July 2018
Volume 59, Issue 9
Open Access
ARVO Annual Meeting Abstract  |   July 2018
Non-invasive, non-mydriatic imaging of retinal blood flow over multiple fields of view
Author Affiliations & Notes
  • Abhishek Rege
    Vasoptic Medical Inc, Baltimore, Maryland, United States
  • Yusi Liu
    Vasoptic Medical Inc, Baltimore, Maryland, United States
  • Yici Jing
    Vasoptic Medical Inc, Baltimore, Maryland, United States
  • Jonathan Howarth
    Vasoptic Medical Inc, Baltimore, Maryland, United States
  • Osamah Saeedi
    Department of Ophthalmology and Visual Sciences, University of Maryland Baltimore, Baltimore, Maryland, United States
  • Footnotes
    Commercial Relationships   Abhishek Rege, Vasoptic Medical Inc (I), Vasoptic Medical Inc (E), Vasoptic Medical Inc (P); Yusi Liu, Vasoptic Medical Inc (I), Vasoptic Medical Inc (E), Vasoptic Medical Inc (P); Yici Jing, Vasoptic Medical Inc (E); Jonathan Howarth, Vasoptic Medical Inc (E); Osamah Saeedi, Heidelberg Engineering (F), Vasoptic Medical Inc (F)
  • Footnotes
    Support  NIH Grant 2R44AG048758-03
Investigative Ophthalmology & Visual Science July 2018, Vol.59, 5878. doi:https://doi.org/
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    • Get Citation

      Abhishek Rege, Yusi Liu, Yici Jing, Jonathan Howarth, Osamah Saeedi; Non-invasive, non-mydriatic imaging of retinal blood flow over multiple fields of view. Invest. Ophthalmol. Vis. Sci. 2018;59(9):5878. doi: https://doi.org/.

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

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Purpose : Imaging of specific regions of the retina is often required for disease diagnostics. For example, based on the Early Treatment for Diabetic Retinopathy Study (ETDRS) guidelines, diagnosis of diabetic retinopathy has relied on fundus photography of seven standard 30 degree fields of view (FOVs). Here, we demonstrate the ability of the XyCAM ID, a novel speckle-based retinal imaging investigational device to reliably, noninvasively, and non-mydriatically capture multi-field retinal blood flow velocity (BFV) information.

Methods : The XyCAM ID was mounted on a slit lamp base and used to acquire speckle images from the right eye of two healthy individuals (authors) through self-experimentation. Multiple imaging sessions were conducted in quick succession to capture retinal BFV data from each of seven ETDRS FOVs. The requisite FOV was achieved by adjusting the position of the target on which the subject was required to focus during imaging. Each imaging session comprised of serial acquisition of speckle images at a frame rate of 128 Hz for a period of 3 seconds. The acquired speckle images were processed in sliding batches of 11 frames each to obtain maps of retinal BFV. A time-stack of BFV images from one diastole to the next diastole (in the cardiac cycle) was isolated for each FOV and aligned spatially to manually generate a mosaic of retinal BFV over a wider field. Two distinct vessel regions and one tissue region in each area of overlap between a pair of FOVs were assessed to infer the robustness of BFV measurements in the mosaic.

Results : Fig. 1A and 1B show exemplary mosaics of BFV maps of multiple retinal FOVs during the cardiac systole and diastole respectively. During the multi-field image acquisition, the cardiac pulse waveform exhibited a consistent duration (coefficient of variation of 3.37%) and a consistent shape when normalized to the peak BFV fluctuations and the duration (Fig. 1C). The mean relative error in BFV measurements in distinguishable retinal vessels and background tissue perfusion regions within the area of overlap of the multi-field images is 9.54% ± 4.98% and 10.92% ± 4.57% respectively (Fig. 2).

Conclusions : Preliminary results from our investigation validate the ability of the XyCAM ID to sequentially obtain and reliably aggregate blood flow information from multiple regions of the retina, permitting generation of wide area maps of retinal blood flow for assessment.

This is an abstract that was submitted for the 2018 ARVO Annual Meeting, held in Honolulu, Hawaii, April 29 - May 3, 2018.




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