Emphysema Quantification on Cardiac CT Scans Using Hidden Markov Measure Field Model: The MESA Lung Study

Med Image Comput Comput Assist Interv. 2016 Oct:9901:624-631. doi: 10.1007/978-3-319-46723-8_72. Epub 2016 Oct 2.

Abstract

Cardiac computed tomography (CT) scans include approximately 2/3 of the lung and can be obtained with low radiation exposure. Large cohorts of population-based research studies reported high correlations of emphysema quantification between full-lung (FL) and cardiac CT scans, using thresholding-based measurements. This work extends a hidden Markov measure field (HMMF) model-based segmentation method for automated emphysema quantification on cardiac CT scans. We show that the HMMF-based method, when compared with several types of thresholding, provides more reproducible emphysema segmentation on repeated cardiac scans, and more consistent measurements between longitudinal cardiac and FL scans from a diverse pool of scanner types and thousands of subjects with ten thousands of scans.

MeSH terms

  • Algorithms
  • Heart / diagnostic imaging*
  • Humans
  • Lung / diagnostic imaging
  • Markov Chains
  • Pulmonary Emphysema / diagnostic imaging*
  • Reproducibility of Results
  • Sensitivity and Specificity
  • Tomography, X-Ray Computed*