63 results about "Xeromammogram" patented technology

A method of calculating a disease assessment by analyzing a medical image, comprising (1) extracting at least one lesion feature value from the medical image; (2) extracting at least one risk feature value from the medical image; and (3) determining the disease assessment based on the at least one lesion feature value and the at least one risk feature value. The method employs lesion characterization for characterizing the lesion, and risk assessment based on the lesion's surroundings, i.e., the environment local and distal to the lesion. Computerized methods both characterize mammographic lesions and assess the breast parenchymal pattern on mammograms, resulting in improved characterization of lesions for specific subpopulations, combining the benefits of both techniques.

Numerical image processing of two or more medical images to provide grayscale registration thereof is described, the numerical image processing algorithms being based at least in part on a model of medical image acquisition. The grayscale registered temporal images may then be displayed for visual comparison by a clinician and/or further processed by a computer-aided diagnosis (CAD) system for detection of medical abnormalities therein. A parametric method includes spatially registering two images and performing gray scale registration of the images. A parametric transform model, e.g., analog to analog, digital to digital, analog to digital, or digital to analog model, is selected based on the image acquisition method(s) of the images, i.e., digital or analog/film. Gray scale registration involves generating a joint pixel value histogram from the two images, statistically fitting parameters of the transform model to the joint histogram, generating a lookup table, and using the lookup table to transform and register pixel values of one image to the pixel values of the other image. The models take into account the most relevant image acquisition parameters that influence pixel value differences between images, e.g., tissue compression, incident radiation intensity, exposure time, film and digitizer characteristic curves for analog image, and digital detector response for digital image. The method facilitates temporal comparisons of medical images such as mammograms and/or comparisons of analog with digital images.

A method of enhancing and normalizing x-ray images, particularly mammograms, by correcting the image for digitizer blur, glare from the intensifying screen and the anode-heel effect. The method also allows the calculation of the compressed thickness of the imaged breast and calculation of the contribution to the mammograms of the extra focal radiation. The correction of the image for glare from the intensifying screen allows the detection of noise, such as film shot noise, in the image, and in particular the differentiation between such noise and microcalcifications.

A method for displaying a mammography image. Digital data of the mammography image is obtained. The mammography image is segmented to identify at least a first diagnostically relevant region comprising an image of the breast tissue and a second diagnostically relevant region. A view type is assigned for the image, either cranio-caudal or medio-lateral oblique view, according to a symmetry index calculated from the segmented first diagnostically relevant region. Right or left laterality is assigned to the image according to a laterality feature calculated according to the relative position of at least the second diagnostically relevant region within the image.

Systems and methods that visualize medical data having image rendering circuits configured to substantially concurrently display a first image view of breast tissue using a stack of primary tomosynthesis image data and a second image view of breast tissue using a reference image data set, the second image view rendered from at least one of a 2D X-ray mammogram reference image data set or a reference stack of tomosynthesis image data. The first view is visualized based on: (a) anatomical and/or geometric position properties of the reference image data set of the patient; (b) properties of a current view of the reference image data set of the patient; or (c) anatomical and/or geometric position properties of the reference image data set and properties of a current view of the reference image data set.

A basic component of Computer-Aided Detection systems for digital mammography comprises generating candidate mass locations suitable for further analysis. A component is described that relies on filtering either the background image or the complementary foreground mammographic detail by a purely signal processing method on the one hand or a processing method based on a physical model on the other hand. The different steps of the signal processing approach consist of band-pass filtering the image by one or more band pass filters, multidimensional clustering, iso-contouring of the distance to centroid of the one or more filtered values, and finally candidate generation and segmentation by contour processing. The physics-based approach also filters the image to retrieve a fat-corrected image to model the background of the breast, and the resulting image is subjected to a blob detection filter to model the intensity bumps on the foreground component of the breast that are associated with mass candidates.

A method of characterizing a mass within a digital mammogram. A region of interest is identified that includes the mass and surrounding tissue. A border outline of the mass is identified. A rectangular image is formed wherein each column of the image is formed by repetition of steps. A vector is employed for each of a set of ray angles, wherein the vector extends from a central point of the mass and intersects the border outline at an intersection point. A starting pixel along the vector is identified, between the intersection point and the central point, at a first distance before the intersection point. An ending pixel along the vector is identified at a second distance beyond the intersection point. Pixels along the vector, from the starting pixel to the ending pixel, are remapped as the respective column in the rectangular image. Texture features are extracted from the formed rectangular image.

Simultaneous grayscale and geometric registration of images, such as mammograms, facilitates temporal comparison and enhances the speed and reliability of computer aided diagnosis (CAD) detection of medical abnormalities. The method generally includes optimizing a merit function, e.g., sum of squared errors, containing parameters associated with a transformation function for simultaneous geometric and grayscale registering of the images, the optimizing of the merit function being performed by determining optimal values of the parameters using data in the images and registering one image to the other by applying the geometric and grayscale transformation function using the optimal values of the parameters. The optimizing may be performed iteratively from coarse to fine resolutions using a modified Levenberg-Marquardt method for optimizing nonlinear parameters with linear regression for optimizing linear parameters. A final iteration may be performed after removing pixel value pairs from the images that correspond to outliers of a joint pixel value histogram.

A method and system for converting low-dose mammographic images with much noise into higher quality, less noise, higher-dose-like mammographic images, using of a trainable nonlinear regression (TNR) model with a patch-input-pixel-output scheme, which can be called a call pixel-based TNR (PTNR). An image patch is extracted from an input mammogram acquired at a reduced x-ray radiation dose (lower-dose), and pixel values in the patch are entered into the PTNR as input. The output of the PTNR is a single pixel that corresponds to a center pixel of the input image patch. The PTNR is trained with matched pairs of mammograms, inputting low-dose mammograms together with corresponding desired standard x-ray radiation dose mammograms (higher-dose), which are ideal images for the output images. Through the training, the PTNR learns to convert low-dose mammograms to high-dose-like mammograms. Once trained, the trained PTNR does not require the higher-dose mammograms anymore. When a new reduced x-ray radiation dose (low dose) mammogram is entered, the trained PTNR would output a pixel value similar to its desired pixel value, in other words, it would output high-dose-like mammograms or “virtual high-dose” mammograms where noise and artifacts due to low radiation dose are substantially reduced, i.e., a higher image quality. With the “virtual high-dose” mammograms, the detectability of lesions and clinically important findings such as masses and microcalcifications can be improved.

A system, method, and computer program product for computer analysis of lesions in digitized film-based and/or digital mammograms is described, wherein diagnostic information is combined from two different 2-D mammographic views with the information obtained from one view (or field of view) or mammographic position is processed with information obtained from a second (or a plurality of) related mammographic views to reduce false-positive findings (increase specificity) while preserving or improving diagnostic sensitivity. The digital mammograms or digitized film-based mammograms used, are those that are in current use, and those that conform to the requirements of the American College of Radiology and the Mammography Quality Standards Acts. In a preferred embodiment, a line constructed at the location of the chest wall (or parallel to the chest wall), the location of the nipple, and a line constructed perpendicular to the chest wall datum line and passing through the location of the nipple serve as reference datum across mammogram views. An algorithm locates suspicious lesions in each mammography view and evaluates the concordance of the 3-D spatial locations to rule out physically impossible false-positive findings, based on calculations of spatial relationships. Concordant findings are detected using anatomic landmarks and such findings are reported using terms that are currently in use by physicians and other health care providers in the field of mammography.

A method for displaying a computer-generated determination of the overall likelihood of malignancy in a mammogram lesion. The method requires providing a digitized image of a mammogram, displaying the digitized image, and selecting a region of interest directly on the displayed digitized image. The digitized image is then processed so that classifier data of the lesion in the user-selected region of interest are generated and displayed. The overall likelihood of malignancy is generated from the classifier data and also displayed. A clinical recommendation for further assessing the lesion is derived from the overall evaluation of malignancy and presented to the user. A system for displaying a determination of the overall likelihood of malignancy in a mammogram lesion and for presenting a clinical recommendation to the user is also provided. A method for integrating the overall likelihood of malignancy with a physician's independent score for the lesion is discussed.

A 2D mammogram image is synthesized from at least one of tomosynthesis projection images and/or the tomosynthesis reconstructed image data. In a simplest form, the mammogram may be synthesized by selecting one of the tomosynthesis projection images for display as a synthesized mammogram. Other methods of synthesizing a mammogram include re-projecting and filtering projection data and/or reconstructed data. The synthesized mammogram is advantageously displayed together with at least a portion of the reconstructed data to aid in review of the reconstructed data. The present invention thus provides a familiar image which may be used to facilitate review of a tomosynthesis data set.

The mammary-gland content rate of each of mammograms is calculated. The mammograms are sorted in a certain order based on the mammary-gland content rate of each of the mammograms. Further, the mammograms are displayed according to the order, in which the mammograms have been sorted.

A mammogram recording and read-out apparatus comprises a radiation image detector having a rectangular shape, a detector support section, and a breast support section. A support state of the detector support section is capable of being changed over between a first support state, in which the radiation image detector is supported in an orientation such that a short side of the radiation image detector stands facing the chest wall of an object, and a second support state, in which the radiation image detector is supported in an orientation such that a long side of the radiation image detector stands facing the chest wall of the object.

A device for the computer-assisted analysis of mammograms. Said device comprises means for detecting a contour line that surrounds an object area of the mammogram, which is defined by an object. The device also comprises a means for positioning and scaling the mammogram. The device is configured to determine the contour line of the object area of the mammogram and to automatically position and scale the mammogram based on the contour line. A method for the computer-assisted analysis of mammograms is also disclosed. The disclosed device and method make it easier for a doctor to comparatively analyze and diagnose mammograms.

A method and apparatus for correcting for a distortion in a mammogram. The method comprises classifying pixels as either likely fat or likely not-fat. The method further comprises identifying a candidate distortion and calculating a histogram of the likely fat and the likely not-fat pixels at the candidate distortion. The method further comprises evaluating a quality of the candidate distortion based on features of the histograms of pixel values in the fat and dense tissue classes. The distortion may be a two dimensional tilt of the plates or a three dimensional deformation of the plates as in a bend.

Provided are systems using compression devices for a mammography unit, and methods of using the same, for example, in conjunction with imaging of a patient's breast. The instant mammography units can comprise at least one x-ray transparent inflatable chamber for containing a fluid. When fluid is introduced into the chamber, at least one surface of the chamber expands, breast motion is limited, and the breast and its vasculature are compressed. Fluid may also be released from the chamber, and as the chamber deflates, blood flow to the breast is restored, producing Korotkoff sounds that may be detected by a sound detection device. Sound data may be obtained with respect to both of a patient's breasts, and the sound data from a patient's first breast may be compared with the data obtained from the contralateral breast. The detected sounds, the comparison data, or both may be used to assist a radiologist in identifying regions of interest on a mammogram, and additionally or alternatively may be used to a enhance a computer-assisted detection (CAD) process by contributing additional data parameters.

A method for displaying a computer-generated determination of the likelihood of malignancy in a mammogram lesion. The method requires providing a digitized image of a mammogram, displaying the digitized image, and selecting a region of interest directly on the displayed digitized image. The digitized image is then processed so that classifier data of the lesion in the user-selected region of interest are generated and displayed. A system for displaying a determination of the likelihood of malignancy in a mammogram lesion. The system includes a display for presenting a digitized mammogram and an input device in communication with the display for selectably indicating a region of interest on the displayed mammogram. The system also includes a processor for generating classifier data related to a characterization feature within the region of interest. The classifier data is presented on the display.

Methods, systems, and computer program products for facilitating temporal comparison of medical images is provided, with one exemplary application being for breast mammograms. In one embodiment, prior and subsequent mammographic images of a breast acquired using at least partially different mammogram acquisition systems are displayed for simultaneous viewing on a same mammogram display at an identical tissue distance per unit display distance without requiring a scale-adjusting viewer input. Also described are other embodiments for optimally scaling, windowing and/or otherwise advantageously processing and/or displaying prior and subsequent mammographic image sets in manners that facilitate temporal comparison therebetween.

A multiple resolution converting means administers multiple resolution conversion on a plurality of radiation images, which are targets of comparison, to generate a plurality of band images having different frequency bands. An image processing means administers image processes on the plurality of band images having corresponding frequency bands to match the appearances thereof, based on anatomical information of structures included in the mammogram MA reconstructing means reconstructs the band images, on which the image processes have been administered, to generate processed radiation images.