Full-field optical coherence tomography in a balanced detection mode

Buchroithner, Boris; Prylepa, Andrii; Wagner, Paul J; Schausberger, Stefan E.; Stifter, David; Heise, Bettina

doi:10.1364/ao.57.008705

Cited by 3 publications

(5 citation statements)

References 38 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The light emitted from a continuous light source illuminates the mirror in the reference arm and the sample in the sample arm respectively, and then their respective reflected light enters the MZ interferometer, which contains a spatial splitting unit that directs both field components, spatially divided and phase-shifted to the detection camera. Thus, two phase-opposed images be delivered simultaneously [27]. The phase-shifting concept could be affected seriously by the background.…”

Section: Dual-balanced Ffoctmentioning

confidence: 99%

“…This kernel is convolved (⊗) I D , which yields two equations I Q1 (x, y) = κ 1 (x, y) ⊗ I D (x, y) and I Q2 (x, y) = κ 2 (x, y) ⊗ I D (x, y). Then we can build a two-dimension monogenic signal aca992 which is described by [27,31]…”

Section: Dual-balanced Ffoctmentioning

confidence: 99%

“…In order to make ptychography better dealing with motion-distorted images, we propose an improved EPIE (IEPIE) algorithm which adds a motion suppression process. And the motion blur suppression algorithm we used in this article is the classic TV minimization [27,39]. When we continuously acquire all the sub-images in region of interest, we can use iterative engine to recover all the areas from these sub-images.…”

Section: Ptychographymentioning

confidence: 99%

“…So, in this paper we choose a non-polarized optical system. It uses double-balance detection technology, which can truly achieve FF-OCT image reconstruction in a single-shot [27] and reduce motion artifacts introduced by multiple phase-shifting shots resulting in longer time intervals. Total variation (TV) minimization is utilized to maintain edge sharpness [28].…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Time domain ptychographic full field optical coherence tomography

Li¹,

Bai²,

Yang³

et al. 2023

Laser Phys. Lett.

View full text Add to dashboard Cite

Full field optical coherence tomography (FF-OCT) has the advantage of ultrahigh lateral resolution (∼1 µm) resulting from a relatively high numerical aperture (NA) micro objective. However, usually the field of view of micro objective is limited. Furthermore, in vivo imaging, significant motion artifacts limit the performance of traditional FF-OCT where the quality of the restored image is generally degraded due to the influence of motion artifacts. In this paper, we propose a method of edge-preserving ptychography based on dual-balanced time domain FF-OCT, which we can call it time-domain ptychography full field optical coherence tomography (TD-POCT). The method combines the advantages of both ptychography and dual-balanced FF-OCT, which can overcome the limitation of the field for view of micro objective and suppresses motion blur. Moreover, this method can recover not only the amplitude of each layer, but also the phase information. So in addition to tomography, the system can also be used for surface 3D object reconstruction. Numerical simulation verifies that both the horizontal and vertical resolution can reach a few microns.

show abstract

Section: Dual-balanced Ffoctmentioning

confidence: 99%

Section: Dual-balanced Ffoctmentioning

confidence: 99%

Section: Ptychographymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Time domain ptychographic full field optical coherence tomography

Li¹,

Bai²,

Yang³

et al. 2023

Laser Phys. Lett.

View full text Add to dashboard Cite

show abstract

“…The quantitative measurements of the DL method showed an improvement in the mean signal-to-noise ratio, mean contrast-to-noise ratio, and mean structural similarity index. In addition, the DL method was used to extract capillarylevel angiograms from a single OCT volume [14] and detect retinal nerve fiber layer segmentation errors on SD-OCT [15]. Further DL role in medical imaging was showed in [16] for automated age-related macular degeneration (AMD) detection by utilizing support vector machine (SVM), AlexNet, GoogLeNet, and Inception-ResNet for AMD detection while a block-matching and 3-Dimension filter (BM3DF), a hybrid median filter (HMF), and an adaptive wiener filter (AWF) were used to denoise the OCT images.…”

Section: Introductionmentioning

confidence: 99%

Applying a Pix2Pix Generative Adversarial Network to a Fourier-Domain Optical Coherence Tomography System for Artifact Elimination

2021

View full text Add to dashboard Cite

The presence of artifacts, including conjugate, DC, and auto-correlation artifacts, is a critical limitation of Fourier-domain optical coherence tomography (FD-OCT). Many methods have been proposed to resolve this problem to obtain high-quality images. Furthermore, the development of deep learning has resulted in many prospective advancements in the medical field; image-to-image translation by using generative adversarial networks (GANs) is one such advancement. In this study, we propose applying the Pix2Pix GAN to eliminate artifacts from FD-OCT images. The first experiment results showed that the proposed framework could translate conventional FD-OCT depth profiles into artifact-free FD-OCT depth profiles. In addition, the FD-OCT depth profile and optical distance of translated images matched those of ground truth images. Second experiment verified that the proposed GAN-based FD-OCT can be applied to generate artifact-free FD-OCT image with different parameters of sample refractive index, the front surface of the sample toward the zero-delay position, and the physical thickness of the sample. Third experiment proved that the proposed model could translated the conventional FD-OCT depth profiles with additional Gaussian noises source image into artifacts-free FD-OCT and successfully relieved the noise.INDEX TERMS Artifacts, FD-OCT, image-to-image translation, Pix2Pix GAN the FD-OCT system is more sensitive around the zero-delay line, imaging is performed by positioning the zero-delay line at the region of interest in a sample to obtain double-depth range images. Sanjay et al.[1] used spectral-domain OCT (SD-OCT) to examine patients diagnosed as having glaucoma and reported that 15.2%-36% of scans showed artifacts that may cause difficulty to physicians in the analysis of images. A study identified various types of artifacts that can lead to an incorrect diagnosis [2]. Because artifacts can obscure imaging results and prevent the detection of critical features in a sample structure, full-range FD-OCT is commonly implemented using phase shifting to reconstruct the sample structure and overcome this complex artifact problem. Full-range FD-OCT images are obtained by recording several interferograms with different phase relations. Jiewen et al. [3] proposed a five-frame variable phase-shifting (FVP) method to reduce the effects of polychromatic errors. Compared with the traditional five-

show abstract

Single-shot wavelength-independent phase-shifting method for full-field optical coherence tomography

Zhu

Gao

2019

Appl. Opt.

View full text Add to dashboard Cite

Full-field optical coherence tomography in a balanced detection mode

Cited by 3 publications

References 38 publications

Time domain ptychographic full field optical coherence tomography

Time domain ptychographic full field optical coherence tomography

Applying a Pix2Pix Generative Adversarial Network to a Fourier-Domain Optical Coherence Tomography System for Artifact Elimination

Single-shot wavelength-independent phase-shifting method for full-field optical coherence tomography

Contact Info

Product

Resources

About