Acta Optica Sinica, Volume. 39, Issue 9, 0917002(2019)

Slow Blood Flow Detection Based on Red Blood Cell Characteristic Volume Model Matching

Ming Chen, Junyi Xu, Zhishan Gao, Dan Zhu, and Qun Yuan*
Author Affiliations
  • School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing, Jiangsu 210094, China
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    References(20)

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    [8] Callahan M J. MacDougall R D, Bixby S D, et al. Ionizing radiation from computed tomography versus anesthesia for magnetic resonance imaging in infants and children: patient safety considerations[J]. Pediatric Radiology, 48, 21-30(2018).

    [10] Morales-Vargas E, Sosa-Martinez J, Peregrina-Barreto H et al. A morphological approach for locating blood vessels in laser contrast speckle imaging. [C]∥2018 IEEE International Instrumentation and Measurement Technology Conference (I2MTC), May 14-17, 2018, Houston, TX, USA. New York: IEEE, 17917126(2018).

    [14] Zhao P J. Study on the three-dimensional particle tracking velocimetry based on the defocusing microscopic image[D]. Hangzhou: China Jiliang University, 19-22(2016).

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    Ming Chen, Junyi Xu, Zhishan Gao, Dan Zhu, Qun Yuan. Slow Blood Flow Detection Based on Red Blood Cell Characteristic Volume Model Matching[J]. Acta Optica Sinica, 2019, 39(9): 0917002

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    Paper Information

    Category: Medical Optics and Biotechnology

    Received: Mar. 5, 2019

    Accepted: May. 21, 2019

    Published Online: Sep. 9, 2019

    The Author Email: Yuan Qun (yuanqun@njust.edu.cn)

    DOI:10.3788/AOS201939.0917002

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