25 research outputs found
Iterative reconstruction optimisations for high angle cone-beam micro-CT
We address several acquisition questions that have arisen for the high cone-angle helical-scanning micro-CT facility developed at the Australian National University. These challenges are generally known in medical and industrial cone-beam scanners but can be neglected in these systems. For our large datasets, with more than 2048³ voxels, minimising the number of operations (or iterations) is crucial. Large cone-angles enable high
signal-to-noise ratio imaging and a large helical pitch to be used. This introduces two challenges: (i) non-uniform
resolution throughout the reconstruction, (ii) over-scan beyond the region-of-interest significantly increases required
reconstructed volume size. Challenge (i) can be addressed by using a double-helix or lower pitch helix but
both solutions slow down iterations. Challenge (ii) can also be improved by using a lower pitch helix but results
in more projections slowing down iterations. This may be overcome using less projections per revolution but
leads to more iterations required. Here we assume a given total time for acquisition and a given reconstruction
technique (SART) and seek to identify the optimal trajectory and number of projections per revolution in order
to produce the best tomogram, minimise reconstruction time required, and minimise memory requirements
Investigation on reconstruction methods applied to 3D terahertz computed tomography
International audience3D terahertz computed tomography has been performed using a monochromatic millimeter wave imaging system coupled with an infrared temperature sensor. Three different reconstruction methods (standard back-projection algorithm and two iterative analysis) have been compared in order to reconstruct large size 3D objects. The quality (intensity, contrast and geometric preservation) of reconstructed cross-sectional images has been discussed together with the optimization of the number of projections. Final demonstration to real-life 3D objects has been processed to illustrate the potential of the reconstruction methods for applied terahertz tomography
Data processing in a tomographic imaging apparatus
A method of investigating a specimen using a tomographic imaging apparatus , by performing , in multiple iterations , the
following steps :
( i ) Using a Back Projection technique to produce an initial
tomogram from a set of initial images ;
( ii ) Subjecting said initial tomogram to a mathematical
filtering operation , thereby producing an adjusted tomogram ;
( iii ) Using a Forward Projection technique on said
adjusted tomogram to dissociate it into a set of calcu
lated images ;
( iv ) Repeating steps ( i ) - ( iii ) until said calculated images satisfy an acceptance criterion
Acquisition and processing of data in a tomographic imaging apparatus
A method of investigating a specimen using a tomographic imaging apparatus using a stage for producing relative
motion of a source with respect to a specimen , so as to allow
the source and a detector to image the specimen along a
series of different viewing axes and a processing apparatus for assembling a tomographic image of at least part of the
specimen . The investigation is carried out by considering a
virtual reference surface that surrounds the specimen and is
substantially centered thereon , considering an incoming point of intersection of each of said viewing axes with this
reference surface , thereby generating a set of such intersec
tion points corresponding to the series of viewing axes , choosing discrete viewing axes in the series so as to cause
the set to comprise a two - dimensional lattice of points located areally on the reference surface in a substantially
uniform distribution
3D millimeter waves Tomosynthesis for the control of aeronautics materials
International audienc
Towards a 3D material characterization using dual-energy THz tomography
Terahertz (THz) tomography is a recent imaging technique allowing 3D inspection of opaque objects. In this paper, we investigate a dual-energy experimental setup and a THz tomographic reconstruction algorithm based on dual-energy measurements. We discus
Liquid index matching for 2D and 3D terahertz imaging
International audienceTwo-dimensional (2D) terahertz imaging and 3D visualization suffer from severe artifacts since an important part of the terahertz beam is reflected, diffracted, and refracted at each interface. These phenomena are due to refractive index mismatch and reflection in the case of non-orthogonal incidence. This paper proposes an experimental procedure that reduces these deleterious optical refraction effects for a cylinder and a prism made with polyethyl-ene material. We inserted these samples in a low absorption liquid medium to match the sample index. We then replaced the surrounding air with a liquid with an optimized refractive index, with respect to the samples being studied. Using this approach we could more accurately recover the original sample shape by time-of-flight tomography
Investigation on reconstruction methods applied to 3D terahertz computed tomography
3D terahertz computed tomography has been performed using a monochromatic millimeter wave imaging system coupled with an infrared temperature sensor. Three different reconstruction methods (standard back-projection algorithm and two iterative analysis) have been compared in order to reconstruct large size 3D objects. The quality (intensity, contrast and geometric preservation) of reconstructed cross-sectional images has been discussed together with the optimization of the number of projections. Final demonstration to real-life 3D objects has been processed to illustrate the potential of the reconstruction methods for applied terahertz tomography