Abstract: A method for measuring an alignment of a detector is described. The method includes determining, by a processor, the alignment of the detector with respect to a collimated radiation beam. The determination of the alignment is based on a plurality of signals from a first cell of the detector and a second cell of the detector, and is independent of a shape of the collimated radiation beam.

Abstract: A method for measuring table sag of a table may include utilizing images of an unloaded table and a loaded table, plotting pixel values for a range of pixels for each image within a particular column, identifying a pixel within each plot that has a highest pixel value, calculating a difference between the identified pixel row numbers, and converting the difference into a measurement of table sag. A storage medium encoded with machine-readable computer program code for measuring table sag of a table may include instructions for causing a computer to implement the method. A computer for use in an imaging system may utilize digital images for the measurement of table sag and an imaging system may include such a computer.

Abstract: An exemplary method controls the operation of a diskless client computer using a disk based operating system. The client computer is booted by fetching operating system modules through a network connection from a remote host computer. A ramdisk stores key operating system modules. The key operating system modules are locked in ramdisk to prevent swapping of the modules by the operating system. The loading of programs requiring real-time operation stored at the host computer are managed so that the programs are loaded as separate modules spaced-apart in time where the client computer is released between the loading of the separate modules to process other tasks.

Abstract: A method for performing reference normalization for an image created by an imaging system. The imaging system includes a radiation detector array with a right and left edge. The method includes receiving a projection dataset created by the imaging system in response to a varying x-ray tube current. The projection dataset includes a view and predicted fluxes are calculated for the set of reference channels within the view. A right set of reference channels are located proximate at the right edge of the detector array and a left set of reference channels are located proximate to the left edge of the detector array. The method also includes calculating average actual fluxes for the sets of reference channels. Based on the predicted reference fluxes and the average fluxes, a reference correction value for the view is determined. The correction value is applied for the reference correction of the view.

Abstract: A method for performing reference normalization for an image created by an imaging system. The imaging system includes a radiation detector array with a right and left edge. The method includes receiving a projection dataset created by the imaging system in response to a varying x-ray tube current. The projection dataset includes a view and predicted fluxes are calculated for the set of reference channels within the view. A right set of reference channels are located proximate at the right edge of the detector array and a left set of reference channels are located proximate to the left edge of the detector array. The method also includes calculating average actual fluxes for the sets of reference channels. Based on the predicted reference fluxes and the average fluxes, a reference correction value for the view is determined. The correction value is applied for the reference correction of the view.

Abstract: Some configurations of the present invention provide a method for reconstructing an image of an object of a computed tomographic imaging system having a detector array and a radiation source, wherein an arc of the detector array is not concentric to a focal spot of the radiation source. The method includes scanning the object with the computed tomographic imaging system to obtain a fan beam dataset, rebinning the fan beam dataset into a set of parallel datasets; and reconstructing an image utilizing the set of parallel datasets.