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

Authors :
Yang J
Angelini ED
Balte PP
Hoffman EA
Wu CO
Venkatesh BA
Barr RG
Laine AF
Source :
Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention [Med Image Comput Comput Assist Interv] 2016 Oct; Vol. 9901, pp. 624-631. Date of Electronic Publication: 2016 Oct 02.
Publication Year :
2016

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.

Details

Language :
English
Volume :
9901
Database :
MEDLINE
Journal :
Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention
Publication Type :
Academic Journal
Accession number :
28845485
Full Text :
https://doi.org/10.1007/978-3-319-46723-8_72