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X-Ray Phase-Contrast CT of a Pancreatic Ductal Adenocarcinoma Mouse Model

Tapfer, Arne ; Braren, Rickmer ; Bech, Martin LU orcid ; Willner, Marian ; Zanette, Irene ; Weitkamp, Timm ; Trajkovic-Arsic, Marija ; Siveke, Jens T. ; Settles, Marcus and Aichler, Michaela , et al. (2013) In PLoS ONE 8(3).
Abstract
To explore the potential of grating-based x-ray phase-contrast computed tomography (CT) for preclinical research, a genetically engineered mouse model of pancreatic ductal adenocarcinoma (PDAC) was investigated. One ex-vivo mouse specimen was scanned with different grating-based phase-contrast CT imaging setups covering two different settings: i) high-resolution synchrotron radiation (SR) imaging and ii) dose-reduced imaging using either synchrotron radiation or a conventional x-ray tube source. These experimental settings were chosen to assess the potential of phase-contrast imaging for two different types of application: i) high-performance imaging for virtual microscopy applications and ii) biomedical imaging with increased soft-tissue... (More)
To explore the potential of grating-based x-ray phase-contrast computed tomography (CT) for preclinical research, a genetically engineered mouse model of pancreatic ductal adenocarcinoma (PDAC) was investigated. One ex-vivo mouse specimen was scanned with different grating-based phase-contrast CT imaging setups covering two different settings: i) high-resolution synchrotron radiation (SR) imaging and ii) dose-reduced imaging using either synchrotron radiation or a conventional x-ray tube source. These experimental settings were chosen to assess the potential of phase-contrast imaging for two different types of application: i) high-performance imaging for virtual microscopy applications and ii) biomedical imaging with increased soft-tissue contrast for in-vivo applications. For validation and as a reference, histological slicing and magnetic resonance imaging (MRI) were performed on the same mouse specimen. For each x-ray imaging setup, attenuation and phase-contrast images were compared visually with regard to contrast in general, and specifically concerning the recognizability of lesions and cancerous tissue. To quantitatively assess contrast, the contrast-to-noise ratios (CNR) of selected regions of interest (ROI) in the attenuation images and the phase images were analyzed and compared. It was found that both for virtual microscopy and for in-vivo applications, there is great potential for phase-contrast imaging: in the SR-based benchmarking data, fine details about tissue composition are accessible in the phase images and the visibility of solid tumor tissue under dose-reduced conditions is markedly superior in the phase images. The present study hence demonstrates improved diagnostic value with phase-contrast CT in a mouse model of a complex endogenous cancer, promoting the use and further development of grating-based phase-contrast CT for biomedical imaging applications. (Less)
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organization
publishing date
type
Contribution to journal
publication status
published
subject
in
PLoS ONE
volume
8
issue
3
article number
e58439
publisher
Public Library of Science (PLoS)
external identifiers
  • wos:000316251100051
  • scopus:84874867575
  • pmid:23536795
ISSN
1932-6203
DOI
10.1371/journal.pone.0058439
language
English
LU publication?
yes
id
b9bbb1e8-bee7-41d2-9914-0ae4d45d6411 (old id 3760964)
date added to LUP
2016-04-01 14:57:20
date last changed
2022-04-06 21:19:14
@article{b9bbb1e8-bee7-41d2-9914-0ae4d45d6411,
  abstract     = {{To explore the potential of grating-based x-ray phase-contrast computed tomography (CT) for preclinical research, a genetically engineered mouse model of pancreatic ductal adenocarcinoma (PDAC) was investigated. One ex-vivo mouse specimen was scanned with different grating-based phase-contrast CT imaging setups covering two different settings: i) high-resolution synchrotron radiation (SR) imaging and ii) dose-reduced imaging using either synchrotron radiation or a conventional x-ray tube source. These experimental settings were chosen to assess the potential of phase-contrast imaging for two different types of application: i) high-performance imaging for virtual microscopy applications and ii) biomedical imaging with increased soft-tissue contrast for in-vivo applications. For validation and as a reference, histological slicing and magnetic resonance imaging (MRI) were performed on the same mouse specimen. For each x-ray imaging setup, attenuation and phase-contrast images were compared visually with regard to contrast in general, and specifically concerning the recognizability of lesions and cancerous tissue. To quantitatively assess contrast, the contrast-to-noise ratios (CNR) of selected regions of interest (ROI) in the attenuation images and the phase images were analyzed and compared. It was found that both for virtual microscopy and for in-vivo applications, there is great potential for phase-contrast imaging: in the SR-based benchmarking data, fine details about tissue composition are accessible in the phase images and the visibility of solid tumor tissue under dose-reduced conditions is markedly superior in the phase images. The present study hence demonstrates improved diagnostic value with phase-contrast CT in a mouse model of a complex endogenous cancer, promoting the use and further development of grating-based phase-contrast CT for biomedical imaging applications.}},
  author       = {{Tapfer, Arne and Braren, Rickmer and Bech, Martin and Willner, Marian and Zanette, Irene and Weitkamp, Timm and Trajkovic-Arsic, Marija and Siveke, Jens T. and Settles, Marcus and Aichler, Michaela and Walch, Axel and Pfeiffer, Franz}},
  issn         = {{1932-6203}},
  language     = {{eng}},
  number       = {{3}},
  publisher    = {{Public Library of Science (PLoS)}},
  series       = {{PLoS ONE}},
  title        = {{X-Ray Phase-Contrast CT of a Pancreatic Ductal Adenocarcinoma Mouse Model}},
  url          = {{https://lup.lub.lu.se/search/files/4265010/4124188.pdf}},
  doi          = {{10.1371/journal.pone.0058439}},
  volume       = {{8}},
  year         = {{2013}},
}