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Ruikang K. Wang

Researcher at University of Washington

Publications -  816
Citations -  23936

Ruikang K. Wang is an academic researcher from University of Washington. The author has contributed to research in topics: Optical coherence tomography & Microangiography. The author has an hindex of 73, co-authored 764 publications receiving 20026 citations. Previous affiliations of Ruikang K. Wang include University of Miami & University of Washington Medical Center.

Papers
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Shear wave elastography using amplitude-modulated acoustic radiation force and phase-sensitive optical coherence tomography.

TL;DR: The feasibility of performing shear wave elastography measurements in tissue-mimicking phantoms at low US pressures is demonstrated, and the proposed acoustic radiation force to remotely induce shear waves by focusing an ultrasound (US) beam in tissue, similar to severalElastography techniques is proposed.
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Minimal basilar membrane motion in low-frequency hearing

TL;DR: It is shown that low-frequency sound moves a small portion of the basilar membrane, and that the motion declines in an exponential manner across the basiliar membrane, Hence, the response of the hearing organ to speech-frequency sounds is different from the one evident in high-frequency cochlear regions.
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Optical coherence tomography angiography-based capillary velocimetry.

TL;DR: A useful approach to statistically estimate the mean capillary flow velocity using a model-based statistical method of eigendecomposition (ED) analysis of the complex OCT signals obtained with the OCT angiography (OCTA) scanning protocol is proposed.
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Microvascular imaging of the skin

TL;DR: In this review article, a number of imaging techniques are summarized that have been utilized to investigate the microvasculature of skin, along with their advantages, disadvantages and future perspectives in preclinical and clinical settings.
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Fourier domain optical coherence tomography achieves full range complex imaging in vivo by introducing a carrier frequency during scanning.

TL;DR: It is shown that the Hilbert transformation approach delivers better performance than the Fourier filtering method does in terms of tolerating the sample movement in vivo.