DocumentCode
3603798
Title
3D X-Ray Source Deblurring in High Cone-Angle Micro-CT
Author
Heyang Li ; Kingston, Andrew ; Myers, Glenn ; Recur, Benoit ; Sheppard, Adrian
Author_Institution
Dept. of Appl. Math., Australian Nat. Univ., Canberra, ACT, Australia
Volume
62
Issue
5
fYear
2015
Firstpage
2075
Lastpage
2084
Abstract
High geometric magnification X-ray micro-computed tomography (μCT) is used to study many high-resolution features in insects, cellular, bones, composite and mineral materials. The resolution of lab-based μCT in a fine-focus geometry is limited by blurring that occurs below the spatial coherence length of the illuminating radiation: resolution can be no smaller than the size of the X-ray source spot. In cases where the source spot size cannot be reduced (e.g. due to signal-to-noise, time or cost considerations) there is a need to model and correct for this blurring. In ANU CT-lab, we use a high cone angle and high geometric magnification with transmission x-ray source spot size up to three voxels, this creates blurring in the projection. This work takes a simulation approach mimicking such source spot size, and compares systems with horizontal cone-angles (often referred to as the fan angle) of 0.06, 14.36 and 60 degrees. We aim to eliminate this blurring in the reconstruction process. Furthermore, in a high cone-angle geometry, using a reconstruction method that only deconvolves each projection image leads to non-uniform resolution in the reconstruction volume. Alternatively, iterative methods that fully model the non-point source and avoid such artefacts are computationally expensive. We propose a hybrid method that corrects the effect of the non-point source by better modelling the physics rather than just deconvolving each projection image, therefore obtains results closer to the iterative full modelling method, and while being computationally much cheaper.
Keywords
computerised tomography; diagnostic radiography; image denoising; image reconstruction; image resolution; iterative methods; medical image processing; 3D X-ray source deblurring; ANU CT-lab; bone; composite materials; fine-focus geometry; high cone-angle microCT; high geometric magnification; high geometric magnification X-ray microcomputed tomography; horizontal cone-angles; image projection; image reconstruction; insects; iterative full modelling method; lab-based μCT resolution; mineral materials; nonpoint source; nonuniform resolution; signal-noise; spatial coherence length; transmission X-ray source spot size; Attenuation; Convolution; Detectors; Image reconstruction; Phantoms; Reconstruction algorithms; X-ray imaging; Deconvolution; X-ray imaging; image enhancement; image reconstruction techniques; tomographic image processing;
fLanguage
English
Journal_Title
Nuclear Science, IEEE Transactions on
Publisher
ieee
ISSN
0018-9499
Type
jour
DOI
10.1109/TNS.2015.2435782
Filename
7160787
Link To Document