Pleural effusion segmentation in thin-slice CT

Rory Donohue, Andrew Shearer, John Bruzzi, Huma Khosa

Research output: Chapter in Book or Conference Publication/ProceedingConference Publicationpeer-review

2 Citations (Scopus)

Abstract

A pleural effusion is excess fluid that collects in the pleural cavity, the fluid-filled space that surrounds the lungs. Surplus amounts of such fluid can impair breathing by limiting the expansion of the lungs during inhalation. Measuring the fluid volume is indicative of the effectiveness of any treatment but, due to the similarity to surround regions, fragments of collapsed lung present and topological changes; accurate quantification of the effusion volume is a difficult imaging problem. A novel code is presented which performs conditional region growth to accurately segment the effusion shape across a dataset. We demonstrate the applicability of our technique in the segmentation of pleural effusion and pulmonary masses.

Original languageEnglish
Title of host publicationMedical Imaging 2009 - Image Processing
DOIs
Publication statusPublished - 2009
EventMedical Imaging 2009 - Image Processing - Lake Buena Vista, FL, United States
Duration: 8 Feb 200910 Feb 2009

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume7259
ISSN (Print)1605-7422

Conference

ConferenceMedical Imaging 2009 - Image Processing
Country/TerritoryUnited States
CityLake Buena Vista, FL
Period8/02/0910/02/09

Keywords

  • CT images
  • Effusion segmentation
  • Medical image segmentation

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