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A texture analysis approach to quantify ventilation changes in hyperpolarised ³He MRI of the rat lung in an asthma model

Risse, Frank ; Pesic, Jelena ; Young, Simon and Olsson, Lars E LU orcid (2012) In NMR in Biomedicine 25(1). p.41-131
Abstract

In preclinical research, allergic asthma is investigated in rats sensitised with the antigen ovalbumin (OVA), followed by a challenge with aerosolised OVA to induce an inflammatory reaction of the lower airways. This causes diffuse, nonfocal ventilation defects that lead to heterogeneously distributed signal intensities in hyperpolarised (HP) (3)He MR images, which are difficult to assess directly by diagnostic grading or volumetry. Texture analysis can characterise these changes and does not require segmentation of the lung structures prior to the analysis. The aim of this work was to evaluate a texture analysis approach to quantify changes in lung ventilation in HP (3)He MRI of OVA-challenged rats. OVA-challenged animals were treated... (More)

In preclinical research, allergic asthma is investigated in rats sensitised with the antigen ovalbumin (OVA), followed by a challenge with aerosolised OVA to induce an inflammatory reaction of the lower airways. This causes diffuse, nonfocal ventilation defects that lead to heterogeneously distributed signal intensities in hyperpolarised (HP) (3)He MR images, which are difficult to assess directly by diagnostic grading or volumetry. Texture analysis can characterise these changes and does not require segmentation of the lung structures prior to the analysis. The aim of this work was to evaluate a texture analysis approach to quantify changes in lung ventilation in HP (3)He MRI of OVA-challenged rats. OVA-challenged animals were treated with two different compound doses to evaluate the sensitivity of the texture analysis. Four groups were investigated using HP (3)He MRI at 4.7 T: controls, vehicle-treated, and low- and high-dose budesonide-treated rats. In addition, broncho-alveolar lavage was performed and the eosinophil cell count was used as a biological reference marker. First-order texture, geometrical features and features based on second-order statistics using run-length and grey-level co-occurrence matrices were calculated. In addition, wavelet transforms were applied to compute first-order statistics on multiple scales. The texture analysis was able to show significant differences between the control and untreated vehicle groups as well as between the vehicle and treatment groups. This is in agreement with the findings of the eosinophil cell counts, which were used as a marker for the severity of inflammation. However, not all features used in the different texture analysis methods could differentiate between the treatment groups. In conclusion, texture analysis can be used to quantify changes in lung ventilation as measured with HP (3)He MRI after therapeutic intervention with budesonide.

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author
; ; and
publishing date
type
Contribution to journal
publication status
published
keywords
Analysis of Variance, Animals, Asthma, Budesonide, Disease Models, Animal, Eosinophils, Image Processing, Computer-Assisted, Linear Models, Lung, Magnetic Resonance Imaging, Male, Rats, Rats, Inbred BN, Respiration
in
NMR in Biomedicine
volume
25
issue
1
pages
11 pages
publisher
John Wiley & Sons Inc.
external identifiers
  • pmid:21739495
  • scopus:84855888225
ISSN
0952-3480
DOI
10.1002/nbm.1725
language
English
LU publication?
no
id
4d9c84e8-2118-4e7c-918c-aa24b1a9b831
date added to LUP
2016-08-16 12:09:16
date last changed
2024-02-02 21:53:03
@article{4d9c84e8-2118-4e7c-918c-aa24b1a9b831,
  abstract     = {{<p>In preclinical research, allergic asthma is investigated in rats sensitised with the antigen ovalbumin (OVA), followed by a challenge with aerosolised OVA to induce an inflammatory reaction of the lower airways. This causes diffuse, nonfocal ventilation defects that lead to heterogeneously distributed signal intensities in hyperpolarised (HP) (3)He MR images, which are difficult to assess directly by diagnostic grading or volumetry. Texture analysis can characterise these changes and does not require segmentation of the lung structures prior to the analysis. The aim of this work was to evaluate a texture analysis approach to quantify changes in lung ventilation in HP (3)He MRI of OVA-challenged rats. OVA-challenged animals were treated with two different compound doses to evaluate the sensitivity of the texture analysis. Four groups were investigated using HP (3)He MRI at 4.7 T: controls, vehicle-treated, and low- and high-dose budesonide-treated rats. In addition, broncho-alveolar lavage was performed and the eosinophil cell count was used as a biological reference marker. First-order texture, geometrical features and features based on second-order statistics using run-length and grey-level co-occurrence matrices were calculated. In addition, wavelet transforms were applied to compute first-order statistics on multiple scales. The texture analysis was able to show significant differences between the control and untreated vehicle groups as well as between the vehicle and treatment groups. This is in agreement with the findings of the eosinophil cell counts, which were used as a marker for the severity of inflammation. However, not all features used in the different texture analysis methods could differentiate between the treatment groups. In conclusion, texture analysis can be used to quantify changes in lung ventilation as measured with HP (3)He MRI after therapeutic intervention with budesonide.</p>}},
  author       = {{Risse, Frank and Pesic, Jelena and Young, Simon and Olsson, Lars E}},
  issn         = {{0952-3480}},
  keywords     = {{Analysis of Variance; Animals; Asthma; Budesonide; Disease Models, Animal; Eosinophils; Image Processing, Computer-Assisted; Linear Models; Lung; Magnetic Resonance Imaging; Male; Rats; Rats, Inbred BN; Respiration}},
  language     = {{eng}},
  number       = {{1}},
  pages        = {{41--131}},
  publisher    = {{John Wiley & Sons Inc.}},
  series       = {{NMR in Biomedicine}},
  title        = {{A texture analysis approach to quantify ventilation changes in hyperpolarised ³He MRI of the rat lung in an asthma model}},
  url          = {{http://dx.doi.org/10.1002/nbm.1725}},
  doi          = {{10.1002/nbm.1725}},
  volume       = {{25}},
  year         = {{2012}},
}