摘要:
This invention provides a method for detecting abnormalities in medical images, particularly for the detection of polyps in the colon from computed tomography imagery. Specifically a set of colon masks is input to a detector where summations over spherical volumes with two different radii are computed. Abnormalities are detected based on the ratio of spherical summation values computed for every pixel location.
摘要:
A method and system for tracking medical images and associated digital images for diagnostic evaluation. The system includes a scanner for digitizing one or more medical images defining a case to thereby produce one or more digitized medical images and for reading a machine-readable tracking identifier attached to each medical image of the case. A server associates the tracking identifier with one or more digitized medical images and one or more computer-aided diagnostic (CAD) images, wherein the one or more CAD images correspond to the one or more digitized medical images that are processed using a CAD algorithm. The system stores the associated tracking identifier, the one or more digitized medical images, and the one or more CAD images in a storage device. The server receives and processes a medical image request including the tracking identifier to retrieve at least one of the one or more digitized medical images or the one or more CAD images from the storage device using the tracking identifier.
摘要:
This invention provides a system and method for assessing risk of a breast cancer diagnosis based upon imagery of tissue and (optionally) other patient-related factors. A CAD (or similar) system analyzes the imagery and generates a plurality of numerical feature values. An assessment module receives inputs from patient factors and history and computes the risk based upon the feature values and the patient factors and history. A masking module receives inputs from the patient factors and history, and computes the risk of having a cancer, which cancer is otherwise characterized by a low probability of detection, based upon the feature values and the patient factors and history. A recall module receives inputs from the assessment module and the masking assessment module, and generates a computer-aided indication of a clinical follow-up by the patient. Results of assessment(s) can be displayed to the clinician and/or patient using a graphical interface display.
摘要:
This invention provides a system, method and computer-readable medium for detecting and localizing organs and other regions of interest in medical image data provided by a medical imaging procedure using gradient template information with respect to an example of the imaged organ and cross-correlation techniques to generate object detection information. In an embodiment, the detection and localization process/processor receives a plurality of gradient templates and employers a template with the closest matching cross-correlation to the gradient of the organ in the medical image.
摘要:
Systems, computer-readable media, methods, and a medical imaging apparatus for improving the automated detection of suspicious regions of interest in x-ray images of anatomical organs under study are disclosed. Noise effects in x-ray images are suppressed to predetermined levels by filtering the original x-ray images and then combining the original images with the filtered images in such a way that the predetermined noise value is met. The resulting modified x-ray images then may be analyzed to automatically detect suspected breast microcalcifications or other suspicious regions of interest. In addition, three-dimensional digital images of anatomical organs may be computed from a plurality of such modified x-ray images of an anatomical organ taken from different angles, as in CT imaging, and the three-dimensional digital images may be processed to automatically detect suspicious regions of interest.
摘要:
A method for performing a high-resolution pharmacokinetic analysis for calculation of tissue parameters for a fast-enhancing tissue enables medical personnel to accurately determine pharmacokinetic parameters in fast-enhancing tissues. The method includes obtaining mask image data of the tissue when it is in a steady state condition, obtaining a time series of image data of the tissue when the contrast agent is flowing in the tissue, and increasing a spatial resolution of the time series of image data using the mask image data to obtain a time series of increased spatial resolution image data. The method further includes performing a pharmacokinetic analysis to obtain data including at least one parameter that characterizes the tissue, providing a multi-parameter look-up table derived from a combination of two or more parameters, and providing a display including one parameter or a parametric image, where the parametric image is derived from the look-up table.
摘要:
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.
摘要:
A decision rule is used that examines the computer-aided detected (CAD) regions of interest in a computed tomography (CT) slice pair taken from volumetric medical CT scan to determine whether the detected regions of interest are part of the same object is disclosed. Segmentation is performed after initially detecting a region of interest but before calculating features in order to refine the boundaries of the detected regions of interest. Segmentation occurs in the two-dimensional slices by segmenting the region of interest on each slice. Adjacent slices are examined to determine if adjacent objects are actually part of the same structure. If they are not, the objects are split apart. In this way, three-dimensional objects are formed from two-dimensional segmentations.
摘要:
Breast density measurements are used to perform Breast Imaging Reporting and Data System (BI-RADS) classification during breast cancer screenings. The accuracy of breast density measurements can be improved by quantitatively processing digital mammographic images. For example, breast segmentation may be performed on a mammographic image to isolate the breast tissue from the background and pectoralis tissue, while a breast thickness adjustment may be performed to compensate for decreased tissue thickness near the skin line of the breast. In some instances, BI-RADS density categorization may consider the degree to which dense tissue is dispersed throughout the breast. A breast density dispersion parameter can also be obtained using quantitative techniques, thereby providing objective BI-RADS classifications that are less susceptible to human error.
摘要:
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.