Publication detail

Analysis of fiber deposition using automatic image processing method

BĚLKA, M. LÍZAL, F. JEDELSKÝ, J. JÍCHA, M.

Original Title

Analysis of fiber deposition using automatic image processing method

English Title

Analysis of fiber deposition using automatic image processing method

Type

conference paper

Language

en

Original Abstract

Fibers are permanent threat for a human health. They have an ability to penetrate deeper in the human lung, deposit there and cause health hazards, e.g. lung cancer. An experiment was carried out to gain more data about deposition of fibers. Monodisperse glass fibers were delivered into a realistic model of human airways with an inspiratory flow rate of 30 l/min. Replica included human airways from oral cavity up to seventh generation of branching. Deposited fibers were rinsed from the model and placed on nitrocellulose filters after the delivery. A new novel method was established for deposition data acquisition. The method is based on a principle of image analysis. The images were captured by high definition camera attached to a phase contrast microscope. Results of new method were compared with standard PCM method, which follows methodology NIOSH 7400, and a good match was found. The new method was found applicable for evaluation of fibers and deposition fraction and deposition efficiency were calculated afterwards.

English abstract

Fibers are permanent threat for a human health. They have an ability to penetrate deeper in the human lung, deposit there and cause health hazards, e.g. lung cancer. An experiment was carried out to gain more data about deposition of fibers. Monodisperse glass fibers were delivered into a realistic model of human airways with an inspiratory flow rate of 30 l/min. Replica included human airways from oral cavity up to seventh generation of branching. Deposited fibers were rinsed from the model and placed on nitrocellulose filters after the delivery. A new novel method was established for deposition data acquisition. The method is based on a principle of image analysis. The images were captured by high definition camera attached to a phase contrast microscope. Results of new method were compared with standard PCM method, which follows methodology NIOSH 7400, and a good match was found. The new method was found applicable for evaluation of fibers and deposition fraction and deposition efficiency were calculated afterwards.

Keywords

aerosol, deposition, human lungs, fibers, deposition fraction and efficiency, image analysis, phase-contrast microscopy

RIV year

2012

Released

09.04.2013

Publisher

E D P SCIENCES

Location

FRANCE

ISBN

978-80-7372-912-7

Book

International Conference Experimental Fluid Mechanics 2012 Conference proceedings

Pages from

1

Pages to

4

Pages count

4

BibTex


@inproceedings{BUT95365,
  author="Miloslav {Bělka} and František {Lízal} and Jan {Jedelský} and Miroslav {Jícha}",
  title="Analysis of fiber deposition using automatic image processing method",
  annote="Fibers are permanent threat for a human health. They have an ability to penetrate deeper in the human lung, deposit there and cause health hazards, e.g. lung cancer. An experiment was carried out to gain more data about deposition of fibers. Monodisperse glass fibers were delivered into a realistic model of human airways with an inspiratory flow rate of 30 l/min. Replica included human airways from oral cavity up to seventh generation of branching. Deposited fibers were rinsed from the model and placed on nitrocellulose filters after the delivery. A new novel method was established for deposition data acquisition. The method is based on a principle of image analysis. The images were captured by high definition camera attached to a phase contrast microscope. Results of new method were compared with standard PCM method, which follows methodology NIOSH 7400, and a good match was found. The new method was found applicable for evaluation of fibers and deposition fraction and deposition efficiency were calculated afterwards.",
  address="E D P SCIENCES",
  booktitle="International Conference Experimental Fluid Mechanics 2012 Conference proceedings",
  chapter="95365",
  doi="10.1051/epjconf/20134501011",
  howpublished="online",
  institution="E D P SCIENCES",
  number="2013",
  year="2013",
  month="april",
  pages="1--4",
  publisher="E D P SCIENCES",
  type="conference paper"
}