Automated measurement of single and total lung volume from CT

J Comput Assist Tomogr. Jul-Aug 1999;23(4):632-40. doi: 10.1097/00004728-199907000-00027.


Purpose: The goal of this work was to develop an automated method for calculating single (SLV) and total (TLV) lung volumes from CT images.

Method: Patients underwent volumetric CT scanning through the entire chest in a single breath-hold, as well as pulmonary function tests. An automated, knowledge-based system was developed to segment the lungs in the CT images. Image-processing routines were used to extract sets of voxels from the image data that were identified by matching them to anatomical objects defined in a model. SLV and TLV were calculated by summing included voxels.

Results: For 43 patients analyzed, TLV from CT and total lung capacity from body plethysmography were strongly correlated (r = 0.90). On average, the CT-derived volume of the left lung accounted for 47.2% of the total.

Conclusion: A knowledge-based approach to segmentation of the lungs in CT can be used to automatically estimate SLV and TLV.

Publication types

  • Research Support, U.S. Gov't, P.H.S.

MeSH terms

  • Artificial Intelligence
  • Humans
  • Image Processing, Computer-Assisted
  • Lung / diagnostic imaging*
  • Lung Volume Measurements
  • Tomography, X-Ray Computed*