Automated Quantification of Pneumothorax in CT

Abstract

An automated, computer-aided diagnosis (CAD) algorithm for the quantification of pneumothoraces from Multidetector Computed Tomography (MDCT) images has been developed. Algorithm performance was evaluated through comparison to manual segmentation by expert radiologists. A combination of two-dimensional and three-dimensional processing techniques was incorporated to reduce required processing time by two-thirds (as compared to similar techniques). Volumetric measurements on relative pneumothorax size were obtained and the overall performance of the automated method shows an average error of just below 1%.

Document Details

Document Type
Pub Defense Publication
Publication Date
Jan 01, 2012
Source ID
10.1155/2012/736320

Entities

People

  • Homer Pien
  • Kristen Salvaggio
  • Mannudeep Kalra
  • Nabeel U. Ali
  • Supriya Gupta
  • Synho Do

Organizations

  • Albany Medical College
  • Defense Advanced Research Projects Agency
  • Massachusetts General Hospital

Tags

Fields of Study

  • Physics

Readers

  • Computational Modeling and Simulation
  • Database Systems and Applications
  • Medical Imaging.