Normalizing computed tomography data reconstructed with different filter kernels: effect on emphysema quantification-Reference-Cited by-同舟云学术

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Normalizing computed tomography data reconstructed with different filter kernels: effect on emphysema quantification

Published:2015-05-23 Issue:2 Volume:26 Page:478-486
ISSN:0938-7994
Container-title:European Radiology
language:en
Short-container-title:Eur Radiol

Author:

Gallardo-Estrella Leticia,Lynch David A.,Prokop Mathias,Stinson Douglas,Zach Jordan,Judy Philip F.,van Ginneken Bram,van Rikxoort Eva M.

Publisher

Springer Science and Business Media LLC

Subject

Radiology Nuclear Medicine and imaging,General Medicine

Link

http://link.springer.com/article/10.1007/s00330-015-3824-y/fulltext.html

Reference21 articles.

1. Rabe KF, Hurd S, Anzueto A et al (2007) Global strategy for the diagnosis, management, and prevention of chronic obstructive pulmonary disease: Gold executive summary. Am J Respir Crit Care Med 176:532–555

2. Hoffman EA, Simon BA, McLennan G (2006) State of the art. A structural and functional assessment of the lung via multidetector-row computed tomography: phenotyping chronic obstructive pulmonary disease. Proc Am Thorac Soc 3:519–532

3. Müller NL, Staples CA, Miller RR, Abboud RT (1988) Density mask. An objective method to quantitate emphysema using computed tomography. Chest 94:782–787

4. Bankier AA, De Maertelaer V, Keyzer C, Gevenois PA (1999) Pulmonary emphysema: subjective visual grading versus objective quantification with macroscopic morphometry and thin-section CT densitometry. Radiology 211:851–858

5. Stolk J, Stoel BC (2011) Lung densitometry to assess progression of emphysema in chronic obstructive pulmonary disease: time to apply in the clinic? Am J Respir Crit Care Med 183:1578–1580

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