An automated three-dimensional visualization and classification of emphysema using neural network

Tan Kok Liang, Toshiyuki Tanaka, Hidetoshi Nakamura, Toru Shirahata, Hiroaki Sugiura

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

1 Citation (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. Emphysema is what occurs as more and more of the walls between air sacs get destroyed. Computed tomography (CT) image has been a useful modality for assessing diffuse lung diseases, particularly, emphysema. At present, diagnosis of emphysema is done by using spirometry, X-rays, spiral chest computed tomography (CT)-scan, bronchoscopy, blood tests and pulse oximetry. In this study, we extracted the two-dimensional emphysematous lung tissues in the lung CT automatically using digital image processing techniques, then we visualized the extracted emphysematous lung tissues by implementing a three-dimensional (3D) lung model which was computed using 55 pre-processed CT images, and finally we divided the lung model into eight sub-volumes and classified each sub-volume into five classes of emphysema related severity using an artificial neural network. The performance of the classifier was assessed using the leave-one-out method on 120 sub-volumes of the lungs generated from 15 COPD-verified patients' CT data sets.

Original languageEnglish
Title of host publicationConference Record - Asilomar Conference on Signals, Systems and Computers
Pages1936-1940
Number of pages5
DOIs
Publication statusPublished - 2008
Event2008 42nd Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2008 - Pacific Grove, CA, United States
Duration: 2008 Oct 262008 Oct 29

Other

Other2008 42nd Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2008
CountryUnited States
CityPacific Grove, CA
Period08/10/2608/10/29

Fingerprint

Tomography
Visualization
Pulmonary diseases
Neural networks
Tissue
Air
Image processing
Blood
Classifiers
X rays

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Signal Processing

Cite this

Liang, T. K., Tanaka, T., Nakamura, H., Shirahata, T., & Sugiura, H. (2008). An automated three-dimensional visualization and classification of emphysema using neural network. In Conference Record - Asilomar Conference on Signals, Systems and Computers (pp. 1936-1940). [5074767] https://doi.org/10.1109/ACSSC.2008.5074767

An automated three-dimensional visualization and classification of emphysema using neural network. / Liang, Tan Kok; Tanaka, Toshiyuki; Nakamura, Hidetoshi; Shirahata, Toru; Sugiura, Hiroaki.

Conference Record - Asilomar Conference on Signals, Systems and Computers. 2008. p. 1936-1940 5074767.

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

Liang, TK, Tanaka, T, Nakamura, H, Shirahata, T & Sugiura, H 2008, An automated three-dimensional visualization and classification of emphysema using neural network. in Conference Record - Asilomar Conference on Signals, Systems and Computers., 5074767, pp. 1936-1940, 2008 42nd Asilomar Conference on Signals, Systems and Computers, ASILOMAR 2008, Pacific Grove, CA, United States, 08/10/26. https://doi.org/10.1109/ACSSC.2008.5074767
Liang TK, Tanaka T, Nakamura H, Shirahata T, Sugiura H. An automated three-dimensional visualization and classification of emphysema using neural network. In Conference Record - Asilomar Conference on Signals, Systems and Computers. 2008. p. 1936-1940. 5074767 https://doi.org/10.1109/ACSSC.2008.5074767
Liang, Tan Kok ; Tanaka, Toshiyuki ; Nakamura, Hidetoshi ; Shirahata, Toru ; Sugiura, Hiroaki. / An automated three-dimensional visualization and classification of emphysema using neural network. Conference Record - Asilomar Conference on Signals, Systems and Computers. 2008. pp. 1936-1940
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