Literature DB >> 23219282

Comparison of contrast-to-noise ratios of transmission and dark-field signal in grating-based X-ray imaging for healthy murine lung tissue.

Felix Schwab1, Simone Schleede, Dieter Hahn, Martin Bech, Julia Herzen, Sigrid Auweter, Fabian Bamberg, Klaus Achterhold, Ali Ö Yildirim, Alexander Bohla, Oliver Eickelberg, Rod Loewen, Martin Gifford, Ronald Ruth, Maximilian F Reiser, Konstantin Nikolaou, Franz Pfeiffer, Felix G Meinel.   

Abstract

PURPOSE: An experimental comparison of the contrast-to-noise ratio (CNR) between transmission and dark-field signals in grating-based X-ray imaging for ex-vivo murine lung tissue.
MATERIALS AND METHODS: Lungs from three healthy mice were imaged ex vivo using a laser-driven compact synchrotron X-ray source. Background noise of transmission and dark-field signal was quantified by measuring the standard deviation in a region of interest (ROI) placed in a homogeneous area outside the specimen. Image contrast was quantified by measuring the signal range in rectangular ROIs placed in central and peripheral lung parenchyma. The relative contrast gain (RCG) of dark-field over transmission images was calculated as CNRDF / CNRT.
RESULTS: In all images, there was a trend for contrast-to-noise ratios of dark-field images (CNRDF) to be higher than for transmission images (CNRT) for all ROIs (median 61 vs. 38, p=0.10), but the difference was statistically significant only for peripheral ROIs (61 vs. 32, p=0.03). Median RCG was >1 for all ROIs (1.84). RCG values were significantly smaller for central ROIs than for peripheral ROIs (1.34 vs. 2.43, p=0.03).
CONCLUSION: The contrast-to-noise ratio of dark-field images compares more favorably to the contrast-to-noise ratio of transmission images for peripheral lung regions as compared to central regions. For any specific specimen, a calculation of the RCG allows comparing which X-ray modality (dark-field or transmission imaging) produces better contrast-to-noise characteristics in a well-defined ROI.
Copyright © 2012. Published by Elsevier GmbH.

Entities:  

Keywords:  Bildkontrast; Image contrast; Lungenbildgebung; Röntgen-Dunkelfeld-Bildgebung; Röntgen-Phasenkontrast-Bildgebung; X-ray dark-field imaging; X-ray phase-contrast imaging; lung imaging

Mesh:

Year:  2012        PMID: 23219282     DOI: 10.1016/j.zemedi.2012.11.003

Source DB:  PubMed          Journal:  Z Med Phys        ISSN: 0939-3889            Impact factor:   4.820


  2 in total

1.  X-ray dark-field radiography facilitates the diagnosis of pulmonary fibrosis in a mouse model.

Authors:  Katharina Hellbach; Andre Yaroshenko; Konstantin Willer; Thomas M Conlon; Margarita B Braunagel; Sigrid Auweter; Ali Ö Yildirim; Oliver Eickelberg; Franz Pfeiffer; Maximilian F Reiser; Felix G Meinel
Journal:  Sci Rep       Date:  2017-03-23       Impact factor: 4.379

2.  Novel imaging approaches for small animal models of lung disease (2017 Grover Conference series).

Authors:  Isaac P Pinar; Heather D Jones
Journal:  Pulm Circ       Date:  2018-02-26       Impact factor: 3.017

  2 in total

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