Towards quantification of interstitial pneumonia patterns in lung multidetector CT

Panayiotis Korfiatis, Anna Karahaliou, Alexandra Kazantzi, Cristina Kalogeropoulou, Lena Costaridou

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

5 Scopus citations

Abstract

Quantification of Diffuse Parenchyma Lung Disease (DPLD) patterns challenges Computer Aided Diagnosis schemes in Computed Tomography (CT) lung analysis. In this study, an automated scheme for volumetric quantification of Interstitial Pneumonia (IP) patterns, a subset of DPLDs, is presented, utilizing a MultiDetector CT (MDCT) data set. Initially, Lung Field (LF) segmentation is achieved by 3D automated gray level thresholding combined to wavelet highlighting, followed by a texture based border refinement step. The vessel tree volume is identified and removed from LF, resulting in Lung Parenchyma (LP) volume. Following, the abnormal LP is differentiated from normal LP utilizing a 2 class k-means clustering. Quantification of IP patterns is formulated as a three-class pattern recognition problem to classify abnormal LP into ground glass, reticular and honeycomb patterns, by means of SVM voxel classification, exploiting 3D co-occurrence features. Performance of the proposed scheme in segmenting LF, as well as in quantifying normal LP, ground glass, reticular and honeycomb patterns was evaluated by means of volume overlap on 5 MDCT scans. Volume overlap for left LF and right LF was 0.95±0.03 and 0.96±0.02 respectively, while for normal LP, ground glass, reticular and honeycombing patterns was 0.89±0.02, 0.70±0.04, 0.72±0.05 and 0.71±0.03, respectively.

Original languageEnglish (US)
Title of host publication8th IEEE International Conference on BioInformatics and BioEngineering, BIBE 2008
DOIs
StatePublished - Dec 1 2008
Event8th IEEE International Conference on BioInformatics and BioEngineering, BIBE 2008 - Athens, Greece
Duration: Oct 8 2008Oct 10 2008

Publication series

Name8th IEEE International Conference on BioInformatics and BioEngineering, BIBE 2008

Other

Other8th IEEE International Conference on BioInformatics and BioEngineering, BIBE 2008
CountryGreece
CityAthens
Period10/8/0810/10/08

Keywords

  • 3D co-occurrence
  • Computer aided diagnosis
  • Diffuse lung diseases quantification
  • Multidetector CT
  • Support vector machine classification

ASJC Scopus subject areas

  • Biotechnology
  • Bioengineering

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  • Cite this

    Korfiatis, P., Karahaliou, A., Kazantzi, A., Kalogeropoulou, C., & Costaridou, L. (2008). Towards quantification of interstitial pneumonia patterns in lung multidetector CT. In 8th IEEE International Conference on BioInformatics and BioEngineering, BIBE 2008 [4696813] (8th IEEE International Conference on BioInformatics and BioEngineering, BIBE 2008). https://doi.org/10.1109/BIBE.2008.4696813