|iCAD, Inc. Patent applications|
|Patent application number||Title||Published|
|20110206250||SYSTEMS, COMPUTER-READABLE MEDIA, AND METHODS FOR THE CLASSIFICATION OF ANOMALIES IN VIRTUAL COLONOGRAPHY MEDICAL IMAGE PROCESSING - This discloses methods and systems for the processing of medical image data of a colon acquired with an imaging device, such as a computerized tomography (“CT”) scanner and more particularly, to methods and systems for the classification of structures or objects in said medical image data. The disclosed methods and systems analyze image data for objects such as rectal tubes or stools, or for clusters of suspicious regions, and may eliminate such objects from further analysis prior to presenting potential polyps to a user.||08-25-2011|
|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|
|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|
Patent applications by iCAD, Inc.