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: 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: Embodiments of methods and/or apparatus for 3-D volume image reconstruction of a subject, executed at least in part on a computer for use with a digital radiographic apparatus, can obtain image data for 2-D projection images over a range of scan angles. For each of the plurality of projection images, an enhanced projection image can be generated. In one embodiment, a first scatter intensity distribution through the plurality of projection images can be modulated based on a first scaling function and a SPR to generate a second scatter intensity distribution through the plurality of projection images, which can be combined with the original plurality of projection images.

Abstract: A method for suppressing metal artifacts in a radiographic image, the method executed at least in part on a computer, obtains at least one two-dimensional radiographic image of a subject, wherein the subject has one or more metal objects and identifies a material that forms the one or more metal objects and a radiation energy level used to generate the obtained image. The obtained radiographic image is segmented to identify boundaries of the metal object. A conditioned radiographic image is formed by replacing pixel values in the radiographic image that correspond to the one or more metal objects with compensating pixel values according to the identified material and the identified radiation energy level. The conditioned radiographic image is then displayed.

Abstract: Embodiments of methods and/or apparatus for 3-D volume image reconstruction of a subject, executed at least in part on a computer for use with a digital radiographic apparatus, can obtain image data for 2-D projection images over a range of scan angles. For each of the plurality of projection images, an enhanced projection image can be generated. In one embodiment, a first scatter intensity distribution through the plurality of projection images can be modulated based on a first scaling function and a SPR to generate a second scatter intensity distribution through the plurality of projection images, which can be combined with the original plurality of projection images.

Abstract: Embodiments of methods and/or apparatus for 3-D volume image reconstruction of a subject, executed at least in part on a computer for use with a digital radiographic apparatus can obtain a 3D volume reconstruction or projection image by generating a first-filtered set of projection images from a plurality of 2-D projection images taken over a range of scan angles and a different second-filtered set of projection images from the plurality of 2-D projection images. Then, for example, a first 3-D volume image of the subject from the first-filtered set of projection images and a second 3-D volume image of the subject from the second-filtered set of projection images can be combined using different weighting combinations in at least two corresponding portions to generate the 3-D volume image of the subject.

Abstract: Embodiments of methods and/or apparatus for 3-D volume image reconstruction of a subject, executed at least in part on a computer for use with a digital radiographic apparatus, can obtain image data for 2-D projection images over a range of scan angles. For each of the plurality of projection images, an enhanced projection image can be generated. In one embodiment, a first scatter intensity distribution through the plurality of projection images can be modulated based on a first scaling function and a SPR to generate a second scatter intensity distribution through the plurality of projection images, which can be combined with the original plurality of projection images.

Abstract: A method for 3-D volume image reconstruction of a subject. 2-D projection images are obtained over a range of scan angles, and one or more truncated images are identified from the obtained images. From each of the one or more truncated images, a corrected truncated image is formed by a repeated process of identifying a row of image data values in the one or more truncated images, assigning an extension length to one or both ends of the row according to the row location in the truncated image, and extending the truncated image data for the row of image data values by applying a row-dependent cosine function to each value in the extension length. A 3-D volume image is reconstructed using one or more of the corrected truncated images.

Abstract: A method for suppressing metal artifacts in a radiographic image, the method executed at least in part on a computer, obtains at least one two-dimensional radiographic image of a subject, wherein the subject has one or more metal objects and identifies a material that forms the one or more metal objects and a radiation energy level used to generate the obtained image. The obtained radiographic image is segmented to identify boundaries of the metal object. A conditioned radiographic image is formed by replacing pixel values in the radiographic image that correspond to the one or more metal objects with compensating pixel values according to the identified material and the identified radiation energy level. The conditioned radiographic image is then displayed.

Abstract: Embodiments of methods and/or apparatus for 3-D volume image reconstruction of a subject, executed at least in part on a computer for use with a digital radiographic apparatus can obtain a 3D volume reconstruction or projection image by generating a first-filtered set of projection images from a plurality of 2-D projection images taken over a range of scan angles and a different second-filtered set of projection images from the plurality of 2-D projection images. Then, for example, a first 3-D volume image of the subject from the first-filtered set of projection images and a second 3-D volume image of the subject from the second-filtered set of projection images can be combined using different weighting combinations in at least two corresponding portions to generate the 3-D volume image of the subject.

Abstract: Embodiments of methods and/or apparatus for 3-D volume image reconstruction of a subject, executed at least in part on a computer for use with a digital radiographic apparatus, can obtain image data for 2-D projection images over a range of scan angles. For each of the plurality of projection images, an enhanced projection image can be generated. In one embodiment, a first scatter intensity distribution through the plurality of projection images can be modulated based on a first scaling function and a SPR to generate a second scatter intensity distribution through the plurality of projection images, which can be combined with the original plurality of projection images.

Abstract: A method for 3-D volume image reconstruction of a subject, executed at least in part on a computer, obtains image data for 2-D projection images over a range of scan angles. For each of the plurality of projection images, a noise-corrected projection image is generated by steps of transforming the image data according to a variance-stabilizing transform to provide transformed image data, applying Gaussian based noise suppression to the transformed image data, and inverting the transformation of the noise-suppressed transformed image data to generate the noise-corrected projection image. The noise-corrected projection image is stored in a computer-accessible memory.

Abstract: A method for 3-D volume image reconstruction of a subject. 2-D projection images are obtained over a range of scan angles, and one or more truncated images are identified from the obtained images. From each of the one or more truncated images, a corrected truncated image is formed by a repeated process of identifying a row of image data values in the one or more truncated images, assigning an extension length to one or both ends of the row according to the row location in the truncated image, and extending the truncated image data for the row of image data values by applying a row-dependent cosine function to each value in the extension length. A 3-D volume image is reconstructed using one or more of the corrected truncated images.

Abstract: A system for enhancing a digital image.

Abstract: A method of generating a pulmonary nodule image from a chest radiograph. The method includes the steps of: producing a map of a clear lung field; removing low frequency variation from the clear lung field to generate a level image; and performing at least one grayscale morphological operation on the level image to generate a nodule-bone image. Pulmonary nodules can be detected using the nodule-bone image by the further steps of: pulmonary nodules from a chest radiograph. The method includes the steps of: identifying candidate nodule locations in the nodule-bone image; segmenting a region around each candidate nodule location in the nodule-bone image; and using the features of the segmented region to determine if a candidate is a nodule.

Abstract: A method of enhancing a digital image comprising: providing a digital image; decomposing the provided digital image into a multi-frequency band representation including a low frequency band image and multiple different high frequency band images; multiplying each of the high-frequency band images with a gain factor; summing together the unmodified low frequency band image and the modified high-frequency band images to produce a reconstructed digital image; and mapping the reconstructed digital image through a tone-scale look-up-table to map the reconstructed digital image to optical densities.

Abstract: A method of enhancing a digital image comprising: providing a digital image; decomposing the provided digital image into a multi-frequency band representation including a low frequency band image and multiple different high frequency band images; multiplying each of the high-frequency band images with a gain factor; summing together the unmodified low frequency band image and the modified high-frequency band images to produce a reconstructed digital image; and mapping the reconstructed digital image through a tone-scale look-up-table to map the reconstructed digital image to optical densities.

Abstract: A system for enhancing a digital image.

Abstract: A method for transforming visual preference terminology into a set of fundamental image-quality attributes, and using these attributes to produce a display ready radiographic image that meets the desired appearance. The visual preference terminology can be specified in a hierarchical structure providing a flexible and configurable interface to a radiographic system.

Abstract: A method of enhancing a digital image comprising: providing a digital image; decomposing the provided digital image into a multi-frequency band representation including a low frequency band image and multiple different high frequency band images; multiplying each of the high-frequency band images with a gain factor; summing together the unmodified low frequency band image and the modified high-frequency band images to produce a reconstructed digital image; and mapping the reconstructed digital image through a tone-scale look-up-table to map the reconstructed digital image to optical densities