A neural network based computer-aided diagnosis of emphysema using CT lung images

Tan Kok Liang, Toshiyuki Tanaka, Hidetoshi Nakamura, Akitoshi Ishizaka

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

9 Citations (Scopus)

Abstract

Chronic Obstructive Pulmonary Disease (COPD) is a disease in which the airways and tiny air sacs (alveoli) inside the lungs are partially obstructed or destroyed. The result is labored breathing. There are varying degrees of this illness, and different names for them, but it all comes back to damaged airways and air sacs. Emphysema is what occurs as more and more of the walls between air sacs get destroyed. Instead of having lots of little sacs, the sacs break up and what is left are larger sacs. These bigger sacs have less surface area for the exchange of oxygen and carbon dioxide than the tiny ones. Poor exchange of oxygen and carbon dioxide causes shortness of breath. At present, diagnosis of emphysema is done by using spirometry, X-rays, spiral chest CT-scan, bronchoscopy, pulse oximetry and arterial blood gas sampling. This paper proposes a computer-aided diagnostic system for emphysema that segments the lungs into multiple square regions and classifies the segmented regions into 5 classes of severity. The proposed algorithm is divided into three stages: 1. digital image processing, 2. feature extraction, and 3. classification using neural network (NN). The aim of this paper is to analyze the severity of the lungs region by region along with NN classification.

Original languageEnglish
Title of host publicationProceedings of the SICE Annual Conference
Pages703-709
Number of pages7
DOIs
Publication statusPublished - 2007
EventSICE(Society of Instrument and Control Engineers)Annual Conference, SICE 2007 - Takamatsu, Japan
Duration: 2007 Sep 172007 Sep 20

Other

OtherSICE(Society of Instrument and Control Engineers)Annual Conference, SICE 2007
CountryJapan
CityTakamatsu
Period07/9/1707/9/20

Fingerprint

Computer aided diagnosis
Neural networks
Carbon dioxide
Air
Pulmonary diseases
Oxygen
Computerized tomography
Feature extraction
Image processing
Blood
Sampling
X rays
Gases

Keywords

  • Emphysema
  • Image processing
  • Neural network
  • Region by region

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Liang, T. K., Tanaka, T., Nakamura, H., & Ishizaka, A. (2007). A neural network based computer-aided diagnosis of emphysema using CT lung images. In Proceedings of the SICE Annual Conference (pp. 703-709). [4421073] https://doi.org/10.1109/SICE.2007.4421073

A neural network based computer-aided diagnosis of emphysema using CT lung images. / Liang, Tan Kok; Tanaka, Toshiyuki; Nakamura, Hidetoshi; Ishizaka, Akitoshi.

Proceedings of the SICE Annual Conference. 2007. p. 703-709 4421073.

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

Liang, TK, Tanaka, T, Nakamura, H & Ishizaka, A 2007, A neural network based computer-aided diagnosis of emphysema using CT lung images. in Proceedings of the SICE Annual Conference., 4421073, pp. 703-709, SICE(Society of Instrument and Control Engineers)Annual Conference, SICE 2007, Takamatsu, Japan, 07/9/17. https://doi.org/10.1109/SICE.2007.4421073
Liang TK, Tanaka T, Nakamura H, Ishizaka A. A neural network based computer-aided diagnosis of emphysema using CT lung images. In Proceedings of the SICE Annual Conference. 2007. p. 703-709. 4421073 https://doi.org/10.1109/SICE.2007.4421073
Liang, Tan Kok ; Tanaka, Toshiyuki ; Nakamura, Hidetoshi ; Ishizaka, Akitoshi. / A neural network based computer-aided diagnosis of emphysema using CT lung images. Proceedings of the SICE Annual Conference. 2007. pp. 703-709
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