Abstract:
Embodiments of methods and apparatus are disclosed for obtaining differential phase contrast imaging system and methods for same. Method and apparatus embodiments can provide regularized phase contrast retrieval that can address noise reduction and/or edge enhancement. Certain exemplary embodiments can suppress stripe artifacts occurring in the process of integration of noisy differential phase data. Further, certain exemplary embodiments can use transmission images and/or dark-field images to improve or restore phase contrast images affected by noise edges.
Abstract:
A method of generating a synthesized digital projection image, executed at least in part by a computer, acquires x-ray projection images at corresponding acquisition angles, and reconstructs a first volume image. Forward projection generates a preceding forward projection image at a first acquisition angle; a following forward projection image at an adjacent second acquisition angle; and an intermediate forward projection image for an intermediate angle. A synthesized projection image is formed by identifying a candidate patch of pixels from the intermediate forward projection image, matching a first patch of pixels from the preceding forward projection image and identifying a corresponding first acquired patch of pixels from the first acquired x-ray projection image, matching a second patch of pixels from the following forward projection image and matching a second acquired patch of pixels from the forward projection image. The first and second acquired patches are combined.
Abstract:
A method for rib suppression in a volume chest x-ray image, executed at least in part by a computer captures a first set of unsegmented projection images, each at a corresponding angle, and forms a second set of segmented projection images by detecting rib features in a first projection image to form a first segmented projection image and generating a base model according to the detected rib features for the first projection image. Each of one or more additional projection images from the first set is processed to add members to the second set by a repeated sequence of generating a predictive model; detecting rib features using the predictive model; adjusting the base model according to detected rib features; and correcting rib detection in one or more members of the second set. The volume chest x-ray image is reconstructed according to the segmented projection images and is displayed.
Abstract:
A mobile radiography apparatus has a moveable (e.g., wheeled) transport frame and an adjustable column mounted at the frame. A boom apparatus supported by the adjustable column can support an x-ray source assembly. Certain exemplary methods and/or apparatus embodiments can provide mobile radiography carts a capability to direct x-ray radiation towards a subject from one or a plurality of different source positions, and reconstruct two-dimensional or three-dimensional tomosynthesis images where an imaging geometry of x-ray source positions to a radiographic detection array is not known for a plurality of x-ray tomosynthesis projection images. In one embodiment, an imaging geometry and tomosynthesis reconstruction(s) can be simultaneously determined by iteratively determining a current imaging geometry while iteratively monitoring a metric (e.g., stopping criterion) that approaches a prescribed or desired value associated with the tomosynthesis reconstruction.
Abstract:
A computer implemented method for reconstructing a 3-D volume image using a radiographic imaging system having one or more x-ray sources and a digital detector. A plurality of radiographic images of a subject at various angles are captured in the digital detector. Image data in two or more pixels of the detector that are adjacent to each other in a row direction or a column direction are combined, while pixels adjacent in the other direction are not combined.
Abstract:
A method for multi-dimensional image processing obtains a multi-dimensional image having a plurality of data elements, each data element having a corresponding data value. The method forms a reduced noise image by repeated iterations of a process that adjusts the data value for one or more data elements p of the obtained image by: for each data element k in a group of data elements in the image, calculating a weighting factor for the data element k as a function of the difference between an estimated data value for data element p and the corresponding data value of data element k, updating the estimated data value for the data element p according to the combined calculated weighting factors and the data value of the data element k; and displaying, storing, or transmitting the reduced noise image.
Abstract:
An imaging method, accesses a set of low-energy projection images and performs a low-energy reconstruction using the low-energy projection images. A synthesized intermediate low-energy projection image is generated. A high-energy reconstruction is performed using a set of high-energy projection images. A synthesized intermediate high-energy projection image is generated. A dual-energy reconstruction is performed using at least one low-energy projection image, the synthesized intermediate low-energy projection image, at least one high-energy projection image, and the synthesized intermediate high-energy projection image.
Abstract:
An iterative algorithmic method determines spatial distribution of attenuation values of an object based on measured projection data of the object. An algorithm generates estimated projection data based on an estimated spatial distribution of the attenuation values. Correction data is determined based on a difference between the measured projection data and the estimated projection data. Spatially extended correction data is back projected to update the estimated spatial distribution of the attenuation values. The algorithmic iterations continue until a stopping criterion is reached.
Abstract:
An imaging method, accesses cone beam computed tomography (CBCT) data and displays, on a display monitor, at least one view of the CBCT data. The method provides an interface for a user to indicate a tomosynthesis reconstruction plane on the displayed view of the CBCT data; and displays a tomosynthesis image on the display monitor according to the indicated tomosynthesis reconstruction plane.
Abstract:
A mobile radiography apparatus has a moveable (e.g., wheeled) transport frame and an adjustable column mounted at the frame. A boom apparatus supported by the adjustable column can support an x-ray source assembly. Certain exemplary methods and/or apparatus embodiments can provide mobile radiography carts a capability to direct x-ray radiation towards a subject from one or a plurality of different source positions, and reconstruct two-dimensional or three-dimensional tomosynthesis images where an imaging geometry of x-ray source positions to a radiographic detection array is not known for a plurality of x-ray tomosynthesis projection images. In one embodiment, an imaging geometry and tomosynthesis reconstruction(s) can be simultaneously determined by iteratively determining a current imaging geometry while iteratively monitoring a metric (e.g., stopping criterion) that approaches a prescribed or desired value associated with the tomosynthesis reconstruction.