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Emphysema Quantification on Cardiac CT Scans Using Hidden Markov Measure Field Model: The MESA Lung Study
Jie Yang1, Elsa D Angelini1, Pallavi P Balte2
1Department of Biomedical Engineering, Columbia University, New York, NY, USA.
Medical Image Computing and Computer-Assisted Intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention
|August 29, 2017
Summary
This study introduces a new method for measuring emphysema using cardiac CT scans, offering more reliable results than traditional techniques. This approach enhances emphysema quantification for lung health research using cardiac imaging.
Area of Science:
- Radiology
- Pulmonary Medicine
- Medical Imaging Analysis
Background:
- Cardiac computed tomography (CT) scans capture a significant portion of the lungs with low radiation exposure.
- Previous research shows correlations in emphysema quantification between full-lung (FL) and cardiac CT scans using thresholding methods.
- Automated emphysema quantification on cardiac CT scans remains an area for methodological improvement.
Purpose of the Study:
- To extend a hidden Markov measure field (HMMF) model-based segmentation method for automated emphysema quantification on cardiac CT scans.
- To compare the HMMF-based method against thresholding techniques for emphysema segmentation reproducibility and consistency.
Main Methods:
- Implementation of a hidden Markov measure field (HMMF) model for automated segmentation of emphysema.
- Comparison of HMMF-based segmentation with various thresholding-based measurements.
- Evaluation of segmentation reproducibility on repeated cardiac scans and consistency between longitudinal cardiac and FL scans.
Main Results:
- The HMMF-based method demonstrated more reproducible emphysema segmentation on repeated cardiac scans compared to thresholding methods.
- Consistent measurements were observed between longitudinal cardiac and FL scans using the HMMF approach.
- The HMMF method proved effective across diverse scanner types and a large cohort of subjects and scans.
Conclusions:
- The HMMF-based segmentation method offers improved reproducibility and consistency for emphysema quantification on cardiac CT scans.
- This advanced method holds promise for population-based research and longitudinal studies utilizing cardiac imaging for lung health assessment.
