Emphysema Quantification on Cardiac CT Scans Using Hidden Markov Measure Field Model: The MESA Lung Study.
Emphysema Quantification on Cardiac CT Scans Using Hidden Markov Measure Field Model: The MESA Lung Study.
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使用隐马尔可夫测量场模型对心脏 CT 扫描进行肺气肿定量：MESA 肺研究。
DOI：
10.1007/978-3-319-46723-8_72
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发表时间：
2016
期刊：
影响因子：
--
通讯作者：
Laine,AndrewF
中科院分区：
文献类型：
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作者：
Yang,Jie;Angelini,ElsaD;Balte,PallaviP;Hoffman,EricA;Wu,ColinO;Venkatesh,BharathA;Barr,RGraham;Laine,AndrewF
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.
