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

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.

[1]  D. Sin,et al.  COPD: Do Imaging Measurements of Emphysema and Airway Disease Explain Symptoms and Exercise Capacity? , 2015, Radiology.

[2]  Elsa D. Angelini,et al.  Equating emphysema scores and segmentations across CT reconstructions: A comparison study , 2015, 2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI).

[3]  Philip F. Judy,et al.  Normalizing computed tomography data reconstructed with different filter kernels: effect on emphysema quantification , 2015, European Radiology.

[4]  Mark W. Woolrich,et al.  Advances in functional and structural MR image analysis and implementation as FSL , 2004, NeuroImage.

[5]  Steven Shea,et al.  Association Between Emphysema-like Lung on Cardiac Computed Tomography and Mortality in Persons Without Airflow Obstruction , 2014, Annals of Internal Medicine.

[6]  Eric A. Hoffman,et al.  Adaptive Quantification and Longitudinal Analysis of Pulmonary Emphysema With a Hidden Markov Measure Field Model , 2014, IEEE Transactions on Medical Imaging.

[7]  Moyses Szklo,et al.  Coronary calcium as a predictor of coronary events in four racial or ethnic groups. , 2008, The New England journal of medicine.

[8]  T. Pilgram,et al.  Equating quantitative emphysema measurements on different CT image reconstructions. , 2011, Medical physics.

[9]  Michael A. Brooks,et al.  Reproducibility and validity of lung density measures from cardiac CT Scans--The Multi-Ethnic Study of Atherosclerosis (MESA) Lung Study. , 2009, Academic radiology.

[10]  Eric A Hoffman,et al.  Variation in the percent of emphysema-like lung in a healthy, nonsmoking multiethnic sample. The MESA lung study. , 2014, Annals of the American Thoracic Society.

[11]  Bram van Ginneken,et al.  Local noise weighted filtering for emphysema scoring of low-dose CT images , 2006, IEEE Transactions on Medical Imaging.

[12]  R. Kronmal,et al.  Multi-Ethnic Study of Atherosclerosis: objectives and design. , 2002, American journal of epidemiology.

[13]  Eric A. Hoffman,et al.  Percent emphysema, airflow obstruction, and impaired left ventricular filling. , 2010, The New England journal of medicine.

[14]  B. van Ginneken,et al.  Quantitative Computed Tomography in COPD: Possibilities and Limitations , 2011, Lung.

[15]  Joon Beom Seo,et al.  Improved Correlation Between CT Emphysema Quantification And Pulmonary Function Test By Density Correction Of Volumetric CT Data Based On Air And Aortic Density , 2011, ATS 2011.