Abstract: A method for processing a radiographic image of a patient obtains radiographic image data and detects the position of inserted tubing or other foreign object in the obtained image and determines the tubing tip or object location. A region of interest in the neighborhood of the tubing tip or object location is defined and at least one anatomy structure within the region of interest is detected. The probability for mal-positioning of the tip or object is calculated by determining the position of the tip or object relative to the at least one anatomy structure.

Abstract: A method for detecting tubing in a radiographic image of a patient, executed at least in part by a control logic processor, obtains radiographic image data for a patient and identifies a region of interest in the radiographic image. A gradient magnitude image of the region of interest is formed and analyzed to identify one or more linear features by defining a band lying substantially within the region of interest and having a center point and repeating a sequence with two or more iterations of assigning a rotation angle for the rotatable band about the center point and computing the ensemble average of gradient magnitude values along each of a plurality of lines extending within the rotatable band at the defined rotation angle, then computing relative magnitudes for the lines. The one or more identified linear features are evaluated according to the results of the ensemble average computing.

Abstract: A method for detecting tubing in a radiographic image of a patient, executed at least in part by a control logic processor, obtains a radiographic image data for a patient and detects one or more possible tube segments in the image. At least one tubing candidate is formed by extending at least one detected tube segment or merging two or more detected tube segments.

Abstract: A method for rendering a mammography image. Mammography image data is obtained and stored in a computer-readable electronic memory. A mapping transforms the data to an output data space by estimating a relative amount of dense tissue from the image data; identifying at least a first control point that delineates tissue from non-tissue image content and a second control point that delineates a fatty from a dense tissue region; allocating output image data values in the output data space for the identified fatty and dense tissue content according to the estimated relative amount of dense tissue; and mapping image data values to the allocated output image data values according to the first and second control points. The mammography image is rendered on a display according to the mapping.

Abstract: A method and system for determining the bone mineral density of a body extremity. An image of a body extremity is acquired using a mammography x-ray system whereby a bone mineral density can be performed on the image. The system for determining the bone mineral density of a body extremity includes: a support for supporting the body extremity; a detector for capturing an image of the body extremity; and an x-ray source adapted to project an x-ray beam through the body extremity toward the detector, the x-ray source having a voltage of no more than about 45 kVp and having a target/filter combination of rhodium/rhodium, molybdenum/molybdenum, molybdenum/rhodium, or tungsten/rhodium.

Abstract: A method for supporting diagnostic workflow from a medical imaging apparatus. A set of at least two images are obtained from a patient and displayed according to a user-specified image display layout selected from a plurality of image display layouts. One or more markers are associated with a region of interest in the displayed images. A list of regions of interest is generated, each having an entry for each associated marker. A classification is assigned to each entry in the list of regions of interest according to health risk.

Abstract: A method for processing a radiographic image of a patient, executed at least in part on a host processor, initiates exposure in response to an instruction entered from an operator console and obtains radiographic image data from a digital detector that is subjected to the exposure. The obtained radiographic image data is analyzed according to a set of predefined criteria for diagnostic suitability of the image. One or more results of the diagnostic suitability analysis at the operator console is indicated and a listing of one or more corrective actions at the operator console according to the indicated results is provided.

Abstract: A computer aided tube and tip detection method for a radiographic image. Radiographic image data is obtained, and a region of interest in the image is determined. The image is processed to provide edge enhancements forming an edge-enhanced image. Edge segments in the edge-enhanced image are detected. Connected lines from the edge segments are formed to obtain a set of connected lines. A tube structure is identified by pairing one or more pairs of connected lines that are separated by a width dimension in a predetermined range. A tip is detected for the tube structure according to the convergence or divergence of paired connected lines.

Abstract: A method for detecting and analyzing candidate lesions in a magnetic resonance image of a breast. The method includes the steps of: accessing a plurality of temporal magnetic resonance images of the breast; identifying candidate lesions by performing a temporal pattern analysis of the plurality of images to produce temporal features based on an uptake phase and a washout phase; performing a morphological operation on the candidate lesions to produce morphological features; and classifying the candidate lesions using the morphological features and temporal features to produce classified candidate lesions.

Abstract: A method and system for determining the bone mineral density of a body extremity. An image of a body extremity is acquired using a mammography x-ray system whereby a bone mineral density can be performed on the image. The system for determining the bone mineral density of a body extremity includes: a support for supporting the body extremity; a detector for capturing an image of the body extremity; and an x-ray source adapted to project an x-ray beam through the body extremity toward the detector, the x-ray source having a voltage of no more than about 45 kVp and having a target/filter combination of rhodium/rhodium, molybdenum/molybdenum, molybdenum/rhodium, or tungsten/rhodium. An attenuation filter separate from the target/filter combination may be provided between the source and the body extremity, between the body extremity and the detector, or both.

Abstract: A method for determining a candidate lesion region within an ultrasound image. The method includes the steps of: accessing a digital ultrasound image of anatomical tissue; segmenting spatially contiguous pixels in the ultrasound image into a plurality of regions in accordance with substantially similar intensity values and spatial smoothness constraints; and selecting, from the plurality of regions, one or more candidate lesion regions having an intensity value lower than a pre-determined intensity value. In one arrangement, the one or more candidate lesion region is classified into at least one of the following classes: benign, malignant, or unknown.

Abstract: A method and system for determining the bone mineral density of a body extremity. An image of a body extremity is acquired using a mammography x-ray system whereby a bone mineral density can be performed on the image. The system for determining the bone mineral density of a body extremity includes: a support for supporting the body extremity; a detector for capturing an image of the body extremity; and an x-ray source adapted to project an x-ray beam through the body extremity toward the detector, the x-ray source having a voltage of no more than about 45 kVp and having a target/filter combination of rhodium/rhodium, molybdenum/molybdenum, molybdenum/rhodium, or tungsten/rhodium.

Abstract: A networked system for rendering diagnostic image data for display has at least one diagnostic imaging apparatus that obtains digital image data for a patient and is in communication with a computer network. At least one consistency control module executes at a networked processor and is operatively responsive to a set of programmed instructions for accessing and detecting the type of image, for identifying one or more control points in the obtained digital image data, for mapping the input code values of the one or more control points to corresponding predetermined code values, for mapping additional input code values to output values according to the mapping of the one or more control points, and for providing rendered image data as output. A DICOM destination in networked communication with the at least one consistency control module stores or displays the rendered image data.

Abstract: A method for assessing breast density executed at least in part by a computer system, identifies breast tissue from the electronic image data for at least one mammographic image, then performs an initial segmentation of fibroglandular tissue within the breast tissue according to at least one of gradient and uniformity data that is derived from the image data. The initial segmentation is refined using a pixel clustering process. A localized segmentation is obtained from the refined segmentation by generating and combining a density probability mapping and a homogeneity mapping from the image data. A percent density value for the at least one image is calculated and stored in a memory.

Abstract: A method for identifying the orientation of a radiographic image of a patient generates a reduced-scale image having a smaller number of pixel elements than the original radiographic image and generates a reduced bit-depth image from the reduced-scale image. The method determines whether the image has portrait or landscape orientation by sectioning either the reduced-scale image or the reduced bit-depth image into at least two sections and calculating at least one value related to relative symmetry for each of the at least two sections.

Abstract: A method for detecting tubing in a radiographic image of a patient, executed at least in part by a control logic processor, obtains radiographic image data for a patient and identifies a region of interest in the radiographic image. A gradient magnitude image of the region of interest is formed and analyzed to identify one or more linear features by defining a band lying substantially within the region of interest and having a center point and repeating a sequence with two or more iterations of assigning a rotation angle for the rotatable band about the center point and computing the ensemble average of gradient magnitude values along each of a plurality of lines extending within the rotatable band at the defined rotation angle, then computing relative magnitudes for the lines. The one or more identified linear features are evaluated according to the results of the ensemble average computing.

Abstract: A method for estimating the location of an anatomical structure in a diagnostic image of a patient obtains the x-ray data in digital format and detects a first benchmark feature within the x-ray image. A second benchmark feature within the x-ray image is detected. An intersection is located between a first line that extends along the length of the first benchmark feature and a second line that extends from a central point related to the curvature of the second benchmark feature and that intersects with the first line at an angle that is within a predetermined range of angles. The location of the anatomical structure is identified relative to the intersection.

Abstract: A method for detecting tubing in a radiographic image of a patient, executed at least in part by a control logic processor, obtains a radiographic image data for a patient and detects one or more possible tube segments in the image. At least one tubing candidate is formed by extending at least one detected tube segment or merging two or more detected tube segments.

Abstract: A method for mapping radiological image data from a source imaging system to a target imaging system obtains sensitometric response data for both the source and the target imaging systems and identifies an anchor point that relates a specified source signal value to a specified target signal value. A transform is applied to map a range of source signal values to a corresponding range of target signal values, wherein the transform is defined according to the sensitometric response data obtained for both the source and the target imaging systems and according to the identified anchor point.

Abstract: A method for displaying a radiographic image identifies a region of interest in a portion of the radiographic image, suppresses background image content within the identified region of interest, and enhances contrast of the image within the region of interest to form an enhanced region of interest. The enhanced region of interest is displayed within the remaining portion of the radiographic image.