R
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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Proceedings ArticleDOI
Characterization of the transport properties of dense scattering media on the basis of low-coherence interferometry
TL;DR: In this paper, low coherence techniques for characterization of the transport properties of dense scattering media are considered, based on optical coherence tomography performed in the A-scan mode and used to study the effects of dense packing and particle aggregation in dense layers of scattering particles.
Proceedings ArticleDOI
Ultra-fast one micron spectral domain ultra-high sensitive optical micro-angiography for in vivo visualization of ocular circulation of human retina and choroid
Lin An,Ruikang K. Wang +1 more
TL;DR: An ultra high speed (92 kHz A-line rate) one micron spectral domain ultra high sensitive optical microangiography system was demonstrated and successfully applied on posterior part of human eye for in vivo visualizing blood perfusions of both retina and choroid.
Proceedings ArticleDOI
In vivo optoretinography realized by raster-scan SS-OCT: A feasibility study
TL;DR: In this article , a method to visualize light-evoked retinal response using swept source optical coherence tomography (SS-OCT) was proposed to measure the optoretinography response in the retina.
Proceedings ArticleDOI
Spectral-domain optical coherence tomography-based angiography for scalable wide-field vascular imaging
TL;DR: A high-speed (147kHz), high sensitive (~105dB), long imaging depth (7mm) spectral-domain OCT-based angiography, which shows scalable ultra-wide field of view with flexible resolution for functional vascular imaging.
Proceedings ArticleDOI
R. K. Wang, I. A. Watson, C. R. Chatwin
TL;DR: The idea is to synthesize the SDF from the linear combination of a set of training images that are already filter modulated, so that the constructed SDF is dominated by the higher, not the lower, frequency components of the individual training-set image.