCC tumor in each of the response images and recording each of the average responses as an Independent Subspace Analysis (ISA) feature; and determining the histological grade of the HCC tumor based on the ISA features by using a classifier. | 02-19-2015 |
20150078645 | System and Method for Data Driven Editing of Rib Unfolding - A method and apparatus for data driven editing of rib centerlines is disclosed. A user input location indicating an inaccuracy in a rib centerline extracted from a medical image volume is received. A local correction of the rib centerline is performed. A portion of the rib surrounding a current centerline point to be corrected is segmented based on image data of the medical image volume. A corrected centerline point for the current centerline point is generated based on the segmented portion of the rib. The centerline correction is then extended to subsequent points along the rib centerline. | 03-19-2015 |
20150087957 | EARLY THERAPY RESPONSE ASSESSMENT OF LESIONS - For therapy response assessment, texture features are input for machine learning a classifier and for using a machine learnt classifier. Rather than or in addition to using formula-based texture features, data driven texture features are derived from training images. Such data driven texture features are independent analysis features, such as features from independent subspace analysis. The texture features may be used to predict the outcome of therapy based on a few number of or even one scan of the patient. | 03-26-2015 |