• 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