Development of an algorithm to automatically compress a CT image to visually lossless threshold-Reference-Cited by-同舟云学术

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Development of an algorithm to automatically compress a CT image to visually lossless threshold

Published:2018-12 Issue:1 Volume:18 Page:
ISSN:1471-2342
Container-title:BMC Medical Imaging
language:en
Short-container-title:BMC Med Imaging

Author:

Nam Chang-Mo,Lee Kyong Joon,Ko Yousun,Kim Kil Joong,Kim Bohyoung,Lee Kyoung Ho

Funder

Korea Health Industry Development Institute

Ministry of Health and Welfare

Seoul National University Bundang Hospital

Publisher

Springer Science and Business Media LLC

Subject

Radiology, Nuclear Medicine and imaging

Link

http://link.springer.com/content/pdf/10.1186/s12880-017-0244-2.pdf

Reference39 articles.

1. Koff D, Bak P, Brownrigg P, Hosseinzadeh D, Khademi A, Kiss A, Lepanto L, Michalak T, Shulman H, Volkening A. Pan-Canadian evaluation of irreversible compression ratios ("Lossy" compression) for development of national guidelines. J Digit Imaging. 2009;22:569–78.

2. Lee KH, Kim YH, Kim BH, Kim KJ, Kim TJ, Kim HJ, Hahn S. Irreversible JPEG 2000 compression of abdominal CT for primary interpretation: assessment of visually lossless threshold. Eur Radiol. 2007;17:1529–34.

3. Lee KH, Lee HJ, Kim JH, Kang HS, Lee KW, Hong H, Chin HJ, Ha KS. Managing the CT data explosion: initial experiences of archiving volumetric datasets in a mini-PACS. J Digit Imaging. 2005;18:188–95.

4. Rubin GD. Data explosion: the challenge of multidetector-row CT. Eur J Radiol. 2000;36:74–80.

5. Kim KJ, Kim B, Lee KH, Mantiuk R, Kang HS, Seo J, Kim SY, Kim YH. Objective index of image fidelity for JPEG2000 compressed body CT images. Med Phys. 2009;36:3218–26.

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1. Impact of lossy compression of X-ray projections onto reconstructed tomographic slices;Journal of Synchrotron Radiation;2020-07-28

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