Abstract: A pediatric patient support system is provided. The system includes a support extension configured to be removably coupled to a cradle of a table, wherein the support extension includes radial supports extending in a radial direction relative to a longitudinal axis of the cradle. The system includes a pair of rods, wherein each rod is coupled to a respective radial support and extends substantially parallel to the longitudinal axis. The system includes a patient support disposed between and coupled to the rods, the patient support being configured to support a pediatric patient, wherein the patient support is configured to move axially relative to the longitudinal axis along the rods to move the pediatric patient in and out of a central bore of a medical imaging system.

Abstract: A patient support system includes a support beam that may translocate along an axial axis of a medical imaging system. At least a portion of the support beam may be disposed within a central bore of the medical imaging system. The patient support system also includes a patient support removably coupled to the support beam and including a backing that may support a patient during an imaging procedure and a restraint extending a longitudinal length of the backing. The restraint includes a first end coupled to the backing and a second end that may be removably coupled to the support beam, and the restraint may secure the patient support to the support beam and to restrain the patient within the patient support.

Abstract: A pediatric patient support system is provided. The system includes a support extension configured to be removably coupled to a cradle of a table, wherein the support extension includes radial supports extending in a radial direction relative to a longitudinal axis of the cradle. The system includes a pair of rods, wherein each rod is coupled to a respective radial support and extends substantially parallel to the longitudinal axis. The system includes a patient support disposed between and coupled to the rods, the patient support being configured to support a pediatric patient, wherein the patient support is configured to move axially relative to the longitudinal axis along the rods to move the pediatric patient in and out of a central bore of a medical imaging system.

Abstract: A patient support system includes a support beam that may translocate along an axial axis of a medical imaging system. At least a portion of the support beam may be disposed within a central bore of the medical imaging system. The patient support system also includes a patient support removably coupled to the support beam and including a backing that may support a patient during an imaging procedure and a restraint extending a longitudinal length of the backing. The restraint includes a first end coupled to the backing and a second end that may be removably coupled to the support beam, and the restraint may secure the patient support to the support beam and to restrain the patient within the patient support.

Abstract: Systems and methods for iterative multi-material correction are provided. A system includes an imager that acquires projection data of an object. A reconstructor reconstructs the acquired projection data into a reconstructed image, utilizes the reconstructed image to perform a multi-material correction on the acquired projection data to generate a multi-material corrected reconstructed image, and utilizes the multi-material corrected reconstructed image to perform one or more iterations of the multi-material correction on the projection data to generate an iteratively corrected multi-material corrected image.

Abstract: A method includes acquiring projection data of an object from a plurality of detector elements, reconstructing the acquired projection data into a first reconstructed image, and performing material characterization of an image volume of the first reconstructed image to reduce a number of materials analyzed in the image volume to two basis materials. Performing material characterization includes utilizing a generalized modeling function to estimate a fraction of at least one basis material within each voxel of the image volume. The method also includes generating a re-mapped image volume for the at least one basis material of the two basis materials, performing forward projection on at least the re-mapped image volume for the at least one basis material to produce a material-based projection, and generating multi-material corrected projections based on the material-based projection and a total projection attenuated by the object, which represents both of the two basis materials.

Abstract: A method includes acquiring projection data of an object from a plurality of detector elements, reconstructing the acquired projection data into a first reconstructed image, and performing material characterization of an image volume of the first reconstructed image to reduce a number of materials analyzed in the image volume to two basis materials. Performing material characterization includes utilizing a generalized modeling function to estimate a fraction of at least one basis material within each voxel of the image volume. The method also includes generating a re-mapped image volume for the at least one basis material of the two basis materials, performing forward projection on at least the re-mapped image volume for the at least one basis material to produce a material-based projection, and generating multi-material corrected projections based on the material-based projection and a total projection attenuated by the object, which represents both of the two basis materials.

Abstract: Systems and methods for iterative multi-material correction are provided. A system includes an imager that acquires projection data of an object. A reconstructor reconstructs the acquired projection data into a reconstructed image, utilizes the reconstructed image to perform a multi-material correction on the acquired projection data to generate a multi-material corrected reconstructed image, and utilizes the multi-material corrected reconstructed image to perform one or more iterations of the multi-material correction on the projection data to generate an iteratively corrected multi-material corrected image.

Abstract: A method is provided. The method includes acquiring projection data of an object from a plurality of pixels, reconstructing the acquired projection data from the plurality of pixels into a reconstructed image, performing material characterization and decomposition of an image volume of the reconstructed image to reduce a number of materials analyzed in the image volume to two basis materials. The method also includes generating a re-mapped image volume for at least one basis material of the two basis materials, and performing forward projection on at least the re-mapped image volume for the at least one basis material to produce a material-based projection. The method further includes generating multi-material corrected projections based on the material-based projection and a total projection attenuated by the object, which represents both of the two basis materials, wherein the multi-material corrected projections include linearized projections.

Abstract: A method is provided. The method includes acquiring projection data of an object from a plurality of pixels, reconstructing the acquired projection data from the plurality of pixels into a reconstructed image, performing material characterization and decomposition of an image volume of the reconstructed image to reduce a number of materials analyzed in the image volume to two basis materials. The method also includes generating a re-mapped image volume for at least one basis material of the two basis materials, and performing forward projection on at least the re-mapped image volume for the at least one basis material to produce a material-based projection. The method further includes generating multi-material corrected projections based on the material-based projection and a total projection attenuated by the object, which represents both of the two basis materials, wherein the multi-material corrected projections include linearized projections.

Abstract: A method is provided. The method includes acquiring projection data of an object from a plurality of pixels, reconstructing the acquired projection data from the plurality of pixels into a reconstructed image, performing material characterization and decomposition of an image volume of the reconstructed image to reduce a number of materials analyzed in the image volume to two basis materials. The method also includes generating a re-mapped image volume for at least one basis material of the two basis materials, and performing forward projection on at least the re-mapped image volume for the at least one basis material to produce a material-based projection. The method further includes generating multi-material corrected projections based on the material-based projection and a total projection attenuated by the object, which represents both of the two basis materials, wherein the multi-material corrected projections include linearized projections.

Abstract: A method is provided. The method includes acquiring projection data of an object from a plurality of pixels, reconstructing the acquired projection data from the plurality of pixels into a reconstructed image, performing material characterization and decomposition of an image volume of the reconstructed image to reduce a number of materials analyzed in the image volume to two basis materials. The method also includes generating a re-mapped image volume for at least one basis material of the two basis materials, and performing forward projection on at least the re-mapped image volume for the at least one basis material to produce a material-based projection. The method further includes generating multi-material corrected projections based on the material-based projection and a total projection attenuated by the object, which represents both of the two basis materials, wherein the multi-material corrected projections include linearized projections.