Patent application number | Description | Published |
20080211826 | Circular Intensity Distribution Analysis for the Detection of Convex, Concave and Flat Surfaces - A method for characterizing a shape of an object surface includes acquiring image data including the object. The image data is analyzed at a locus of points that are at a predetermined distance from a point of interest proximate to the object surface to determine which of the locus of points represents a foreground and which of the locus of points represents a background. The shape of the object surface is characterized based on the characterization of the locus of points. | 09-04-2008 |
20090016583 | System and Method for Detecting Spherical and Ellipsoidal Objects Using Cutting Planes - A method for detecting spherical and ellipsoidal objects is digitized medical images includes providing a 2-dimensional (2D) slice I(x, y) extracted from a medical image volume of a colon, said image volume comprising a plurality of intensities associated with a 3 grid of points, generating a plurality of templates of different sizes whose shape matches a target structure being sought in said slice, calculating a normalized gradient from said slice, calculating a diverging field gradient response (DFGR) for each of the plurality of masks with the normalized gradient, and selecting a strongest response as being indicative of the position and size of the target structure. | 01-15-2009 |
20090016591 | Tissue Detection Method for Computer Aided Diagnosis and Visualization in the Presence of Tagging - A method for obtaining a tissue volume, includes inputting a dataset including a plurality of voxels; initializing a tissue probability volume for the plurality of voxels to a pre-determined value; updating, by one of increasing or decreasing the tissue probability volume of each of the plurality of voxels, based on corresponding intensity values of each of the plurality of voxels; and generating the tissue volume by combining the updated tissue probability volume and the inputted dataset. | 01-15-2009 |
20090074272 | Method and system for polyp segmentation for 3D computed tomography colonography - A method and system for polyp segmentation in computed tomography colonogrphy (CTC) volumes is disclosed. The polyp segmentation method utilizes a three-staged probabilistic binary classification approach for automatically segmenting polyp voxels from surrounding tissue in CTC volumes. Based on an input initial polyp position, a polyp tip is detected in a CTC volume using a trained 3D point detector. A local polar coordinate system is then fit to the colon surface in the CTC volume with the origin at the detected polyp tip. Polyp interior voxels and polyp exterior voxels are detected along each axis of the local polar coordinate system using a trained 3D box. A boundary voxel is detected on each axis of the local polar coordinate system based on the detected polyp interior voxels and polyp exterior voxels by boosted 1D curve parsing using a trained classifier. This results in a segmented polyp boundary. | 03-19-2009 |
20090080747 | User interface for polyp annotation, segmentation, and measurement in 3D computed tomography colonography - A method and system for providing a user interface for polyp annotation, segmentation, and measurement in computer tomography colonography (CTC) volumes is disclosed. The interface receives an initial polyp position in a CTC volume, and automatically segments the polyp based on the initial polyp position. In order to segment the polyp, a polyp tip is detected in the CTC volume using a trained 3D point detector. A local polar coordinate system is then fit to the colon surface in the CTC volume with the origin at the detected polyp tip. Polyp interior voxels and polyp exterior voxels are detected along each axis of the local polar coordinate system using a trained 3D box. A boundary voxel is detected on each axis of the local polar coordinate system based on the detected polyp interior voxels and polyp exterior voxels by boosted 1D curve parsing using a trained classifier. This results in a segmented polyp boundary. The segmented polyp is displayed in the user interface, and a user can modify the segmented polyp boundary using the interface. The interface can measure the size of the segmented polyp in three dimensions. The user can also use the interface for polyp annotation in CTC volumes. | 03-26-2009 |
20090097728 | System and Method for Detecting Tagged Material Using Alpha Matting - A method for computer-aided object classification, soft segmentation and layer extraction in computed tomographic colonography includes providing a contrast enhanced computed tomography (CT) digital image of the colon, finding a foreground region of voxels with an intensity higher than a pre-defined foreground threshold, creating a 3D trimap of the colon where the image is segmented into the foreground region, a background region, and an unknown region between the foreground and background, starting from the background, extracting successive layers of the unknown region until the foreground region is reached, and classifying each extracted layer as background or foreground, and generating a foreground matte, a background matte, and an alpha matte, where alpha indicates a mixing ration of foreground and background voxels. | 04-16-2009 |
20090116709 | Structure segmentation via MAR-cut - A method for segmenting image data includes creating a plurality of marching regions within the medical image data. Region-wise segmentation is performed on the plurality of marching regions. Region-wise segmentation may include a normalized cut performed on a graph wherein each marching region represents a node. Region-wise segmentation may also include or may alternatively include a min cut performed on a graph wherein each marching region represents a node. Voxel-wise segmentation is performed on a subset of the plurality of marching regions. | 05-07-2009 |
20090309874 | Method for Display of Pre-Rendered Computer Aided Diagnosis Results - A method for displaying pre-rendered medical images on a workstation includes receiving three-dimensional medical image data. A region of suspicion is automatically identified within the three-dimensional medical image data. A rendering workstation is used to pre-render the three-dimensional medical image data into a sequence of two-dimensional images in which the identified region of suspicion is featured from a vantage point that is automatically selected to maximize diagnostic value of the two-dimensional images for determining whether the region of suspicion is an actual abnormality. The sequence of pre-rendered two-dimensional images is then stored in a PACS, where it can then be displayed on a viewing workstation. | 12-17-2009 |