| Patent application number | Description | Published |
|---|
| 20090034814 | Expanded Pharmacokinetic Model for Population Studies in Breast Magnetic Resonance Imaging (MRI) - A method for pharmacokinetic analysis, including: receiving time-series medical image data of a patient introduced with a contrast agent; identifying a reference region in the medical image data; identifying a plurality of points of interest in the medical image data; measuring an intensity of voxels in the reference region; and for each point of interest, measure an intensity of voxels therein, use the measured reference region and point of interest intensities to obtain an expression relating the point of interest's voxel concentration to that of the reference region, wherein the expression is a five-parameter nonlinear model with no reference to an arterial input function; and obtain values for each of the five-parameters by solving the expression and use the obtained values to determine whether the point of interest is malignant. | 02-05-2009 |
| 20090067693 | Automatic Calibration of Computer Aided Diagnosis Based on Retrospective Examination - A method for automatic detection of lesions within a medical image include acquiring medical image data. Regions of suspicion are automatically identified within the medical image data. It is automatically determined whether each identified region of suspicion is of a benign state, is of a suspicious state that requires a biopsy, or is of an indeterminate state that requires subsequent imaging after a particular length of time. When an identified region of suspicion is determined to be of an indeterminate state, the determination is automatically reconsidered in light of a calibration factor that biases the automatic determination towards either a benign state or a suspicious state. The calibration factor may be based on data collected from follow-up examinations that reveal whether a lesion previously characterized as indeterminate was actually a benign or malignant lesion or on additional diagnostic information including prior image data or non-image data. | 03-12-2009 |
| 20090067694 | Efficient Features for Shape Analysis of Lesions in Breast MR - A method for analyzing a shape of a region of interest in a medical image of a body part, including: finding a region of interest in the medical image; calculating a Reeb graph of the region of interest, and determining whether the region of interest is a malignant lesion candidate based on a shape characteristic of the Reeb graph. | 03-12-2009 |
| 20090067698 | Robust Segmentation of Breast and Muscle in MRI - A method for segmenting an anatomical structure within medical image data includes acquiring medical image data. The medical image data is transformed from an original image space into a projective dual image space. A boundary of an anatomical structure is identified within the transformed medical image data based on a set of preexisting training data. An inverse transform is performed on the transformed medical image data and the identified boundary to convert the transformed medical image data and the identified boundary into the original image space. The inverse transformed identified boundary of the anatomical structure is used to segment the anatomical structure within the acquired medical image data. | 03-12-2009 |
| 20090067751 | Alignment of Fat-Sat and Non-Fat-Sat T1 Weighted Images in MRI Applications - A method for aligning medical images, including: generating a learned joint distribution of intensities of corresponding voxels of images acquired by a first modality and a second modality, wherein the first and second modalities are different from each other; acquiring a first image of a patient using the first modality; acquiring a second image of the patient using the second modality; and aligning the first and second images based on the learned joint distribution. | 03-12-2009 |
| 20090069665 | Automatic Lesion Correlation in Multiple MR Modalities - A method for automatic correlation between multiple magnetic resonance (MR) modalities includes acquiring first MR image data form a first modality. Second MR image data is acquired from a second modality. One or more anatomical landmarks are detected within both the first and second MR image data and the first and second MR image data are automatically correlated based on the detected anatomical landmarks and interpolation using a learning deformation function. The automatic correlation is refined using a local search. | 03-12-2009 |
| 20090069666 | Correction of Intensity Inhomogeneity in Breast MRI - A method for correcting for magnetic field inhomogeneity in a breast MRI, includes acquiring a magnetic resonance (MR) image including a patients breast. A surface image of the breast is automatically isolated within the acquired MR image based on a high contrast between the breast and surrounding air. A multiplicative field that transforms the isolated surface image into a uniform intensity is generated. The generated multiplicative field is applied to the entire acquired MR image to produce a corrected image. | 03-12-2009 |
| 20090069669 | Efficient Features for Detection of Motion Artifacts in Breast MRI - A method for identifying motion artifacts in a dynamic contrast enhanced MRI includes receiving a dynamic contrast enhanced MRI including a patient's breast on which motion correction has been performed. One or more regions of suspicion are automatically identified within the breast based in the dynamic contrast enhanced MRI. The regions of suspicion are examined. A measure of negative enhancement is calculated within a local neighborhood about each identified region of suspicion. Each identified region of suspicion for which the calculated measure of negative enhancement is greater than a predetermined threshold is removed. | 03-12-2009 |
| 20090080740 | Automatic Lesion Detection and Characterization Using Generative Model of Enhancement Dynamics in Breast MR - A method for automatic detection of lesions within MR images includes administering a magnetic contrast agent into a subject. A sequence of MR images are acquired at predetermined intervals of time. One or more regions of suspicion are automatically identified within the MR images. A bidirectional exchange of the magnetic contrast agent between each compartment and its neighboring compartment is monitored for each compartment within each region of suspicion. Each region of suspicion is characterized based on the bidirectional exchange between each of its compartments and their neighboring compartments. | 03-26-2009 |
| 20090080741 | Multi-Scale Analysis of Signal Enhancement in Breast MRI - A method for computer assisted lesion detection in magnetic resonance (MR) images includes acquiring dynamic contrast enhanced (DCE) MR images. The images are processed to produce a subtraction image illustrating change in voxel enhancement between the images. A Gaussian low-pass filter is applied to the subtraction image. An elimination mask is created from the filtered subtraction image by removing voxels with enhancement values below a threshold value. The elimination mask is used to remove noise from the subtraction image. One or more regions of suspicion are automatically detected from the noise-removed subtraction image. To produce the subtraction image, DCE-MR images are divided into first and second sub-sets. Positive-signed enhancement values of voxels of the MR images from the first sub-set are added to a combined subtraction image along with absolute values of all enhancement values of voxels of the MR images from the second sub-set. | 03-26-2009 |
| 20090093711 | Method and System for Automatic Classification of Lesions in Breast MRI - A method for classifying a lesion in an MRI includes acquiring a pre-contrast MR image. A magnetic contrast agent is administered. A set of post-contrast MR images are acquired. The acquired pre-contrast and post-contrast MR images are displayed. A manually entered value is received for a size of a lesion manually identified within the pre-contrast and post-contrast MR images. A manually entered value for an absorption/washout profile is received of the manually identified lesion. A risk of malignancy for the manually identified lesion is automatically determined based on the received size value and absorption/washout profile. | 04-09-2009 |
| 20090238428 | Efficient Estimator Of Pharmacokinetic Parameters in Breast MRI - A method for performing pharmacokinetic analysis in magnetic resonance (MR) images includes administering a dose of contrast agent (CA) into a subject. A sequence of medical images is acquired of the subject at set temporal intervals. The time-based behavior of concentrations of CA is described within the subject for each voxel of each medical image of the sequence of medical images based on a reference voxel using a compartmental model for pharmacokinetic analysis that is based on a set of compartmental model parameters. The compartmental model is solved for each of the compartmental model parameters. The solution for the compartmental model parameters is used to estimate one or more parameters of physiological significance. | 09-24-2009 |
| 20090262999 | Efficient Features for Computer-Aided Detection - Described herein is a technology for facilitating computer-aided detection (CAD). In one implementation, the CAD technology includes receiving an enhancement pattern ( | 10-22-2009 |
| 20090263000 | Iterative Segmentation of Images for Computer-Aided Detection - Described herein is a method and system for facilitating computer-aided detection (CAD). In one implementation, image data is received ( | 10-22-2009 |
| 20100061609 | Quotient Appearance Manifold Mapping For Image Classification - Described herein is a technology for facilitating classification of an object. In one implementation, at least one quotient appearance manifold mapping is constructed from a sample image to untangle appearance fiber bundles. A feature characteristic of the sample image may then be extracted based on the quotient appearance manifold mapping. A classifier may further be trained based on the extracted feature, and adapted for associating the object with an object class. | 03-11-2010 |
| 20100166276 | PROBABILISTIC SEGMENTATION IN COMPUTER-AIDED DETECTION - Described herein is a method and system for facilitating segmentation of images. A difference image is received and processed to extract at least one histogram ( | 07-01-2010 |
| 20100284588 | System and Method for Candidate Generation and New Features Designed for the Detection of Flat Growths - A method for generating candidates from a digital image includes considering at least one point x that may lie on a polypoid structure, determining whether the point x satisfies a first predetermined set of conditions, for each point x that satisfies the predetermined set of conditions, identifying each neighbor point y within a predetermined distance of point x that satisfies a second predetermined set of conditions, determining a gradient vector v | 11-11-2010 |
| 20110044534 | HIERARCHICAL CLASSIFIER FOR DATA CLASSIFICATION - Described herein is a framework for constructing a hierarchical classifier for facilitating classification of digitized data. In one implementation, a divergence measure of a node of the hierarchical classifier is determined. Data at the node is divided into at least two child nodes based on a splitting criterion to form at least a portion of the hierarchical classifier. The splitting criterion is selected based on the divergence measure. If the divergence measure is less than a predetermined threshold value, the splitting criterion comprises a divergence-based splitting criterion which maximizes subsequent divergence after a split. Otherwise, the splitting criterion comprises an information-based splitting criterion which seeks to minimize subsequent misclassification error after the split. | 02-24-2011 |
| 20110063288 | Transfer function for volume rendering - Described herein is a technology for facilitating visualization of image data. In one implementation, rendering is performed by a computer system to generate a three-dimensional representation of a region of interest from the image data based on a transfer function. In one implementation, the transfer function causes the computer system to render voxels representing a material that is likely to occlude the region of interest from a desired viewpoint as at least partially transparent. In addition, one or more features within the region of interest may be visually distinguished according to a color scheme. | 03-17-2011 |
