A consistency evaluation of signal-to-noise ratio in the quality assessment of human brain magnetic resonance images-Reference-Cited by-同舟云学术

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A consistency evaluation of signal-to-noise ratio in the quality assessment of human brain magnetic resonance images

Published:2018-05-16 Issue:1 Volume:18 Page:
ISSN:1471-2342
Container-title:BMC Medical Imaging
language:en
Short-container-title:BMC Med Imaging

Author:

Yu Shaode,Dai Guangzhe,Wang Zhaoyang,Li Leida,Wei Xinhua,Xie Yaoqin

Funder

National Key Research Program of China

Production, Study and Research Project of Guangdong Province

Technological Breakthrough Project of Shenzhen City

Publisher

Springer Science and Business Media LLC

Subject

Radiology, Nuclear Medicine and imaging

Link

http://link.springer.com/content/pdf/10.1186/s12880-018-0256-6.pdf

Reference52 articles.

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2. Ahmad M, Bazalova-Carter M, Fahrig R, Xing L. Optimized detector angular configuration increases the sensitivity of x-ray fluorescence computed tomography (XFCT). IEEE Trans Med Imaging. 2015;34(5):1140–7.

3. Zhang Z, Yu S, Liang X, Zhu Y, Xie Y. A novel design of ultrafast micro-CT system based on carbon nanotube: a feasibility study in phantom. Phys Med. 2016;32(10):1302–7.

4. Razaak M, Martini MG, Savino K. A study on quality assessment for medical ultrasound video compressed via HEVC. IEEE J Biomed Health Inform. 2014;18(5):1552–9.

5. Zhang L, Cavaro-M’enard C, Le Callet P, Ge D. A multi-slice model observer for medical image quality assessment. IEEE ICASSP. 2015;1:1667–71.

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