Abstract: A method and system for detecting the presence of motion in functional medical imaging data by comparison with anatomical medical imaging data derived from reconstructed anatomical images. Detected motion in the functional data is then estimated and corrected. In accordance with an example embodiment, CT object templates are produced from reconstructed CT image data and convolved with nuclear medical (SPECT or PET) projection data to detect object motion. Detected motion is estimated to obtain a displacement vector, and the nuclear medical projection data is corrected for objection motion by application of the displacement vector.

Abstract: A method of combining data from multi-modality imaging to provide simultaneous processing, visualization and navigation of both functional and anatomical image information, such as, for example, in cardiac studies. Multi-modality imaging data such as SPECT, PET, CT, MRI and ultrasound are correlated and coregistered, and assembled for visualization in a number of different view formats simultaneously and in a correlated manner whereby selection of a particular area or segment from one view causes reorientation or adjustment of other views to be consistent with the selected area or segment to facilitate analysis.

Abstract: For diagnosis and treatment of cardiac disease, images of the heart muscle and coronary vessels are captured using different medical imaging modalities; e.g., single photon emission computed tomography (SPECT), positron emission tomography (PET), electron-beam X-ray computed tomography (CT), magnetic resonance imaging (MRI), or ultrasound (US). For visualizing the multi-modal image data, the data is presented using a technique of volume rendering, which allows users to visually analyze both functional and anatomical cardiac data simultaneously. The display is also capable of showing additional information related to the heart muscle, such as coronary vessels. Users can interactively control the viewing angle based on the spatial distribution of the quantified cardiac phenomena or atherosclerotic lesions.

Abstract: A method for converting output data from a computer tomography (CT) device to linear attenuation coefficient data includes a step of receiving output pixel data from a CT device for a pixel of a CT image. The value of the pixel data is compared to a predetermined range. If the value is within the predetermined range, a linear attenuation coefficient is calculated from the pixel data using a first conversion function corresponding to said predetermined range. If the value is outside the predetermined range, the linear attenuation coefficient is calculated from the pixel data using a second conversion function corresponding to a range outside said predetermined range. The calculated coefficient is stored in a memory as part of a linear attenuation coefficient map.

Abstract: A method for converting output data from a computer tomography (CT) device to linear attenuation coefficient data includes a step of receiving output pixel data from a CT device for a pixel of a CT image. The value of the pixel data is compared to a predetermined range. If the value is within the predetermined range, a linear attenuation coefficient is calculated from the pixel data using a first conversion function corresponding to said predetermined range. If the value is outside the predetermined range, the linear attenuation coefficient is calculated from the pixel data using a second conversion function corresponding to a range outside said predetermined range. The calculated coefficient is stored in a memory as part of a linear attenuation coefficient map.