Abstract: A diagnostic imaging system (20) comprising a computer workstation (26) for controlling the imaging system, interfacing with an operator and generating images. A coordinate system (100) is in data communication with the computer workstation. The coordinate system (100) is adapted to describe relative position of components in the diagnostic imaging system (20). A subject support (30) is describable within the coordinate system and an X-ray sub-system (22) is positionable around the subject support (30). Position sensors (44a) are operatively connected to the x-ray sub-system (22) and they provide signals to the workstation (26) indicative of the position of components of the x-ray sub-system (22) within the space represented by the coordinate system. A nuclear camera sub-system (24) is positionable around the subject support (30).

Abstract: A diagnostic imaging system (20) comprising a computer workstation (26) for controlling the imaging system, interfacing with an operator and generating images. A coordinate system (100) is in data communication with the computer workstation. The coordinate system (100) is adapted to describe relative position of components in the diagnostic imaging system (20). A subject support (30) is describable within the coordinate system and an X-ray sub-system (22) is positionable around the subject support (30). Position sensors (44a) are operatively connected to the x-ray sub-system (22) and they provide signals to the workstation (26) indicative of the position of components of the x-ray sub-system (22) within the space represented by the coordinate system. A nuclear camera sub-system (24) is positionable around the subject support (30).

Abstract: A method of modeling 3D first-order scatter, non-uniform attenuation, and 3D system geometric point response in an ML-EM algorithm to reconstruction SPECT data is provided. It includes performing an initial slice-to-slice blurring operation (112) on a volume of estimated emission source data. The volume of estimated emission source data is represented by a 3D array of voxels. A voxel-by-voxel multiplying (114) of the results from the initial slice-to-slice blurring operation (112) by a volume of attenuation coefficients yields a volume of effective scatter source data (116). The volume of effective scatter source data (116) is voxel-by-voxel added (118) to the volume of estimated emission source data to produce a volume of combined estimated emission and scatter source data. Finally, a secondary slice-to-slice blurring operation (120) is performed on the volume of combined estimated emission and scatter source data.