| Literature DB >> 28845485 |
Jie Yang1, Elsa D Angelini1, Pallavi P Balte2, Eric A Hoffman3,4, Colin O Wu5, Bharath A Venkatesh6, R Graham Barr2,7, Andrew F Laine1.
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.Entities:
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Year: 2016 PMID: 28845485 PMCID: PMC5569897 DOI: 10.1007/978-3-319-46723-8_72
Source DB: PubMed Journal: Med Image Comput Comput Assist Interv