Abstract: An apparatus for use in performing imaging a region of a patient's body including a first imaging system for acquiring first imaging information including a first region of interest using a first imaging modality, a second imaging system for acquiring second imaging information including a second region of interest using a second imaging modality, a first drive system for selectively moving at least a portion of one of the first and second imaging systems relative to an imaging reference frame, wherein the first drive system is operative to move one of the first and second imaging systems independent of movement of the other of the first and second imaging systems.

Abstract: A method includes acquiring first imaging information of a region of interest, said first imaging information providing data correlated to three spatial dimensions of a reference frame including said region of interest; acquiring second projection imaging information of said region of interest, said second imaging information providing data correlated to said reference frame but is lacking information concerning at least one spatial dimension; and processing said first and second imaging information such that said first imaging information is registered with said second imaging information.

Abstract: An apparatus for use in performing imaging a region of a patient's body including a first imaging system for acquiring first imaging information including a first region of interest using a first imaging modality, a second imaging system for acquiring second imaging information including a second region of interest using a second imaging modality, a first drive system for selectively moving at least a portion of one of the first and second imaging systems relative to an imaging reference frame, wherein the first drive system is operative to move one of the first and second imaging systems independent of movement of the other of the first and second imaging systems.

Abstract: A method for deconvolving imaging data obtained in slices using an imaging system. The method includes steps of selecting a target slice sensitivity profile and determining a deconvolution kernel using the target slice sensitivity profile. This method allows an imaging system user to use singular value decomposition to achieve a desired slice sensitivity profile through imaging data deconvolution. Thus sub-millimeter slice thickness and improved image resolution are achieved without hardware modifications to existing imaging systems.

Abstract: A method for statistically reconstructing an X-ray computed tomography image produced by a single X-ray CT scan having a polyenergetic source spectrum and an image reconstructor which utilize a convergent statistical algorithm which explicitly accounts for the polyenergetic source spectrum are provided. First and second related statistical iterative methods for CT reconstruction based on a Poisson statistical model are described. Both methods are accelerated by the use of ordered subsets, which replace sums over the angular index of a sinogram with a series of sums over angular subsets of the sinogram. The first method is generalized to model the more realistic case of polyenergetic computed tomography (CT). The second method eliminates beam hardening artifacts seen when filtered back projection (FBP) is used without post-processing correction. The methods are superior to FBP reconstruction in terms of noise reduction.