Markham, Charles Edward (1993) Element specific imaging in computer assisted tomography using a tube source of x-rays and a low resolution detector. PhD thesis, Dublin City University.
Abstract
A new technique for element specific imaging in
computerised tomography has been developed. The technique
allows two or more elements to be imaged independently of
the matrix in which they are contained. The technique uses
a filtered tube source of x-rays and low energy resolution
detector.
Fractional transmittance measurements were recorded at
a number of tube potentials along each of the beam paths
required for standard CT reconstruction. This data was
used to obtain monochromatic information about the
absorber. K-edge differential absorptiometry was then used
to obtain the equivalent thickness of each element of
interest. Using the algebraic reconstruction technique
(ART), element specific images were generated. The
technique was successfully used to separately image iodine
and barium distributed in a water matrix.
In a refinement of the technique, a single channel
analyser was used to increase the percentage of counts in
the fractional transmittance measurement providing
information about the elements of interest. Using this
approach, cadmium and indium, elements with a K-edge
separation of 1.23keV, were separately imaged. The
technique was also tested for matrix independence and
linearity using homogeneous samples.
Using computer simulations the optimum operating
conditions and characteristics of the technique were
examined.
Finally, future developments of the technique are
discussed along with a possible application.
Metadata
Item Type: | Thesis (PhD) |
---|---|
Date of Award: | 1993 |
Refereed: | No |
Supervisor(s): | Fryar, Joseph and Kennedy, Eugene T. |
Uncontrolled Keywords: | Imaging systems; Computer assisted tomography |
Subjects: | Physical Sciences > Physics Computer Science > Image processing |
DCU Faculties and Centres: | DCU Faculties and Schools > Faculty of Science and Health > School of Physical Sciences |
Use License: | This item is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 3.0 License. View License |
ID Code: | 18986 |
Deposited On: | 28 Aug 2013 10:09 by Celine Campbell . Last Modified 30 Sep 2022 09:52 |
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