May 2008
Volume 49, Issue 13
Free
ARVO Annual Meeting Abstract  |   May 2008
In vivo Human Retinal Blood Flow Quantification With Spectral Doppler Imaging of Fourier Domain Doppler Optical Coherence Tomography
Author Affiliations & Notes
  • B. Rao
    University of California, Irvine, Irvine, California
    Electrical Engineering & Computer Science,
    Biomedical Engineering, Beckman Laser Institute,
  • L. Yu
    University of California, Irvine, Irvine, California
    Biomedical Engineering, Beckman Laser Institute,
  • L. C. Zacharias
    University of California, Irvine, Irvine, California
    Ophthalmology,
  • Q. Wang
    University of California, Irvine, Irvine, California
    Biomedical Engineering, Beckman Laser Institute,
  • S. Pham
    University of California, Irvine, Irvine, California
    Biomedical Engineering, Beckman Laser Institute,
  • H. K. Chiang
    Institute of Biomedical Imaging, Yang-Ming University, Taipei, Taiwan
  • B. D. Kuppermann
    University of California, Irvine, Irvine, California
    Ophthalmology,
  • Z. Chen
    University of California, Irvine, Irvine, California
    Biomedical Engineering, Beckman Laser Institute,
  • Footnotes
    Commercial Relationships  B. Rao, None; L. Yu, None; L.C. Zacharias, None; Q. Wang, None; S. Pham, None; H.K. Chiang, None; B.D. Kuppermann, None; Z. Chen, None.
  • Footnotes
    Support  NIH (EB-00293, NCI-91717, RR-01192), Air Force Office of Science Research (FA9550-04-1-0101).
Investigative Ophthalmology & Visual Science May 2008, Vol.49, 4272. doi:
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      B. Rao, L. Yu, L. C. Zacharias, Q. Wang, S. Pham, H. K. Chiang, B. D. Kuppermann, Z. Chen; In vivo Human Retinal Blood Flow Quantification With Spectral Doppler Imaging of Fourier Domain Doppler Optical Coherence Tomography. Invest. Ophthalmol. Vis. Sci. 2008;49(13):4272.

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      © ARVO (1962-2015); The Authors (2016-present)

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Abstract
 
Purpose:
 

To demonstrate the quantification of in vivo human retinal blood flow with spectral Doppler imaging in a Fourier domain Doppler optical coherence tomography (FDODT) system.

 
Methods:
 

Simultaneous color Doppler and spectral Doppler imaging modalities were used to image retinal blood vessel of a normal patient. Repeated color Doppler scans were employed instead of an M-mode scan to improve the estimation of retinal flow dynamics and enhance laser safety. Spectral Doppler analysis was performed on the color Doppler data.

 
Results:
 

Spectral Doppler analysis of the continuous color Doppler images showed how the frequency components and flow-volume-rate changed over time for the scatters within the imaging volume with spectral Doppler waveforms. Maximum velocity envelope curves were derived from spectral Doppler waveforms and used to extract its corresponding pulsatility index, resistance index and several other indices. The indices might provide interpretable Doppler-angle-independent information to quantify temporal properties of retinal blood vessel in different conditions. Only the spectral Doppler waveforms are shown in Fig. 1 due to limited space.

 
Conclusions:
 

The spectral Doppler waveforms, along with flow-volume-rate related first momentum intensity plot, various velocity envelope curves, and quantitative Doppler-angle-independent blood flow indices, can be derived from spectral Doppler analysis of continuous in vivo color Doppler images of a human retinal vessel. The successful application of color Doppler and spectral Doppler imaging techniques in other parts of human body suggests that they have potential to become powerful clinical diagnosing tools in ophthalmology.  

 
Keywords: imaging methods (CT, FA, ICG, MRI, OCT, RTA, SLO, ultrasound) • optic flow • blood supply 
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