Automated volumetric segmentation method for computerizeddiagnosis of pure nodular ground-glass opacity in high-resolution CT

Wooram Son, Sang Joon Park, Chang Min Park, Jin Mo Goo, Jong Hyo Kim

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

8 Scopus citations

Abstract

While accurate diagnosis of pure nodular ground glass opacity (PNGGO) is important in order to reduce the number of unnecessary biopsies, computer-aided diagnosis of PNGGO is less studied than other types of pulmonary nodules (e.g., solid-type nodule). Difficulty in segmentation of GGO nodules is one of technical bottleneck in the development of CAD of GGO nodules. In this study, we propose an automated volumetric segmentation method for PNGGO using a modeling of ROI histogram with a Gaussian mixture. Our proposed method segments lungs and applies noise-filtering in the pre-processing step. And then, histogram of selected ROI is modeled as a mixture of two Gaussians representing lung parenchyma and GGO tissues. The GGO nodule is then segmented by region-growing technique that employs the histogram model as a probability density function of each pixel belonging to GGO nodule, followed by the elimination of vessel-like structure around the nodules using morphological image operations. Our results using a database of 26 cases indicate that the automated segmentation method have a promising potential.

Original languageEnglish
Title of host publicationMedical Imaging 2010
Subtitle of host publicationComputer-Aided Diagnosis
EditorsRonald M. Summers, Nico Karssemeijer
PublisherSPIE
ISBN (Electronic)9780819480255
DOIs
StatePublished - 2010
EventMedical Imaging 2010: Computer-Aided Diagnosis - San Diego, United States
Duration: 16 Feb 201018 Feb 2010

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume7624
ISSN (Print)1605-7422

Other

OtherMedical Imaging 2010: Computer-Aided Diagnosis
Country/TerritoryUnited States
CitySan Diego
Period16/02/1018/02/10

Keywords

  • computer-aided diagnosis
  • nodule segmentation
  • pure nodular ground-glass opacity

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