Abstract: A method for creating an energy series of images acquired using a multi-energy computed tomography (CT) imaging system having a plurality of energy bins includes acquiring, with the multi-energy CT imaging system, a series of energy data sets, where each energy data set is associated with at least one of the energy bins. The method includes producing a conglomerate image using at least a plurality of the energy data sets and, using the conglomerate image, reconstructing an energy series of images, each image in the energy series of images corresponding to at least one of the energy data sets.

Abstract: A method for creating an energy series of images acquired using a multi-energy computed tomography (CT) imaging system having a plurality of energy bins includes acquiring, with the multi-energy CT imaging system, a series of energy data sets, where each energy data set is associated with at least one of the energy bins. The method includes producing a conglomerate image using at least a plurality of the energy data sets and, using the conglomerate image, reconstructing an energy series of images, each image in the energy series of images corresponding to at least one of the energy data sets.

Abstract: Contrast from dual energy CT images is removed without affecting other aspects of the image, including objects surrounded by contrast. Dual energy images are acquired during a study of a subject. First, a binary mask image (“Contrast localizer”) is produced to localize the contrast-enhanced areas and build sets of images with contrast-enhanced areas only (“Contrast images”) and complement images with contrast-enhanced areas removed (“Contrast complement images”) for both low and high x-ray beam energy image sets. Only the contrast images are used for dual energy contrast subtraction. Second binary mask image (“Subject localizer”) is produced to localize the objects under study. This mask image is used to reconstruct both low and high energy image sets with contrast selectively removed and subject present.

Abstract: A method for creating an energy series of images acquired using a multi-energy computed tomography (CT) imaging system having a plurality of energy bins includes acquiring, with the multi-energy CT imaging system, a series of energy data sets, where each energy data set is associated with at least one of the energy bins. The method includes producing a conglomerate image using at least a plurality of the energy data sets and, using the conglomerate image, reconstructing an energy series of images, each image in the energy series of images corresponding to at least one of the energy data sets.

Abstract: A system and method is provided for reducing partial scan reconstruction artifacts in sinogram data acquired as a series of sets of partial-scan projection views, each set of projection views extending over an angular range of less than 360 degrees. A full-scan sinogram matrix for each of the sets of projection views in the series is created and each set of partial-scan projection views is stored in a respective full-scan sinogram matrix to create an array of full-scan matrices having respective empty spaces not filled by partial-scan projection view data stored therein. The empty spaces are filled in each of the full-scan sinogram matrices using the partial-scan projection view data stored therein and an image of the subject is reconstructed from the full-scan sinogram matrices having the empty spaces filled using the partial-scan projection view data stored therein.

Abstract: A method for creating an energy series of images acquired using a multi-energy computed tomography (CT) imaging system having a plurality of energy bins includes acquiring, with the multi-energy CT imaging system, a series of energy data sets, where each energy data set is associated with at least one of the energy bins. The method includes producing a conglomerate image using at least a plurality of the energy data sets and, using the conglomerate image, reconstructing an energy series of images, each image in the energy series of images corresponding to at least one of the energy data sets.

Abstract: A system and method for acquiring an image of a region of interest (ROI) of subject using a computed tomography (CT) system includes a) performing a scout scan of the subject using the CT system to yield scout data related to the ROI and b) determining an initial contrast volume form at least the scout data. The method also includes c) prescribing a scanning protocol to be implemented using the computed tomography system to image the ROI and d) determining a size of the subject about the ROI. The method further includes e) determining a computed tomography dose related to volume (CTDIvol) based on at least the size determined at step d) and f) adjusting the scanning protocol prescribed in step b) to match at least one of a desired radiation dose and a relative intravenous (IV) contrast dose to a reference CTDIvol. The method includes g) acquiring imaging data from the ROI using the CT system by using the adjusted scanning protocol.

Abstract: A system and method for reducing image noise and artifacts in coronary computed tomography angiography includes acquisition of CT images at multiplicity of CT slices arranged in such a fashion throughout the phases of the cardiac cycle as to utilize the majority of the X-ray radiation to which the myocardium exposed during the cycle. The acquired imaging data is processed with the use of a TAF filter to reduce the amount of noise and artifacts associated with the CT's system operating at low tube current. The TAF filter is configured to adapt the filtering strength in time domain according to temporal variations of the same anatomical location as identified in its corresponding CT slices.

Abstract: A system and method is provided for estimating the local noise of CT images and denoising the images using a modified non-local means (NLM) algorithm that is adaptive to local variations of noise levels. A strategy for efficiently estimating the local noise of CT images is also described.

Abstract: A method for CT imaging that utilizes an automatic tube potential selection for individual subjects and diagnostic tasks. The method quantifies the relative radiation dose of different tube potentials for achieving a specific image quality. This allows the selection of a tube potential that provides a reduced radiation dose while still providing CT images of a sufficient quality.

Abstract: Methods, systems, and apparatuses for non-convex prior image constrained compressed sensing are disclosed. In one embodiment, a method is provided for iterative image reconstruction for medical imaging applications which employ a prior image to constrain the reconstruction process allowing the use of fewer high SNR samples or complete but lower SNR samples. The objective function made use of non-convex compressed sensing methods during the iterative reconstruction process. Applications include, but are not limited to radiation dose reduction and fast image acquisition.

Abstract: A method for CT imaging that utilizes an automatic tube potential selection for individual subjects and diagnostic tasks. The method quantifies the relative radiation dose of different tube potentials for achieving a specific image quality. This allows the selection of a tube potential that provides a reduced radiation dose while still providing CT images of a sufficient quality.

Abstract: A system and method for the accurate quantitative evaluation of dual-energy computed tomography (CT) projection data that is acquired in a dual-source helical scan includes employing a dual-source z-axis helical interpolation method. The method includes transforming the two helical projection data sets, where corresponding projections of high- and low-energy data sets are shifted with respect to one another by 90 degrees or another angle, into corresponding non-helical projection data sets. A dual-source helical interpolation algorithm allows for projection space dual-energy processing by realigning the high- and low-energy datasets based on the z-axis interpolation. This algorithm may be implemented using a variety of interpolation schemes and can be extended from single slice to multi-slice data acquisitions.

Abstract: A system and method for reducing image noise and artifacts in coronary computed tomography angiography includes acquisition of CT images at multiplicity of CT slices arranged in such a fashion throughout the phases of the cardiac cycle as to utilize the majority of the X-ray radiation to which the myocardium exposed during the cycle. The acquired imaging data is processed with the use of a TAF filter to reduce the amount of noise and artifacts associated with the CT's system operating at low tube current. The TAF filter is configured to adapt the filtering strength in time domain according to temporal variations of the same anatomical location as identified in its corresponding CT slices.

Abstract: A method for CT imaging that utilizes an automatic tube potential selection for individual subjects and diagnostic tasks. The method quantifies the relative radiation dose of different tube potentials for achieving a specific image quality. This allows the selection of a tube potential that provides a reduced radiation dose while still providing CT images of a sufficient quality.

Abstract: A system and method is provided for reducing partial scan reconstruction artifacts in sinogram data acquired as a series of sets of partial-scan projection views, each set of projection views extending over an angular range of less than 360 degrees. A full-scan sinogram matrix for each of the sets of projection views in the series is created and each set of partial-scan projection views is stored in a respective full-scan sinogram matrix to create an array of full-scan matrices having respective empty spaces not filled by partial-scan projection view data stored therein. The empty spaces are filled in each of the full-scan sinogram matrices using the partial-scan projection view data stored therein and an image of the subject is reconstructed from the full-scan sinogram matrices having the empty spaces filled using the partial-scan projection view data stored therein.

Abstract: A system and method is provided for estimating the local noise of CT images and denoising the images using a modified non-local means (NLM) algorithm that is adaptive to local variations of noise levels. A strategy for efficiently estimating the local noise of CT images is also described.

Abstract: A system and method for reconstructing an image acquired by delivering an irradiating dose of radiation to a subject includes acquiring imaging data using a dose of irradiating radiation and selecting at least one of a plurality of mechanisms for reducing the dose that could be delivered to the subject to acquire additional imaging data. Noise is inserted into the imaging data to simulate the at least one of the plurality of mechanisms for reducing the dose that could be applied to acquire the additional imaging data to thereby generate simulated imaging data at a reduced dose of irradiating radiation. A simulated reduced dose image is reconstructed from the simulated imaging data. A method is provided for utilizing a non-local means filter adapted using a map of local noise to produce denoised medical imaging data reflecting reduced local nose levels from those in originally-acquired medical imaging data.

Abstract: A method for creating an energy series of images acquired using a multi-energy computed tomography (CT) imaging system having a plurality of energy bins includes acquiring, with the multi-energy CT imaging system, a series of energy data sets, where each energy data set is associated with at least one of the energy bins. The method includes producing a conglomerate image using at least a plurality of the energy data sets and, using the conglomerate image, reconstructing an energy series of images, each image in the energy series of images corresponding to at least one of the energy data sets.

Abstract: A system and method for acquiring an image of a region of interest (ROI) of subject using a computed tomography (CT) system includes a) performing a scout scan of the subject using the CT system to yield scout data related to the ROI and b) determining an initial contrast volume form at least the scout data. The method also includes c) prescribing a scanning protocol to be implemented using the computed tomography system to image the ROI and d) determining a size of the subject about the ROI. The method further includes e) determining a computed tomography dose related to volume (CTDIvol) based on at least the size determined at step d) and f) adjusting the scanning protocol prescribed in step b) to match at least one of a desired radiation dose and a relative intravenous (IV) contrast dose to a reference CTDIvol. The method includes g) acquiring imaging data from the ROI using the CT system by using the adjusted scanning protocol.