Jones matrix‐based speckle‐decorrelation angiography using polarization‐sensitive optical coherence tomography

Gong, Peijun; Li, Qingyun; Wang, Qiang; Karnowski, Karol; Sampson, David D.

doi:10.1002/jbio.202000007

Cited by 13 publications

(8 citation statements)

References 43 publications

(108 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The performance of OCTAVA was further evaluated using several other published OCTA MIP images of skin and retina [ 56 – 58 ]. The results are presented in Fig 7 .…”

Section: Resultsmentioning

confidence: 99%

“…The image is 6.8 mm × 6.8 mm, and the MIP spans an axial range of 600 μm. Image reprinted with permission from [ 56 ]. Middle row: OCTA MIP image of mouse ear skin acquired with Telesto OCT system.…”

Section: Resultsmentioning

confidence: 99%

“…As well, to demonstrate the utility of the software in various types of OCTA images, we have used OCTA (MIP) images from several previously published works. These include: OCTA images of human skin collected with a laboratory-based polarization-sensitive OCT system [ 56 ], OCTA images of mouse ear skin acquired with the Telesto spectral-domain OCT system ( Thorlabs , Newton, NJ, USA) [ 57 ], and images of the human retina obtained using the RTVue XR Avanti ( Optovue , Inc ., Fremont, CA, USA) [ 58 ].…”

Section: Methodsmentioning

confidence: 99%

See 2 more Smart Citations

OCTAVA: An open-source toolbox for quantitative analysis of optical coherence tomography angiography images

et al. 2021

Self Cite

View full text Add to dashboard Cite

Optical coherence tomography angiography (OCTA) performs non-invasive visualization and characterization of microvasculature in research and clinical applications mainly in ophthalmology and dermatology. A wide variety of instruments, imaging protocols, processing methods and metrics have been used to describe the microvasculature, such that comparing different study outcomes is currently not feasible. With the goal of contributing to standardization of OCTA data analysis, we report a user-friendly, open-source toolbox, OCTAVA (OCTA Vascular Analyzer), to automate the pre-processing, segmentation, and quantitative analysis of en face OCTA maximum intensity projection images in a standardized workflow. We present each analysis step, including optimization of filtering and choice of segmentation algorithm, and definition of metrics. We perform quantitative analysis of OCTA images from different commercial and non-commercial instruments and samples and show OCTAVA can accurately and reproducibly determine metrics for characterization of microvasculature. Wide adoption could enable studies and aggregation of data on a scale sufficient to develop reliable microvascular biomarkers for early detection, and to guide treatment, of microvascular disease.

show abstract

“…The performance of OCTAVA was further evaluated using several other published OCTA MIP images of skin and retina [ 56 – 58 ]. The results are presented in Fig 7 .…”

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

OCTAVA: An open-source toolbox for quantitative analysis of optical coherence tomography angiography images

et al. 2021

Self Cite

View full text Add to dashboard Cite

show abstract

“…Other experimental imaging techniques that have begun to make headway in multimodal research include polarization-sensitive OCT, photothermal OCT, and optical coherence elastography, which, when combined with more standard techniques, have been shown to allow for the differentiation between depolarizing and birefringent tissue (491,492), establishment of molecular contrast (493)(494)(495)(496), and biomechanical assessment of tissue, respectively (497,498).…”

Section: Oct Technologymentioning

confidence: 99%

The Development and Clinical Application of Innovative Optical Ophthalmic Imaging Techniques

et al. 2022

View full text Add to dashboard Cite

The field of ophthalmic imaging has grown substantially over the last years. Massive improvements in image processing and computer hardware have allowed the emergence of multiple imaging techniques of the eye that can transform patient care. The purpose of this review is to describe the most recent advances in eye imaging and explain how new technologies and imaging methods can be utilized in a clinical setting. The introduction of optical coherence tomography (OCT) was a revolution in eye imaging and has since become the standard of care for a plethora of conditions. Its most recent iterations, OCT angiography, and visible light OCT, as well as imaging modalities, such as fluorescent lifetime imaging ophthalmoscopy, would allow a more thorough evaluation of patients and provide additional information on disease processes. Toward that goal, the application of adaptive optics (AO) and full-field scanning to a variety of eye imaging techniques has further allowed the histologic study of single cells in the retina and anterior segment. Toward the goal of remote eye care and more accessible eye imaging, methods such as handheld OCT devices and imaging through smartphones, have emerged. Finally, incorporating artificial intelligence (AI) in eye images has the potential to become a new milestone for eye imaging while also contributing in social aspects of eye care.

show abstract

“…The feasibility of the proposed angiographic method is also demonstrated for human skin imaging with an advanced Jones-matrix swept-source OCT imaging system. It has been concluded that the use of polarization-based angiography has advantages over conventional OCTA by improving vessel contrast and increasing image signal [36], [37].…”

Section: Introductionmentioning

confidence: 99%

Complex Correlated Phase Gradient Variance Based Optical Coherence Tomography Angiography

Chen

Wang

2023

IEEE Photonics J.

View full text Add to dashboard Cite

In this study, we reported a complex-signal-based optical coherence tomography angiography (OCTA) method, called complex correlated phase gradient variance (CCPGV), for mapping high-quality microvascular images. The performance of the newly proposed algorithm is benchmarked against the previously reported phase-resolved Doppler variance, complex differential variance (CDV), and split-spectrum amplitude and phase-gradient angiography (SSAPGA), by both tissue phantoms experiments and in vivo human skin measurements. Compared to the phase-resolved Doppler variance, CCPGV can intrinsically reject undesirable phase shifts caused by bulk motion and trigger jitter. In contrast to CDV and SSAPGA, which are insensitive to phase instability, CCPGV can provide superior motion contrast, as demonstrated by ∼1.4 and 3 times higher contrast in phantom experiments respectively. An increase of 27.3% and 106.3% were found in vivo experiments for CCPGV, making it easier to distinguish vessels from the background static. Benefiting from the advantages, more vessels and better connectivity can be visualized in the en-face angiogram processed by the CCPGV method. We believe that our method will benefit the biomedical community to some extent in disease diagnosis and monitoring.

show abstract

Jones matrix‐based speckle‐decorrelation angiography using polarization‐sensitive optical coherence tomography

Cited by 13 publications

References 43 publications

OCTAVA: An open-source toolbox for quantitative analysis of optical coherence tomography angiography images

OCTAVA: An open-source toolbox for quantitative analysis of optical coherence tomography angiography images

The Development and Clinical Application of Innovative Optical Ophthalmic Imaging Techniques

Complex Correlated Phase Gradient Variance Based Optical Coherence Tomography Angiography

Contact Info

Product

Resources

About