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

Authors: Yang, Jie; Angelini, Elsa D; Balte, Pallavi P; Hoffman, Eric A; Wu, Colin O; Venkatesh, Bharath A; Barr, R Graham; Laine, Andrew F

Published In Med Image Comput Comput Assist Interv, (2016 Oct)

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.

PubMed ID: 28845485 Exiting the NIEHS site

MeSH Terms: No MeSH terms associated with this publication

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