Patent application number | Description | Published |
20100021026 | COMPUTER-AIDED DETECTION AND DISPLAY OF COLONIC RESIDUE IN MEDICAL IMAGERY OF THE COLON - Methods and systems are presented that improve a radiologist's ability to identify polyps by automatically and more accurately detecting and displaying colonic residue such as tagged or untagged stool or colonic fluid in medical images of the colorectal region. A virtual colonography imaging system obtains medical imagery of the colon. Improved computer-aided detection (CAD) algorithms identify colonic residue in the imagery by calculating feature vectors of and using statistical classification methods to classify regions of colonic residue to distinguish them from false positives. | 01-28-2010 |
20100021030 | AUTOMATED LESION CHARACTERIZATION - A method and system that provides users with additional information regarding imagery analyzed by computer-aided detection (CAD) systems is described. A user selects a region of the analyzed imagery. Information is then derived from computational measurements of the region obtained during CAD processing. The region selected by the user does not necessarily have to include a displayed CAD system detection. The information includes a description of the computational measurement and the value of the measurement, both of which are provided in clinically relevant terms. | 01-28-2010 |
20100067754 | COMPUTER-AIDED DETECTION AND CLASSIFICATION OF SUSPICIOUS MASSES IN BREAST IMAGERY - Methods, a system, and a computer readable medium are presented that detect and classify mass-like regions exhibiting spiculated and/or dense characteristics with high sensitivity and at acceptable false positive rates. One or more suspicious masses are identified in medical imagery of the breast. In accordance with certain embodiments, for each suspicious mass located, a quantitative measure of spiculation and quantitative measure of density are computed. At least one classification scheme is then selected for each suspicious mass according to both quantitative measures. Each classification scheme is developed using true positives and false positives with similar quantitative measures. | 03-18-2010 |
20100128950 | Computer-Aided Detection of Regions of Interest in Tomographic Breast Imagery - Disclosed are methods, and associated systems comprising processors, input devices and output devices, of detecting regions of interest in a tomographic breast image. The methods may comprise: acquiring tomographic breast image data; deriving a plurality of synthetic sub-volumes from the tomographic breast image data; wherein each subvolume is defined by parallel planar top and bottom surfaces; wherein planar top and bottom surfaces of successive subvolumes are parallel to each other; and wherein a top planar surface of a sub-volume is offset from a top planar surface of a prior sub-volume, such that successive sub-volumes overlap; for each sub-volume, deriving a two-dimensional image; for each two-dimensional image, identifying regions of interest therein; deriving at least one region of interest of potential clinical interest from a plurality of identified regions of interest; and outputting information associated with at least one derived region of interest of potential clinical interest. | 05-27-2010 |
20100246912 | SYSTEMS AND METHODS FOR IDENTIFYING SUSPICIOUS ANOMALIES USING INFORMATION FROM A PLURALITY OF IMAGES OF AN ANATOMICAL COLON UNDER STUDY - Systems, computer-readable media, and methods are presented that identify suspicious anomalies in a colon with higher sensitivity and at a lower false positive rate. A plurality of images of an anatomical colon is acquired. Candidate suspicious anomalies are identified in each image. The candidate suspicious anomalies across images are then compared using registration and matching. Features of candidate suspicious anomalies across images may be jointly evaluated to perform classification. | 09-30-2010 |
20110026791 | SYSTEMS, COMPUTER-READABLE MEDIA, AND METHODS FOR CLASSIFYING AND DISPLAYING BREAST DENSITY - Systems, computer-readable media, methods, and a medical imaging system are presented that compute and output a density estimate of a breast. The density estimate may be computed using information from at least two digital images, wherein each image represents a view of at least a portion of the breast from a different specific angle. The density estimate may be computed using information from at least one digital breast image and at least one digital opposite breast image, wherein the at least one digital breast image represents a view of at least a portion of the breast from a specific angle and wherein the at least one digital opposite breast image represents a view of at least a portion of the opposite breast. The density estimate may be computed using computed parenchyma information, the parenchyma information being computed using texture information and density information derived from at least one digital image of at least a portion of the breast. The density estimate may be computed using computed parenchyma information, the parenchyma information being computed from at least one digital image using computed vessel line information, the computed vessel line information being computed from the at least one digital image. | 02-03-2011 |
20140198965 | COMPUTER-AIDED DETECTION OF REGIONS OF INTEREST IN TOMOGRAPHIC BREAST IMAGERY - Disclosed are methods, and associated systems comprising processors, input devices and output devices, of detecting regions of interest in a tomographic breast image. The methods may comprise: acquiring tomographic breast image data; deriving a plurality of synthetic sub-volumes from the tomographic breast image data; wherein each subvolume is defined by parallel planar top and bottom surfaces; wherein planar top and bottom surfaces of successive subvolumes are parallel to each other; and wherein a top planar surface of a sub-volume is offset from a top planar surface of a prior sub-volume, such that successive sub-volumes overlap; for each sub-volume, deriving a two-dimensional image; for each two-dimensional image, identifying regions of interest therein; deriving at least one region of interest of potential clinical interest from a plurality of identified regions of interest; and outputting information associated with at least one derived region of interest of potential clinical interest. | 07-17-2014 |
20150093009 | COMPUTER-AIDED DETECTION OF REGIONS OF INTEREST IN TOMOGRAPHIC BREAST IMAGERY - Disclosed are methods, and associated systems comprising processors, input devices and output devices, of detecting regions of interest in a tomographic breast image. The methods may comprise: acquiring tomographic breast image data; deriving a plurality of synthetic sub-volumes from the tomographic breast image data; wherein each subvolume is defined by parallel planar top and bottom surfaces; wherein planar top and bottom surfaces of successive subvolumes are parallel to each other; and wherein a top planar surface of a sub-volume is offset from a top planar surface of a prior sub-volume, such that successive sub-volumes overlap; for each sub-volume, deriving a two-dimensional image; for each two-dimensional image, identifying regions of interest therein; deriving at least one region of interest of potential clinical interest from a plurality of identified regions of interest; and outputting information associated with at least one derived region of interest of potential clinical interest. | 04-02-2015 |