Review of automatic pulmonary lobe segmentation methods from CT

Comput Med Imaging Graph. 2015 Mar:40:13-29. doi: 10.1016/j.compmedimag.2014.10.008. Epub 2014 Oct 28.

Abstract

The computational detection of pulmonary lobes from CT images is a challenging segmentation problem with important respiratory health care applications, including surgical planning and regional image analysis. Several authors have proposed automated algorithms and we present a methodological review. These algorithms share a number of common stages and we consider each stage in turn, comparing the methods applied by each author and discussing their relative strengths. No standard method has yet emerged and none of the published methods have been demonstrated across a full range of clinical pathologies and imaging protocols. We discuss how improved methods could be developed by combining different approaches, and we use this to propose a workflow for the development of new algorithms.

Keywords: CT; Fissure; Lobe; Lung; Pulmonary; Segmentation.

Publication types

  • Comparative Study
  • Evaluation Study
  • Research Support, Non-U.S. Gov't
  • Review

MeSH terms

  • Algorithms*
  • Artificial Intelligence
  • Humans
  • Lung / diagnostic imaging*
  • Pattern Recognition, Automated / methods*
  • Radiographic Image Enhancement / methods
  • Radiographic Image Interpretation, Computer-Assisted / methods*
  • Radiography, Thoracic / methods*
  • Reproducibility of Results
  • Sensitivity and Specificity
  • Subtraction Technique
  • Tomography, X-Ray Computed / methods*