» Articles » PMID: 36425629

Retinal Oxygen Kinetics Imaging and Analysis (ROKIA) Based on the Integration and Fusion of Structural-functional Imaging

Overview
Specialty Radiology
Date 2022 Nov 25
PMID 36425629
Authors
Affiliations
Soon will be listed here.
Abstract

The retina is one of the most metabolically active tissues in the body. The dysfunction of oxygen kinetics in the retina is closely related to the disease and has important clinical value. Dynamic imaging and comprehensive analyses of oxygen kinetics in the retina depend on the fusion of structural and functional imaging and high spatiotemporal resolution. But it's currently not clinically available, particularly via a single imaging device. Therefore, this work aims to develop a retinal oxygen kinetics imaging and analysis (ROKIA) technology by integrating dual-wavelength imaging with laser speckle contrast imaging modalities, which achieves structural and functional analysis with high spatial resolution and dynamic measurement, taking both external and lumen vessel diameters into account. The ROKIA systematically evaluated eight vascular metrics, four blood flow metrics, and fifteen oxygenation metrics. The single device scheme overcomes the incompatibility of optical design, harmonizes the field of view and resolution of different modalities, and reduces the difficulty of registration and image processing algorithms. More importantly, many of the metrics (such as oxygen delivery, oxygen metabolism, vessel wall thickness, etc.) derived from the fusion of structural and functional information, are unique to ROKIA. The oxygen kinetic analysis technology proposed in this paper, to our knowledge, is the first demonstration of the vascular metrics, blood flow metrics, and oxygenation metrics via a single system, which will potentially become a powerful tool for disease diagnosis and clinical research.

Citing Articles

Relationship Between Axial Length and Retinal Oxygen Dynamics in Adults With Myopia.

Xiao G, Ge M, Qiao G, Liu S, Li N, Liu F Transl Vis Sci Technol. 2025; 14(1):18.

PMID: 39820286 PMC: 11753475. DOI: 10.1167/tvst.14.1.18.


Investigating ocular biomarkers and differential diagnosis of Alzheimer's disease and vascular cognitive impairment based on multimodal imaging.

Jin Z, Chen X, Jiang C, Feng X, Shang K, Li J J Biomed Opt. 2024; 29(12):126003.

PMID: 39735398 PMC: 11672116. DOI: 10.1117/1.JBO.29.12.126003.


Multimodal Eye Imaging, Retina Characteristics, and Psychological Assessment Dataset.

Zhang G, Qu Y, Zhang Y, Tang J, Wang C, Yin H Sci Data. 2024; 11(1):836.

PMID: 39095400 PMC: 11297319. DOI: 10.1038/s41597-024-03690-6.


Predicting ischemic stroke risk from atrial fibrillation based on multi-spectral fundus images using deep learning.

Li H, Gao M, Song H, Wu X, Li G, Cui Y Front Cardiovasc Med. 2023; 10:1185890.

PMID: 37600060 PMC: 10434281. DOI: 10.3389/fcvm.2023.1185890.

References
1.
Evangelidis G, Psarakis E . Parametric image alignment using enhanced correlation coefficient maximization. IEEE Trans Pattern Anal Mach Intell. 2008; 30(10):1858-65. DOI: 10.1109/TPAMI.2008.113. View

2.
Tayyari F, Khuu L, Flanagan J, Singer S, Brent M, Hudson C . Retinal Blood Flow and Retinal Blood Oxygen Saturation in Mild to Moderate Diabetic Retinopathy. Invest Ophthalmol Vis Sci. 2015; 56(11):6796-800. DOI: 10.1167/iovs.15-17481. View

3.
Hardarson S, Stefansson E . Retinal oxygen saturation is altered in diabetic retinopathy. Br J Ophthalmol. 2011; 96(4):560-3. DOI: 10.1136/bjophthalmol-2011-300640. View

4.
Yi J, Liu W, Chen S, Backman V, Sheibani N, Sorenson C . Visible light optical coherence tomography measures retinal oxygen metabolic response to systemic oxygenation. Light Sci Appl. 2015; 4(9). PMC: 4674267. DOI: 10.1038/lsa.2015.107. View

5.
Patel V, Rassam S, Newsom R, Wiek J, Kohner E . Retinal blood flow in diabetic retinopathy. BMJ. 1992; 305(6855):678-83. PMC: 1882919. DOI: 10.1136/bmj.305.6855.678. View