Abstract:
A method for forming an image reconstructs a volume image according to X-ray projection images acquired at acquisition angles. The full volume image is partitioned to form at least a first and a second non-overlapping sub-volume. Within each sub-volume, forward projection images for the sub-volume are calculated, with the corresponding forward projection images computed at the acquisition angles, and with intermediate forward projection images at angles between the acquisition angles. A weight factor relates the contribution of each pixel in the X-ray projection images to each sub-volume at each acquisition angle. Synthesized sub-volume projection images are formed according to the calculated weight factors and acquired projection images in each sub-volume. Synthesized sub-volume projection images form synthesized projection images for the full volume image. A second volume image is reconstructed according to the acquired X-ray projection images and the synthesized projection images. The reconstructed second volume image is displayed, stored, or transmitted.
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 generating a 3-dimensional reconstruction model of an object of interest that lies within a volume, the method executed at least in part by a computer, acquires a first set of projection images of the volume at a first exposure and a first field of view and a second set of projection images of the object of interest within the volume at a second exposure that is higher than the first exposure and a second field of view that is narrower than the first field of view. An object of interest is reconstructed from the second set of projection images according to information related to portions of the volume that lie outside the object of interest. The reconstructed object of interest is displayed.
Abstract:
A method of automatic tooth segmentation, the method executed at least in part on a computer system acquires volume image data for either or both upper and lower jaw regions of a patient and identifies image content for a specified jaw from the acquired volume image data. For the specified jaw, the method estimates average tooth height for teeth within the specified jaw, finds a jaw arch region, detects one or more separation curves between teeth in the jaw arch region, defines an individual tooth sub volume according to the estimated average tooth height and the detected separation curves, segments at least one tooth from within the defined sub-volume, and displays the at least one segmented tooth.
Abstract:
A method for reducing metal artifacts in a volume radiographic image reconstructs a first 3-D-image using measured projection images and forms a 3-D image metal mask that contains metal voxels. For each measured projection image, a projection metal mask is a projection of the 3-D image metal mask. A 3-D prior image contains voxels within the 3-D image metal mask. Voxel values of the first 3-D image outside the 3-D image metal mask are replaced with a value representative of air or soft tissue. Non-metal voxels of the 3-D prior image are modified according to a difference between a pixel value related to the nonmetal voxel and the corresponding pixel value in a calculated projection image. Composite projection images are formed by replacing measured projection image data for pixels within the projection metal mask with calculated projection image data. A metal artifact reduced 3-D image is reconstructed from composite projections.
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 3-D cephalometric analysis of a patient, executed at least in part on a computer processor, displays reconstructed volume image data from a computed tomographic scan of a patient's head from at least a first 2-D view and accepts an operator instruction that positions and displays at least one reference mark on the at least the first displayed 2-D view. One or more dentition elements within the mouth of the patient are segmented and one or more cephalometric parameters computed for the patient according to the at least one reference mark and the one or more segmented dentition elements. One or more results generated from analysis of the one or more computed cephalometric parameters are displayed.
Abstract:
A method for analyzing a subject tooth. The method includes obtaining volume image data including at least the subject tooth and segments the subject tooth from within the volume data according to one or more operator instructions. An index is generated that is indicative of a suspected fracture or lesion identified for the segmented subject tooth. The subject tooth is displayed with the suspected fracture or lesion highlighted. The generated index also displays.
Abstract:
A method of automatic tooth segmentation, the method executed at least in part on a computer system acquires volume image data for either or both upper and lower jaw regions of a patient and identifies image content for a specified jaw from the acquired volume image data. For the specified jaw, the method estimates average tooth height for teeth within the specified jaw, finds a jaw arch region, detects one or more separation curves between teeth in the jaw arch region, defines an individual tooth sub volume according to the estimated average tooth height and the detected separation curves, segments at least one tooth from within the defined sub-volume, and displays the at least one segmented tooth.
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.