Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/22874
Title: Soft-tissue differentiation and bone densitometry via energy-discriminating X-ray microCT
Contributor(s): Yokhana, Viona S K (author); Arhatari, Benedicta D (author)orcid ; Gureyev, Timur  (author)orcid ; Abbey, Brian (author)
Publication Date: 2017
Open Access: Yes
DOI: 10.1364/OE.25.029328Open Access Link
Handle Link: https://hdl.handle.net/1959.11/22874
Abstract: X-ray computed tomography (CT) is an important diagnostic tool in medicine as well as being an essential research technique for animal imaging and bioscience. The key aim of this study is to assess the effectiveness, in both simulation and experiment, of differentiating soft tissue from bone as well as bone densitometry, using energydiscriminating X-ray detection. Polychromatic sources, such as standard X-ray tubes, can produce similar CT numbers for materials with different compositions, making differentiation and quantification of tissue and bone extremely challenging. In addition, 'beam-hardening' which occurs due to the relative increase in the attenuation of low energy photons compared to high energy photons, can create significant CT artifacts. To improve material contrast and eliminate beam hardening, a number of different approaches have been developed. These include dual-energy CT using two different X-ray tube voltages, photon beam filtration, and post-processing of the data. Here we present an alternative approach using the photon counting PiXirad detector. Simulations are used to establish optimal parameters for data acquisition. This is followed by tomographic experiments performed on a phantom and a mouse embryo. The energy discriminating properties of the detector are exploited to avoid beam-hardening artefacts, to differentiate soft-tissue and bone within the mouse embryo, and to quantify bone density. Compared with polychromatic CT using an integrating detector this approach yields a number of significant advantages for materials specific imaging and quantification.
Publication Type: Journal Article
Grant Details: ARC/CE140100011
Source of Publication: Optics Express, 25(23), p. 29328-29341
Publisher: Optical Society of America
Place of Publication: United States of America
ISSN: 1094-4087
Field of Research (FOR): 020501 Classical and Physical Optics
Peer Reviewed: Yes
HERDC Category Description: C1 Refereed Article in a Scholarly Journal
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