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Estimation of in vivo pulmonary microvascular and interstitial geometry using digital image analysis

Venturoli, Daniele LU ; Crisafulli, B; Del Fabbro, M; Negrini, D and Miserocchi, G (1995) In Microcirculation 2(1). p.27-40
Abstract
OBJECTIVE: To determine microvascular diameter and perivascular interstitium thickness at the lung surface in the in situ, in vivo lung. METHODS: Microscopic images of the lung surface collected through a "pleural window" by a videocamera were digitized with a monochrome frame grabber (512 x 512 pixels, 8 bits per pixels) to be computer analyzed by image processing techniques. RESULTS: We found that the maxima in the distribution of the standard deviations of gray levels in adjacent neighbors 7 x 7 pixels wide identify the edges between the microvessel lumen and the surrounding perivascular interstitium. Furthermore, the maxima in the distribution of the standard deviation of the standard deviations of gray levels identify the edges... (More)
OBJECTIVE: To determine microvascular diameter and perivascular interstitium thickness at the lung surface in the in situ, in vivo lung. METHODS: Microscopic images of the lung surface collected through a "pleural window" by a videocamera were digitized with a monochrome frame grabber (512 x 512 pixels, 8 bits per pixels) to be computer analyzed by image processing techniques. RESULTS: We found that the maxima in the distribution of the standard deviations of gray levels in adjacent neighbors 7 x 7 pixels wide identify the edges between the microvessel lumen and the surrounding perivascular interstitium. Furthermore, the maxima in the distribution of the standard deviation of the standard deviations of gray levels identify the edges between the perivascular interstitium and the lung tissue. CONCLUSIONS: This technique can be applied to microvessels ranging in diameter from 30 microns to 200 microns and perivascular interstitial thickness of the order of 10-150 microns. Our approach allows for the definition of microvascular geometry even for noisy images and represents an improvement compared to other edge detection methods. The proposed analytical procedure may provide a useful tool to study lung fluid balance and microvascular reactivity in the in situ lung in the normal state and in response to a variety of functional conditions. (Less)
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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Microcirculation
volume
2
issue
1
pages
27 - 40
publisher
Taylor & Francis
external identifiers
  • pmid:8542538
  • scopus:0029295598
ISSN
1549-8719
language
English
LU publication?
yes
id
0515411a-7c85-4329-92a7-733ca45a6973 (old id 1109113)
date added to LUP
2008-07-25 14:01:53
date last changed
2017-01-01 05:00:29
@article{0515411a-7c85-4329-92a7-733ca45a6973,
  abstract     = {OBJECTIVE: To determine microvascular diameter and perivascular interstitium thickness at the lung surface in the in situ, in vivo lung. METHODS: Microscopic images of the lung surface collected through a "pleural window" by a videocamera were digitized with a monochrome frame grabber (512 x 512 pixels, 8 bits per pixels) to be computer analyzed by image processing techniques. RESULTS: We found that the maxima in the distribution of the standard deviations of gray levels in adjacent neighbors 7 x 7 pixels wide identify the edges between the microvessel lumen and the surrounding perivascular interstitium. Furthermore, the maxima in the distribution of the standard deviation of the standard deviations of gray levels identify the edges between the perivascular interstitium and the lung tissue. CONCLUSIONS: This technique can be applied to microvessels ranging in diameter from 30 microns to 200 microns and perivascular interstitial thickness of the order of 10-150 microns. Our approach allows for the definition of microvascular geometry even for noisy images and represents an improvement compared to other edge detection methods. The proposed analytical procedure may provide a useful tool to study lung fluid balance and microvascular reactivity in the in situ lung in the normal state and in response to a variety of functional conditions.},
  author       = {Venturoli, Daniele and Crisafulli, B and Del Fabbro, M and Negrini, D and Miserocchi, G},
  issn         = {1549-8719},
  language     = {eng},
  number       = {1},
  pages        = {27--40},
  publisher    = {Taylor & Francis},
  series       = {Microcirculation},
  title        = {Estimation of in vivo pulmonary microvascular and interstitial geometry using digital image analysis},
  volume       = {2},
  year         = {1995},
}