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Iterative reconstruction for few-view grating-based phase-contrast CT : An in vitro mouse model

Gaass, T. ; Potdevin, G. ; Bech, M. LU orcid ; Noël, P. B. ; Willner, M. ; Tapfer, A. ; Pfeiffer, F. and Haase, A. (2013) In EPL 102(4).
Abstract

The aim of this work is to investigate the improvement of image quality in few-view grating-based phase-contrast computed tomography (PCCT) applications via compressed sensing (CS) inspired iterative reconstruction on an in vitro mouse model. PCCT measurements are performed on a grating-based PCCT setup using a high-brilliance synchrotron source and a conventional tube source. The sampling density of the data is reduced by a factor of up to 20 and iteratively reconstructed. It is demonstrated that grating-based PCCT intrinsically meets the major conditions for a successful application of CS. Contrast fidelity and the reproduction of details is presented in all reconstructed objects. The feasibility of the iterative reconstruction on... (More)

The aim of this work is to investigate the improvement of image quality in few-view grating-based phase-contrast computed tomography (PCCT) applications via compressed sensing (CS) inspired iterative reconstruction on an in vitro mouse model. PCCT measurements are performed on a grating-based PCCT setup using a high-brilliance synchrotron source and a conventional tube source. The sampling density of the data is reduced by a factor of up to 20 and iteratively reconstructed. It is demonstrated that grating-based PCCT intrinsically meets the major conditions for a successful application of CS. Contrast fidelity and the reproduction of details is presented in all reconstructed objects. The feasibility of the iterative reconstruction on data generated with a conventional X-ray source is illustrated on a fluid phantom and a mouse specimen, undersampled by a factor of up to 20.

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author
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publishing date
type
Contribution to journal
publication status
published
subject
in
EPL
volume
102
issue
4
article number
48001
publisher
EDP Sciences
external identifiers
  • scopus:84880523766
ISSN
0295-5075
DOI
10.1209/0295-5075/102/48001
language
English
LU publication?
no
id
7e6e0614-a337-446d-818e-84a27da6f35a
date added to LUP
2022-04-07 11:13:14
date last changed
2022-04-07 17:01:04
@article{7e6e0614-a337-446d-818e-84a27da6f35a,
  abstract     = {{<p>The aim of this work is to investigate the improvement of image quality in few-view grating-based phase-contrast computed tomography (PCCT) applications via compressed sensing (CS) inspired iterative reconstruction on an in vitro mouse model. PCCT measurements are performed on a grating-based PCCT setup using a high-brilliance synchrotron source and a conventional tube source. The sampling density of the data is reduced by a factor of up to 20 and iteratively reconstructed. It is demonstrated that grating-based PCCT intrinsically meets the major conditions for a successful application of CS. Contrast fidelity and the reproduction of details is presented in all reconstructed objects. The feasibility of the iterative reconstruction on data generated with a conventional X-ray source is illustrated on a fluid phantom and a mouse specimen, undersampled by a factor of up to 20.</p>}},
  author       = {{Gaass, T. and Potdevin, G. and Bech, M. and Noël, P. B. and Willner, M. and Tapfer, A. and Pfeiffer, F. and Haase, A.}},
  issn         = {{0295-5075}},
  language     = {{eng}},
  number       = {{4}},
  publisher    = {{EDP Sciences}},
  series       = {{EPL}},
  title        = {{Iterative reconstruction for few-view grating-based phase-contrast CT : An in vitro mouse model}},
  url          = {{http://dx.doi.org/10.1209/0295-5075/102/48001}},
  doi          = {{10.1209/0295-5075/102/48001}},
  volume       = {{102}},
  year         = {{2013}},
}