Method for spectral CT local tomography

摘要

A method for performing reconstruction for a region of interest (ROI) of an object is provided. The method includes designating the ROI within the object, the ROI being located within a scan field of view (FOV) of a combined third- and fourth-generation CT scanner, the CT scanner including fixed photon-counting detectors (PCDs), and an X-ray source that rotates about the object in synchronization with a rotating detector. Further, the method includes determining, for each PCD, as a function of view angle, an on/off timing schedule, based on a size and location of the designated ROI, and performing a scan to obtain a first data set from the rotating detector and a second data set from the plurality of PCDs, while turning each PCD on and off according to the determined schedule. Finally, the method includes performing reconstruction using the first and second data sets to obtain ROI spectral images.

主权项

1. A method of performing spectral reconstruction for a region of interest (ROI) of an object, the method comprising:
designating the ROI within the object, the ROI being located within a scan field of view (FOV) of a combined third- and fourth-generation computed tomography (CT) scanner, the CT scanner including a plurality of fixed photon-counting detectors (PCDs), and an X-ray source that rotates in a trajectory about the object in synchronization with an energy-integrating detector; determining, for each PCD of the plurality of PCDs, as a function of a position of the X-ray source along the trajectory, an on/off timing schedule of the PCD, based on a size and location of the designated ROI; performing a scan of the object by rotating the X-ray source and the energy-integrating detector to obtain a first data set from the energy-integrating detector and a second data set from the plurality of PCDs, wherein the step of performing the scan includes turning each PCD on and off according to the determined on/off timing schedule of the PCD; and performing spectral reconstruction within the ROI using the first and second data sets to obtain spectral images of the ROI.