2021
DOI: 10.1142/s1793545821300019
|View full text |Cite
|
Sign up to set email alerts
|

ID-OCTA: OCT angiography based on inverse SNR and decorrelation features

Abstract: Optical coherence tomography angiography (OCTA) takes the flowing red blood cells (RBCs) as intrinsic contrast agents, enabling fast and three-dimensional visualization of vasculature perfusion down to capillary level, without a requirement of exogenous fluorescent injection. Various motion-contrast OCTA algorithms have been proposed to effectively extract dynamic blood flow from static tissues utilizing the different components of OCT signals (including amplitude, phase and complex) with various operations (s… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

0
3
0

Year Published

2021
2021
2023
2023

Publication Types

Select...
4
1
1

Relationship

1
5

Authors

Journals

citations
Cited by 15 publications
(3 citation statements)
references
References 79 publications
0
3
0
Order By: Relevance
“…The inverse process of the proposed PRSMC method can be used for motion estimation via optimization, and the measurement accuracy can be improved by eliminating the phase error introduced by the change of local speckle patterns. In OCTA, complex-value-based algorithms possess higher motion contrast, but their performance is susceptible to phase error due to bulk motion [44, 45], which can be well suppressed with the PRSMC method. Furthermore, our proposed approach may also be beneficial for complex-value-based averaging techniques [46] and computational adaptive optics (such as numerical refocusing [27] and aberration correction [47, 48]), where the phase stability is crucial for their implementation.…”
Section: Discussionmentioning
confidence: 99%
“…The inverse process of the proposed PRSMC method can be used for motion estimation via optimization, and the measurement accuracy can be improved by eliminating the phase error introduced by the change of local speckle patterns. In OCTA, complex-value-based algorithms possess higher motion contrast, but their performance is susceptible to phase error due to bulk motion [44, 45], which can be well suppressed with the PRSMC method. Furthermore, our proposed approach may also be beneficial for complex-value-based averaging techniques [46] and computational adaptive optics (such as numerical refocusing [27] and aberration correction [47, 48]), where the phase stability is crucial for their implementation.…”
Section: Discussionmentioning
confidence: 99%
“…The mathematical expression of the classifier infers that a larger kernel size improves the performance of the classifier by decreasing the distribution std in the IDa space. However, enlarging the spatial kernel degrades the spatial resolution, while enlarging the temporal kernel increases the imaging time (37). Therefore, an appropriate kernel size should be selected by trading off between the classification accuracy, spatial resolution, and imaging time.…”
Section: Ida-octa Algorithmmentioning
confidence: 99%
“…Optical coherence tomography (OCT) [12][13][14] is a noninvasive, interferometric imaging modality that enables in vivo volumetric imaging of the anterior [15] and posterior segments [16] of the eye. Based on the principle that stationary tissue usually produces a nearly constant reflection or scattering, whereas blood cells produce OCT signals that change over time, the OCT-based angiography (OCTA) method has been developed to provide rapid and depth-resolved visualization of tissue microvasculature (such as micro-scale capillaries or microaneurysms) using the motion contrast between two or more consecutive OCT B-scans at the same position with a delay of milliseconds [17][18][19][20][21][22]. OCTA was initially used to assess posterior ocular diseases associated with vasculatures in the retina, choroid, and optical nerve head [16,[23][24][25], and it was very recently applied to evaluate anterior-segment vasculature imaging [26,27].…”
Section: Introductionmentioning
confidence: 99%