Using Hilbert transformations for simplifying image reconstruction in conical beam computer tomography imaging system with spiral scanning

摘要

The method involves defining a scanning path containing the region of interest or ROI, using a source fixed with respect to a detector, both movable relative to the object, detecting conical beam projection data in each source position, masking each set of data to form masked data sets, computing image data along line segments in the masked data with convolving operations to form a new image and 3D back projection of the new image in a 3D space. The method involves defining a scanning path containing the region of interest or ROI and which a conical beam source traverses, using a source fixed with respect to an area detector, both movable relative to the object and detecting a set of conical beam projection data in each source position, masking each set of projection data to form masked data sets, computing image data along line segments in the masked data with convolving operations to form a new image and 3D back projection of the new image in a 3D space, thereby reconstructing a 3D image of the ROI.