19 March 2014 Three dimensional image guided extrapolation for cone-beam CT image reconstruction
Author Affiliations +
Abstract
In cone-beam CT the range of projection views measured for each given image voxel is spatially variant. In the corners of the image volume there is less projection data available to be used by the image reconstruction algorithm, due to data truncation in the z direction (i.e. along the scanner axis). Given the desire to increase the fraction of the voxels which may be reconstructed from a given scan there is a desire to incorporate some extrapolated data into the image reconstruction procedure. In this work one approach is described which consists of a two-pass procedure where the first pass image reconstruction is performed over a larger extent in the z direction, a non-linear transform is applied to the initial reconstruction and a forward projection is applied in order to estimate the extrapolated image data. Initial results are presented which compare the method to zeroth order extrapolation and demonstrate that improvement in the reconstruction of the corner regions with a simple numerical phantom and with anatomical phantom data from a prototype wide coverage CT system.
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Brian Nett, "Three dimensional image guided extrapolation for cone-beam CT image reconstruction", Proc. SPIE 9033, Medical Imaging 2014: Physics of Medical Imaging, 90332O (19 March 2014); doi: 10.1117/12.2043609; https://doi.org/10.1117/12.2043609
PROCEEDINGS
8 PAGES


SHARE
Back to Top