Abstract: Systems and methods for automatically and dynamically modifying an image acquisition parameter for use in tomosynthesis breast imaging. A selected image acquisition parameter is modified in response to a measured characteristic of an imaged object such as a breast, and thus tailored to provide the highest quality image for the particular object. For example, image quality in a breast tomosynthesis system can be improved by dynamically varying motion and other acquisition parameters of the tomosynthesis system in response to physical characteristics of the breast to be imaged (determined during image acquisition), such as the breast thickness, density or composition.

Abstract: A method and system for computer-aided detection of abnormal lesions in digital mammograms is described, wherein digital films are processed using an automated and computerized method of detecting the order and orientation of a set of films. In one embodiment, anatomic features are used to detect the order, orientation and identification of a film series. In another embodiment of the invention, a technologist feeds films into the system in any order and orientation. After processing, the system provides an output on a display device to a radiologist that is in an order and orientation preferred by the radiologist. In yet another embodiment of the invention, films from one case are distinguished from films of another case. In this manner and through the use of a bulk loader, a large number of films can be stacked together and fed into the system at one time.

Abstract: Systems and methods for automatically and dynamically modifying an image acquisition parameter for use in tomosynthesis breast imaging. A selected image acquisition parameter is modified in response to a measured characteristic of an imaged object such as a breast, and thus tailored to provide the highest quality image for the particular object. For example, image quality in a breast tomosynthesis system can be improved by dynamically varying motion and other acquisition parameters of the tomosynthesis system in response to physical characteristics of the breast to be imaged (determined during image acquisition), such as the breast thickness, density or composition.

Abstract: Systems and methods for automatically and dynamically modifying an image acquisition parameter for use in tomosynthesis breast imaging. A selected image acquisition parameter is modified in response to a measured characteristic of an imaged object such as a breast, and thus tailored to provide the highest quality image for the particular object. For example, image quality in a breast tomosynthesis system can be improved by dynamically varying motion and other acquisition parameters of the tomosynthesis system in response to physical characteristics of the breast to be imaged (determined during image acquisition), such as the breast thickness, density or composition.

Abstract: Display and navigation for multiple computer-aided detection (CAD) detections is described. A medical image is displayed to a viewer, and a request is received to instantiate CAD-assisted viewing. A timewise presentation sequence for the CAD detections is automatically computed according to a predetermined sequencing criterion. For each CAD detection, an expanded presentation window is displayed for its associated location in the medical image, the expanded presentation windows being displayed according to the timewise presentation sequence. Also described is a navigational tool comprising a plot of an operating curve onto which a computed feature associated with the CAD algorithm can be mapped, the operating curve characterizing an application of the CAD algorithm to a reference database of mammographic cases having known diagnoses.

Abstract: Methods, systems, and related computer program products for processing and displaying computer-aided detection (CAD) information associated with medical breast x-ray images, such as breast x-ray tomosynthesis volumes, are described. An interactive graphical user interface for displaying a tomosynthesis data volume is described that includes a display of a two-dimensional composited image having slabbed sub-images spatially localized to marked CAD findings.

Abstract: Systems and methods for automatically and dynamically modifying an image acquisition parameter for use in tomosynthesis breast imaging. A selected image acquisition parameter is modified in response to a measured characteristic of an imaged object such as a breast, and thus tailored to provide the highest quality image for the particular object. For example, image quality in a breast tomosynthesis system can be improved by dynamically varying motion and other acquisition parameters of the tomosynthesis system in response to physical characteristics of the breast to be imaged (determined during image acquisition), such as the breast thickness, density or composition.

Abstract: Methods, systems, and related computer program products for computer-aided detection (CAD) of anatomical abnormalities in medical images are described. A preexisting CAD environment includes a review workstation and a primary CAD processor programmed with a primary CAD algorithm. Installed into the preexisting CAD environment is an auxiliary processing system programmed to receive a first CAD report from the primary CAD processor, apply an auxiliary CAD algorithm that is independent of the primary CAD algorithm to the underlying medical image, apply a voting algorithm to the primary and auxiliary CAD findings, and generate a second CAD report that includes the voting results. The second CAD report is configured to result in a rendering by the review workstation that is highly similar to a rendering that would result from the first CAD report except that the voted CAD findings are substituted in place of the primary CAD findings.

Abstract: Display and navigation for multiple computer-aided detection (CAD) detections is described. A medical image is displayed to a viewer, and a request is received to instantiate CAD-assisted viewing. A timewise presentation sequence for the CAD detections is automatically computed according to a predetermined sequencing criterion. For each CAD detection, an expanded presentation window is displayed for its associated location in the medical image, the expanded presentation windows being displayed according to the timewise presentation sequence. Also described is a navigational tool comprising a plot of an operating curve onto which a computed feature associated with the CAD algorithm can be mapped, the operating curve characterizing an application of the CAD algorithm to a reference database of mammographic cases having known diagnoses.

Abstract: Methods, systems, and related computer program products for processing and displaying computer-aided detection (CAD) information associated with medical breast x-ray images, such as breast x-ray tomosynthesis volumes, are described. An interactive graphical user interface for displaying a tomosynthesis data volume is described that includes a display of a two-dimensional composited image having slabbed sub-images spatially localized to marked CAD findings.

Abstract: Methods, systems, and related computer program products for processing and displaying computer-aided detection (CAD) information associated with medical breast x-ray images, such as breast x-ray tomosynthesis volumes and conventional x-ray mammograms, are described. For one preferred embodiment, CAD findings for several cases (or several individual data volumes) are selectively designated for marking such that a predetermined number of CAD findings per case (or per data volume) are marked for display across all of the cases (or data volumes). In another preferred embodiment, localized breast fibroglandular tissue density information is used together with certainty-of-finding information as a basis for selecting which candidate CAD findings to designate as marked CAD findings, with increased certainty-of-finding being required to mark CAD findings in regions of higher fibroglandular tissue density.

Abstract: A multi-modality cancer screening and diagnosis system fuses CAD information obtained by imaging an immobilized patient using multiple different image acquisition systems to provide a single fused CAD data set. Combining the CAD results of multiple modalities into a single, rich, data set allows the strengths of each imaging modality to be leveraged to improve the sensitivity and specificity of breast cancer diagnosis. The CAD results may be used, together with fused image data, to train a CAD algorithm which may be used to directly process a fused multi-mode image data set.

Abstract: Display and navigation for multiple computer-aided detection (CAD) detections is described. A medical image is displayed to a viewer, and a request is received to instantiate CAD-assisted viewing. A timewise presentation sequence for the CAD detections is automatically computed according to a predetermined sequencing criterion. For each CAD detection, an expanded presentation window is displayed for its associated location in the medical image, the expanded presentation windows being displayed according to the timewise presentation sequence. Also described is a navigational tool comprising a plot of an operating curve onto which a computed feature associated with the CAD algorithm can be mapped, the operating curve characterizing an application of the CAD algorithm to a reference database of mammographic cases having known diagnoses.

Abstract: Methods, systems, and related computer program products for computer-aided detection (CAD) of anatomical abnormalities in a breast volume based on a plurality of two-dimensional x-ray tomosynthesis projection images thereof is described. Each projection image is processed according to at least one predetermined feature extraction algorithm to generate at least one projection feature array corresponding thereto. For each of the at least one predetermined features extracted, the plurality of corresponding projection feature arrays is backprojected according to a predetermined tomosynthesis reconstruction algorithm to form a plurality of two-dimensional tomosynthesis reconstructed feature arrays. Each pixel in the three-dimensional breast geometry is then individually classified as being either a pixel of interest, or not a pixel of interest, based upon the at least one tomosynthesis reconstructed feature array value corresponding to that pixel.

Abstract: Facilitating analysis of one or more mammography images on a review workstation is described. A point or region of interest is identified in a first mammography image of a human breast. The distance between the point or region of interest and a point of reference, preferably the breast nipple, on the first mammography image is determined. A locus of points in a second mammography image of the breast is calculated, the locus of points representing potential locations corresponding to the point or region of interest in the first mammography image, and the calculation being based at least in part on the distance between the point or region of interest and the point of reference. The locus of points is then highlighted a user so as to facilitate a determination by the user of one or more locations in the second mammography image corresponding to the point or region of interest in the first mammography image.

Abstract: Methods, systems and computer program products for controlling display of different types of medical images and providing touchscreen interfaces for display on a mobile communication device and associated with different image types, e.g., different imaging modalities or different view modes. Detection of a multi-finger tap on the screen of the mobile communication device while viewing a first touchscreen interface for an image type invokes a second or auxiliary touchscreen interface for that image type having a subset of interface elements of the first touchscreen interface.

Abstract: Methods, systems and computer program products for controlling display of different types of medical images and providing touchscreen interfaces for display on a mobile communication device and associated with different image types, e.g., different imaging modalities or different view modes. Detection of a multi-finger tap on the screen of the mobile communication device while viewing a first touchscreen interface for an image type invokes a second or auxiliary touchscreen interface for that image type having a subset of interface elements of the first touchscreen interface.

Abstract: Display and navigation for multiple computer-aided detection (CAD) detections is described. A medical image is displayed to a viewer, and a request is received to instantiate CAD-assisted viewing. A timewise presentation sequence for the CAD detections is automatically computed according to a predetermined sequencing criterion. For each CAD detection, an expanded presentation window is displayed for its associated location in the medical image, the expanded presentation windows being displayed according to the timewise presentation sequence. Also described is a navigational tool comprising a plot of an operating curve onto which a computed feature associated with the CAD algorithm can be mapped, the operating curve characterizing an application of the CAD algorithm to a reference database of mammographic cases having known diagnoses.

Abstract: 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.

Abstract: Systems and methods for automatically and dynamically modifying an image acquisition parameter for use in tomosynthesis breast imaging. A selected image acquisition parameter is modified in response to a measured characteristic of an imaged object such as a breast, and thus tailored to provide the highest quality image for the particular object. For example, image quality in a breast tomosynthesis system can be improved by dynamically varying motion and other acquisition parameters of the tomosynthesis system in response to physical characteristics of the breast to be imaged (determined during image acquisition), such as the breast thickness, density or composition.