Dynamic chest image analysis: Evaluation of model-based ventilation study with pyramid images

Jianming Liang, Raimo Virkki, Timo Jarvi, Aaro Kiuru, Martti Kormano, Erkki Svedstrom

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Abstract

The dynamic chest image analysis is studied to develop computer analysis and visualization methods for showing focal and general abnormalities of lung ventilation and perfusion based on a sequence of digital chest fluoroscopy frames collected at different phases of the respiratory cycles in a short period of time. A multiresolution method for ventilation study with an explicit ventilation model based on pyramid images is proposed. The model aims at extracting accurate, geographic ventilation parameters, and the pyramid helps in understanding the ventilation at multiple resolutions and speeding up the convergence process in optimization.

Original languageEnglish (US)
Title of host publicationProceedings of the IEEE International Conference on Intelligent Processing Systems, ICIPS
Place of PublicationPiscataway, NJ, United States
PublisherIEEE
Pages989-993
Number of pages5
Volume2
StatePublished - 1998
Externally publishedYes
EventProceedings of the 1997 IEEE International Conference on Intelligent Processing Systems, ICIPS'97. Part 1 (of 2) - Beijing, China
Duration: Oct 28 1997Oct 31 1997

Other

OtherProceedings of the 1997 IEEE International Conference on Intelligent Processing Systems, ICIPS'97. Part 1 (of 2)
CityBeijing, China
Period10/28/9710/31/97

ASJC Scopus subject areas

  • Computer Science(all)
  • Engineering(all)

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