Abstract: A medical imaging system (10) comprises one or more displays (66). A viewer device (86) generates an interactive user interface screen (80) on the display (66), which viewer device (86) enables a user to simultaneously inspect selected image data of multiple patients or multiple images.

Abstract: A method and system for removing an object support from imaging data such as CT imaging data are provided. The automatic or semi-automatic removal process comprises identifying and locating the top edge of the object support in sagittal imaging plane data, and then removing the object support from transverse or volumetric imaging data.

Abstract: A medical imaging system (10) comprises one or more displays (66). A viewer device (86) generates an interactive user interface screen (80) on the display (66), which viewer device (86) enables a user to simultaneously inspect selected image data of multiple patients or multiple images.

Abstract: In image registration, a similarity measure is computed of first and second images (4, 6) offset at a plurality of relative axial offsets (30). A starting relative axial offset (40) between the first and second images is identified based on the computed similarity measures. An iterative image registration process is performed to relatively register the first and second images (4, 6) using the identified starting relative axial offset between the first and second images as an initial condition for the iterative image registration process. A starting relative in-slice offset (42) may also be identified as an in-slice offset effective to align corresponding slices of the first and second images (4, 6) offset at the starting relative axial offset (40), the identified starting relative in-slice offset also being used as an initial condition for the iterative image registration process.

Abstract: A method and system for removing an object support from imaging data such as CT imaging data are provided. The automatic or semi-automatic removal process comprises identifying and locating the top edge of the object support in sagittal imaging plane data, and then removing the object support from transverse or volumetric imaging data.

Abstract: A medical imaging system (10) comprises one or more displays (66). A viewer device (86) generates an interactive user interface screen (80) on the display (66), which viewer device (86) enables a user to simultaneously inspect selected image data of multiple patients or multiple images.

Abstract: A medical imaging system (10) comprises one or more displays (66). A viewer device (86) generates an interactive user interface screen (80) on the display (66), which viewer device (86) enables a user to simultaneously inspect selected image data of multiple patients or multiple images.

Abstract: A medical imaging system (10) comprises one or more displays (66). A viewer device (86) generates an interactive user interface screen (80) on the display (66), which viewer device (86) enables a user to simultaneously inspect selected image data of multiple patients or multiple images.

Abstract: In image registration, a similarity measure is computed of first and second images (4, 6) offset at a plurality of relative axial offsets (30). A starting relative axial offset (40) between the first and second images is identified based on the computed similarity measures. An iterative image registration process is performed to relatively register the first and second images (4, 6) using the identified starting relative axial offset between the first and second images as an initial condition for the iterative image registration process. A starting relative in-slice offset (42) may also be identified as an in-slice offset effective to align corresponding slices of the first and second images (4, 6) offset at the starting relative axial offset (40), the identified starting relative in-slice offset also being used as an initial condition for the iterative image registration process.

Abstract: A medical imaging system (10) comprises one or more displays (66). A viewer device (86) generates an interactive user interface screen (80) on the display (66), which viewer device (86) enables a user to simultaneously inspect selected image data of multiple patients or multiple images.

Abstract: An image processing system and method employs a registration processor (130) to calculate a statistical measure of likelihood for two volumetric images (110, 112). The likelihood is calculated based on an assumption that the voxel values in two images in registration are probabilitically related. The likelihood is calculated for a plurality of relative transformations in iterative fashion until a transformation that maximizes the likelihood is found. The transformation that maximizes the likelihood provides an optimal registration and the parameters for the optimized transform are output to memory (150) for use by a display system (160) in aligning the images for display as a fused or composite image. If statistics about the relationship between the involved images are known, a mutation probability can be derived and used in the likelihood calculation. If there is no such prior knowledge, the mutation probability can be estimated purely from the image data.