Abstract: A system populates a medical imaging examination report of a patient with generated text. An interface receives a patient identifier and data identifying characteristics of a medical imaging examination. At least one repository stores information derived using the patient identifier and the data identifying characteristics of the medical imaging examination. The information associates patient medical history data including, a patient diagnosis and a patient prior medical condition with medical imaging examination type and image acquisition characteristics including anatomical region imaged. A report processor uses the information in automatically selecting a text phrase from multiple predetermined text phrases. The report processor automatically populates the selected text phrase into a medical imaging examination report and prompts user data entry.

Abstract: A method for efficiently rendering a chessboard artifact free Maximum intensity projection (MIP) image is disclosed is disclosed. MIP is a widely used volumetric rendering technology in medical diagnostic imaging. When a volume dataset containing wideband noise is rendered using MIP, the resultant MIP image can show chessboard or stripe like artifacts. A method is disclosed for automatically detecting stripe artifacts present in the MIP rendered images and to determine whether suitable mitigation algorithms need to be applied during rendering. This automatic detection method eliminates the need for human review of images to determine whether mitigation is required, and thus speeds the overall process.

Abstract: A system and method for rendering an MIP image that has reduced high frequency component loss and reduced chessboard artifacts. The method includes accessing volumetric data, having random noise. Rays are shot, or cast, through the volumetric data, onto a voxel grid, which has grid points. Sampling data along each ray is performed to obtain selected sample data points on the ray and a distance from a selected point to a nearest grid point is determined. A voxel intensity value is accessed at each selected point, as a function of the position of the selected point relative to the nearest grid point. The difference between the voxel intensity at each selected point is minimized an image is rendered from the volumetric data as a function of the minimizing step. Multiple methods may be used to minimize the difference between the voxel intensity at each selected point. These include for example 1.) applying a localized low pass filter, 2.) applying a localized high order interpolation kernel, and 3.

Abstract: A method for efficiently rendering a chessboard artifact free Maximum intensity projection (MIP) image is disclosed is disclosed. MIP is a widely used volumetric rendering technology in medical diagnostic imaging. When a volume dataset containing wideband noise is rendered using MIP, the resultant MIP image can show chessboard or stripe like artifacts. A method is disclosed for automatically detecting stripe artifacts present in the MIP rendered images and to determine whether suitable mitigation algorithms need to be applied during rendering. This automatic detection method eliminates the need for human review of images to determine whether mitigation is required, and thus speeds the overall process.

Abstract: A system and method provide image data compression and reconstruction technique optimizations that may enhance (1) local gradient quantization, (2) quantized gradient merging, and/or (3) prediction and/or prediction error computations. A data structure may be created before image data compression that provides access to pre-computed quantization values during image data compression. Quantization merging may be performed by a one-to-one mapping of quantization vectors into corresponding quantization values. Subsequently, the sign of the quantization values may be checked to further reduce the number of logical steps required. A prediction technique may alleviate the effect that noise of neighboring pixels has on the current pixel. The optimizations may be applied to a JPEG-LS based algorithm to speed up processing by approximately 50%, while maintaining error controllability and compression ratio. The optimizations may enhance remote rendering and viewing of medical images in a client server environment.

Abstract: A system and method for rendering an MIP image that has reduced high frequency component loss and reduced chessboard artifacts. The method includes accessing volumetric data, having random noise. Rays are shot, or cast, through the volumetric data, onto a voxel grid, which has grid points. Sampling data along each ray is performed to obtain selected sample data points on the ray and a distance from a selected point to a nearest grid point is determined. A voxel intensity value is accessed at each selected point, as a function of the position of the selected point relative to the nearest grid point. The difference between the voxel intensity at each selected point is minimized an image is rendered from the volumetric data as a function of the minimizing step. Multiple methods may be used to minimize the difference between the voxel intensity at each selected point. These include for example 1.) applying a localized low pass filter, 2.) applying a localized high order interpolation kernel, and 3.