Algorithm of pulmonary emphysema analysis using comparing with expiratory and inspiratory state of CT images

Ryosuke Kobayashi, Toshiyuki Tanaka, Hidetoshi Nakamura, Toru Shirahata, Hiroaki Sugiura

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

3 Citations (Scopus)

Abstract

Chronic smoking increases number of pulmonary emphysema patient. It is difficult to cure pulmonary emphysema, because alveoli are destroyed. Early discovery is desired to stop the progress of the disease. Diagnosis imaging by CT images gives early detection. But diagnostician makes a diagnosis basis of their experience, and it is subjective. I compare expiratory and inspiratory state of CT images of lung to give objective criterion to discriminate degree of severity of pulmonary emphysema.

Original languageEnglish
Title of host publicationProceedings of SICE Annual Conference 2008 - International Conference on Instrumentation, Control and Information Technology
Pages3105-3109
Number of pages5
DOIs
Publication statusPublished - 2008 Dec 1
EventSICE Annual Conference 2008 - International Conference on Instrumentation, Control and Information Technology - Tokyo, Japan
Duration: 2008 Aug 202008 Aug 22

Publication series

NameProceedings of the SICE Annual Conference

Other

OtherSICE Annual Conference 2008 - International Conference on Instrumentation, Control and Information Technology
CountryJapan
CityTokyo
Period08/8/2008/8/22

    Fingerprint

Keywords

  • COPD
  • Emphysema
  • Expiratory
  • Image analysis
  • Inspiratory
  • Low attenuate area
  • Pulmonary

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science Applications
  • Electrical and Electronic Engineering

Cite this

Kobayashi, R., Tanaka, T., Nakamura, H., Shirahata, T., & Sugiura, H. (2008). Algorithm of pulmonary emphysema analysis using comparing with expiratory and inspiratory state of CT images. In Proceedings of SICE Annual Conference 2008 - International Conference on Instrumentation, Control and Information Technology (pp. 3105-3109). [4655198] (Proceedings of the SICE Annual Conference). https://doi.org/10.1109/SICE.2008.4655198