480 results about "Tomosynthesis" patented technology

An X-ray tomosynthesis system as an X-ray diagnostic system is provided. The system comprises an X-ray generator irradiating an X-ray toward a subject, and a planar-type X-ray detector detecting the X-ray passing through the subject and outputting two dimensional imaging signals based on the detected X-ray. The system comprises a supporting/moving mechanism supporting at least one of the X-ray generator and the X-ray detector so that the at least one is moved relatively to the subject. The system also comprises an element setting a ROI position of the subject, an element for obtaining a plurality of three dimensional coordinates of pixels included in the ROI, a calculating element obtaining two dimensional coordinates of data in the two dimensional imaging signals for each of the two dimensional imaging signals detected by the X-ray detector, the data being necessary for obtaining pixel values of the three dimensional coordinates; and an element for obtaining the pixel value of each of the three dimensional coordinates by extracting the corresponding data of the two dimensional coordinates from the detected two dimensional imaging signals and adding the extracting data.

Some configurations of method for reconstructing a volumetric image of an object include obtaining a tomosynthesis projection dataset of an object. The method also includes utilizing the tomosynthesis projection dataset and additional information about the object to minimize a selected energy function or functions to satisfy a selected set of constraints. Alternatively, constraints are applied to a reconstructed volumetric image in order to obtain an updated volumetric image. A 3D volume representative of the imaged object is thereby obtained in which each voxel is reconstructed and a correspondence indicated to a single one of the component material classes.

Tomography limitations in vivo due to incomplete, inconsistent and intricate measurements require solution of inverse problems. The new strategies disclosed in this application are capable of providing faster data acquisition, higher image quality, lower radiation dose, greater flexibility, and lower system cost. Such benefits can be used to advance research in cardiovascular diseases, regenerative medicine, inflammation, and nanotechnology. The present invention relates to the field of medical imaging. More particularly, embodiments of the invention relate to methods, systems, and devices for imaging, including tomography-based and MRI-based applications. For example, included in embodiments of the invention are compressive sampling based tomosynthesis methods, which have great potential to reduce the overall x-ray radiation dose for a patient. To name a few, compressive sensing based carbon nano-tube based interior tomosynthesis systems, tomography-based dynamic cardiac elastography systems, cardiac elastodynamic biomarkers from interior MR imaging, exact and stable interior ROI reconstructions for radial MRI, and interior reconstruction based ultrafast tomography systems are provided.

A method and an apparatus for estimating a geometric thickness of a breast in mammography/tomosynthesis or in other x-ray procedures, by imaging markers that are in the path of x-rays passing through the imaged object. The markings can be selected to be visible or to be invisible when the composite markings/breast image is viewed in clinical settings. If desired, the contribution of the markers to the image can be removed through further processing. The resulting information can be used determining the geometric thickness of the body being x-rayed and thus setting imaging parameters that are thickness-related, and for other purposes. The method and apparatus also have application in other types of x-ray imaging.

A method and system for acquiring, processing, storing, and displaying x-ray mammograms Mp tomosynthesis images Tr representative of breast slices, and x-ray tomosynthesis projection images Tp taken at different angles to a breast, where the Tr images are reconstructed from Tp images

An imaging system includes an X-ray source adapted to move in an arc shaped path and a stationary electronic X-ray detector. The system also includes a track and a mechanical driving mechanism which is adapted to move the X-ray source in the arc shaped path. A tomosynthesis X-ray imaging method includes mechanically moving an X-ray source in a stepped motion on an arc shaped path around an object using a track and irradiating the object with an X-ray dose from the X-ray source located at a plurality of steps along the arc shaped path. The method also includes detecting the X-rays transmitted through the object with an electronic X-ray detector, and constructing a three dimensional image of the object from a signal output by the electronic X-ray detector.

A tomosynthesis system for forming a three dimensional image of an object is provided. The system includes an X-ray source adapted to irradiate the object with a beam of X-rays from a plurality of positions in a sector, an X-ray detector positioned relative to the X-ray source to detect X-rays transmitted through the object and a processor which is adapted to generate a three dimensional image of the object based on X-rays detected by the detector. The detector is adapted to move relative to the object and/or the X-ray source is adapted to irradiate the object with the beam of X-rays such that the beam of X-rays follows in a non arc shaped path and/or a center of the beam of X-rays impinges substantially on the same location on the detector from different X-ray source positions in the sector.

A method for using computer-aided diagnosis (CAD) for digital tomosynthesis mammograms (DTM) including retrieving a DTM image file having a plurality of DTM image slices; applying a three-dimensional gradient field analysis to the DTM image file to detect lesion candidates; identifying a volume of interest and locating its center at a location of high gradient convergence; segmenting the volume of interest by a three dimensional region growing method; extracting one or more three dimensional object characteristics from the object corresponding to the volume of interest, the three dimensional object characteristics being one of a morphological feature, a gray level feature, or a texture feature; and invoking a classifier to determine if the object corresponding to the volume of interest is a breast cancer lesion or normal breast tissue.

A mammography system using a tissue exposure control relying on estimates of the thickness of the compressed and immobilized breast and of breast density to automatically derive one or more technic factors. The system further uses a tomosynthesis arrangement that maintains the focus of an anti-scatter grid on the x-ray source and also maintains the field of view of the x-ray receptor. Finally, the system finds an outline that forms a reduced field of view that still encompasses the breast in the image, and uses for further processing, transmission or archival storage the data within said reduced field of view.

A method and system for converting low-dose tomosynthesis projection images or reconstructed slices images with noise into higher quality, less noise, higher-dose-like tomosynthesis reconstructed slices, using of a trainable nonlinear regression (TNR) model with a patch-input-pixel-output scheme called a pixel-based TNR (PTNR). An image patch is extracted from an input raw projection views (images) of a breast 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 raw projection views (images together with corresponding desired x-ray radiation dose raw projection views (images) (higher-dose). Through the training, the PTNR learns to convert low-dose raw projection images to high-dose-like raw projection images. Once trained, the trained PTNR does not require the higher-dose raw projection images anymore. When a new reduced x-ray radiation dose (low dose) raw projection images is entered, the trained PTNR outputs a pixel value similar to its desired pixel value, in other words, it outputs high-dose-like raw projection images where noise and artifacts due to low radiation dose are substantially reduced, i.e., a higher image quality. Then, from the “high-dose-like” projection views (images), “high-dose-like” 3D tomosynthesis slices are reconstructed by using a tomosynthesis reconstruction algorithm. With the “virtual high-dose” tomosynthesis reconstruction slices, the detectability of lesions and clinically important findings such as masses and microcalcifications can be improved.

An ultrasound scan probe and support mechanism are provided for use in a multi-modality mammography imaging system, such as a combined tomosynthesis and ultrasound imaging system. In one embodiment, the ultrasound components may be positioned and configured so as not to interfere with the tomosynthesis imaging operation, such as to remain out of the X-ray beam path. Further, the ultrasound probe and associated components may be configured to as to move and scan the breast tissue under compression, such as under the compression provided by one or more paddles used in the tomosynthesis imaging operation.

Methods, systems, and related computer program products for processing and displaying computer-aided detection (CAD) results in conjunction with breast x-ray tomosynthesis data are described. For one preferred embodiment, as a user pages through a notional stack of tomosynthesis reconstructed slice images (Tr images), including a detection-containing Tr image on which a CAD marker is to be displayed at an identified coordinate location, one or more CAD proximity markers is displayed at that coordinate location on one or more neighboring Tr images. While not themselves indicative of CAD findings on their respective Tr images, the CAD proximity markers encourage user attention toward the coordinate location of the CAD detection marker of the detection-containing Tr image. Preferably, the CAD proximity markers are of noticeably different size from each other and from the CAD detection marker to promote their perception in the peripheral vision of the user during the paging process.