Accuracy improvement for analysis of emphysema by lung lobe segmentation

Kazuaki Neda, Toshiyuki Tanaka, Shotaro Chubachi, Hiroaki Sugiura

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

Abstract

Emphysema is a kind of obstructive lung disease, and the number of patients is increasing in recent years. The increase of the number of patients cause the increase of burden of physician, so computer aided diagnosis is strongly required and many researchers have been involved. In this study, we introduce a method of lung lobe segmentation. We incorporated this segmentation method into discriminant system of Emphysem and aimed at reducing false negative rate. To segment lobes, we emphasize the rarefied regions of the vessel by projecting an image to the sagittal plane, and applied basic techniques of image processing. Lastly, we carried out discriminant analysis based on the Mahalanobis's generalized distance. As a result, there was a reduction of 18.7% false-negative rate and improvement of 11.2% determining rate of positive compared to the conventional segmentation that uses only information of height.

Original languageEnglish
Title of host publicationSICE 2011 - SICE Annual Conference 2011, Final Program and Abstracts
PublisherSociety of Instrument and Control Engineers (SICE)
Pages1498-1500
Number of pages3
ISBN (Print)9784907764395
Publication statusPublished - 2011 Jan 1
Event50th Annual Conference on Society of Instrument and Control Engineers, SICE 2011 - Tokyo, Japan
Duration: 2011 Sep 132011 Sep 18

Publication series

NameProceedings of the SICE Annual Conference

Other

Other50th Annual Conference on Society of Instrument and Control Engineers, SICE 2011
CountryJapan
CityTokyo
Period11/9/1311/9/18

Keywords

  • CT image
  • Emphysema
  • Lung Lobe Segmentation

ASJC Scopus subject areas

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

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