Abstract:
An integrated circuit can include a processor system configured to execute program code. The processor system can be hard-wired and include a processor hardware resource. The IC also can include a programmable circuitry configurable to implement different physical circuits. The programmable circuitry can be coupled to the processor system. The programmable circuitry can be configurable to share usage of the processor hardware resource of the processor system. The processor system further can control aspects of the programmable circuitry such as power on and/or off and also configuration of the programmable circuitry to implement one or more different physical circuits therein.
Abstract:
A phantom includes a housing enclosing an interior volume and having a plurality of passages formed therein, wherein each passage is fluidly isolated from the interior volume. First and second inserts are included and configured to be positioned in a first passage of the plurality of passages and include materials having a known material density. The material is selected from iodine, hydroxyapatite (HAP), tricalcium phosphate (TCP), body fat, fatty plaque, sodium chloride (NaCl), gold (Au), and iron (Fe). The material of the inserts can be different materials or the same material at different densities.
Abstract:
A method for processing computed tomography (CT) datasets comprises identifying regions of interest (ROIs) within a CT dataset is provided. The ROIs are ranked based on a comparison to at least one predetermined parameter. The ranking determines a level of importance for the ROIs with respect to each other. A list of the ROIs is provided on a display, the list indicating the ROIs based on an associated level of importance. The ROIs are selectable with a user interface.
Abstract:
The present invention relates to compositions for oral administration. The invention preferably comprises at least one abuse-resistant drug delivery composition for delivering a drug having potential for dose dumping in alcohol, related methods of preparing these dosage forms, and methods of treating a patient in need thereof comprising administering the inventive compositions to the patient. Most preferably, the dosage form includes verapamil. These formulations have reduced potential for abuse. In another formulation, preferably the abuse relevant drug is an opioid and the non-abuse relevant drug is acetaminophen or ibuprofen. More preferably, the opioid is hydrocodone, and the non-abuse relevant analgesic is acetaminophen. In certain preferred embodiments, the dosage forms are characterized by resistance to solvent extraction; tampering, crushing or grinding. Certain embodiments of the inventions provide dosage forms that provide an initial burst of release of drug followed by a prolonged period of controllable drug release.
Abstract:
A method for producing an image of an object includes scanning an object with an imaging apparatus to collect projection data of the object utilizing cone sampling. The projection data is rebinned in a row-wise, fan-to-parallel fashion to produce rebinned data and the rebinned data is view-weighted to produce view-weighted data. The method further includes filtering the view-weighted data utilizing a row-wise ramp filter to produce filtered data and generating an image of the object utilizing the filtered data and a three-dimensional (3D) backprojection.
Abstract:
A method for automatic detection of obstructions in vasculature in an anatomical region is presented. The method includes partitioning the anatomical region into a plurality of sub-regions based at least in part on anatomical knowledge. Further, the method includes adaptively computing a threshold intensity value corresponding to each of the plurality of sub-regions. Additionally, the method includes extracting the vasculature in each of the plurality of sub-regions based on the corresponding computed threshold intensity value, where the extracted vasculature comprises a plurality of vessel segments. The method also includes detecting an obstruction in the extracted vasculature. Systems and computer-readable medium that afford functionality of the type defined by this method is also contemplated in conjunction with the present technique.
Abstract:
A method for processing computed tomography (CT) datasets comprises identifying regions of interest (ROIs) within a CT dataset is provided. The ROIs are ranked based on a comparison to at least one predetermined parameter. The ranking determines a level of importance for the ROIs with respect to each other. A list of the ROIs is provided on a display, the list indicating the ROIs based on an associated level of importance. The ROIs are selectable with a user interface.
Abstract:
Methods and apparatus for reconstructing a multiple resolution images of an object are provided. The method includes reconstructing a first three-dimensional image at a first resolution, determining at least one volume of interest in the generated image, and reconstructing a second three-dimensional image of the determined at least one volume of interest at a second resolution, the second resolution being higher than the first resolution such that a quantification of image structures is facilitated.
Abstract:
Methods and systems for generating computed tomographic (CT) images from image data acquired during different biological cycles are provided. A computer is programmed to receive a plurality of scan data acquired during a gated acquisition window of each of a plurality of biological cycles, blend the scan data acquired during a first of the plurality of biological cycles with the scan data acquired during a second of the plurality of biological cycles, and construct a final image from the blended data.
Abstract:
A method for reconstructing an image of an object includes generating a plurality of projection data, helically interpolating the projection data, rebinning the helically interpolated projection data from a fan-beam format to a parallel-beam format, and reconstructing an image of the object using the parallel-beam format projection data.