Semi-automated Segmentation of Lungs Using the k-means Method in Cine MRI
Author:
Affiliation:
1. Department of Radiological Technology, Soka Municipal Hospital
2. Department of Respirology, Chiba University Graduate School of Medicine
3. Department of Respirology, Shin-Yurigaoka General Hospital
Publisher
Japanese Society of Radiological Technology
Subject
General Medicine
Link
https://www.jstage.jst.go.jp/article/jjrt/77/11/77_2021_JSRT_77.11.1298/_pdf
Reference22 articles.
1. 1) Lozano R, Naghavi M, Foreman K, et al. Global and regional mortality from 235 causes of death for 20 age groups in 1990 and 2010: a systematic analysis for the Global Burden of Disease Study 2010. Lancet 2012; 380(9859): 2095-2128.
2. 2) Global Initiative for Chronic Obstructive Lung Disease. Global Strategy for Diagnosis, Management, and Prevention of Chronic Obstructive Lung Disease 2019. https://goldcopd.org/wp-content/uploads/2018/11/GOLD-2019-v1.5-FINAL-04Nov2018_WMS.pdf (accessed 17 February 2020).
3. 3) Fukuchi Y, Nishimura M, Ichinose M, et al. COPD in Japan: the Nippon COPD epidemiology study. Respirology 2004; 9(4): 458-465.
4. 4) Matsuoka S, Washko GR, Yamashiro T, et al. Pulmonary hypertension and computed tomography measurement of small pulmonary vessels in severe emphysema. Am J Respir Crit Care Med 2010; 181(3): 218-225.
5. 5) Tanabe N, Muro S, Hirai T, et al. Impact of exacerbations on emphysema progression in chronic obstructive pulmonary disease. Am J Respir Crit Care Med 2011; 183(12): 1653-1659.
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1. Semiautomatic assessment of respiratory dynamics using cine MRI in chronic obstructive pulmonary disease;European Journal of Radiology Open;2022
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