NDLI: In vivo volumetric blood flow imaging using optical microangiography at capillary level resolution

Content Provider	IEEE Xplore Digital Library
Author	Wang, Ruikang K.
Copyright Year	2008
Description	Author affiliation: Oregon Health & Science University, Department of Biomedical Engineering, SW Bond Avenue, Portland, 97239 USA (Wang, Ruikang K.)
Abstract	Optical micro-angiography (OMAG) [1,2,3] is a recently developed imaging method, capable of resolving 3D distribution of dynamic blood perfusion at the capillary level within microcirculatory beds in vivo. The imaging contrast of blood perfusion is based on the endogenous light scattering from the moving blood cells within biological tissue; thus no exogenous contrasting agents are necessary. This is achieved by efficient separation of the moving scattering elements from the static scattering ones within tissue through the OMAG hardware associated with mathematical analysis of the optical scattering signals from an illuminated sample. Its development has its origin in the Fourier domain optical coherence tomography (FDOCT) [4]. The original development of OMAG was performed by introducing a constant frequency modulation ƒM into the time-varying spectral interferograms at the time when the probing beam is scanned over the sample. The introduction of ƒM in the interferograms was achieved by linear translation of the reference mirror in the interferometer, synchronized with the OCT cross-sectional (B scan) imaging. This makes it possible to separate the light scattering signals backscattered from the moving particles, such as moving blood cells, from those backscattered from the static particles, such as bulk tissue, leading to high resolution mapping of dynamic blood perfusion down to capillary levels within thick tissue sample in vivo. In essence, the OMAG method maps the scattering signals from the moving particles into one image, i.e. flow image, and from the static particles into a second image, i.e. microstructural image.
Starting Page	804
Ending Page	804
File Size	129106
Page Count	1
File Format	PDF
ISBN	9781424418145
ISSN	1557170X
DOI	10.1109/IEMBS.2008.4649275
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-08-20
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
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