scholarly journals Polarimetric Interferometric Synthetic Aperture Microscopy: Vectorial Computed Imaging from Optical Coherence Tomography Data

2007 ◽  
Author(s):  
Brynmor J. Davis ◽  
Tyler S. Ralston ◽  
Daniel L. Marks ◽  
Stephen A. Boppart ◽  
P. Scott Carney
Keyword(s):  
Optical Coherence Tomography ◽  
Synthetic Aperture ◽  
Optical Coherence ◽  
Synthetic Aperture Microscopy ◽  
Tomography Data

Nonparaxial vector-field modeling of optical coherence tomography and interferometric synthetic aperture microscopy

2007 ◽  
Vol 24 (9) ◽  
pp. 2527 ◽  
Author(s):  
Brynmor J. Davis ◽  
Simon C. Schlachter ◽  
Daniel L. Marks ◽  
Tyler S. Ralston ◽  
Stephen A. Boppart ◽  
...  
Keyword(s):  
Optical Coherence Tomography ◽  
Vector Field ◽  
Synthetic Aperture ◽  
Optical Coherence ◽  
Field Modeling ◽  
Synthetic Aperture Microscopy

scholarly journals Cross-validation of interferometric synthetic aperture microscopy and optical coherence tomography

2010 ◽  
Vol 35 (10) ◽  
pp. 1683 ◽  
Author(s):  
Tyler S. Ralston ◽  
Steven G. Adie ◽  
Daniel L. Marks ◽  
Stephen A. Boppart ◽  
P. Scott Carney
Keyword(s):  
Optical Coherence Tomography ◽  
Cross Validation ◽  
Synthetic Aperture ◽  
Optical Coherence ◽  
Synthetic Aperture Microscopy

Autocorrelation artifacts in optical coherence tomography and interferometric synthetic aperture microscopy

2007 ◽  
Vol 32 (11) ◽  
pp. 1441 ◽  
Author(s):  
Brynmor J. Davis ◽  
Tyler S. Ralston ◽  
Daniel L. Marks ◽  
Stephen A. Boppart ◽  
P. Scott Carney
Keyword(s):  
Optical Coherence Tomography ◽  
Synthetic Aperture ◽  
Optical Coherence ◽  
Synthetic Aperture Microscopy

scholarly journals Combination of 2D Compressive Sensing Spectral Domain Optical Coherence Tomography and Interferometric Synthetic Aperture Microscopy

2019 ◽  
Vol 9 (19) ◽  
pp. 4003
Author(s):  
Luying Yi ◽  
Liqun Sun ◽  
Xiangyu Guo ◽  
Bo Hou
Keyword(s):  
Optical Coherence Tomography ◽  
Compressive Sensing ◽  
Spectral Data ◽  
Reconstruction Algorithm ◽  
Spectral Domain ◽  
Synthetic Aperture ◽  
Lateral Resolution ◽  
Optical Coherence ◽  
Synthetic Aperture Microscopy ◽  
Oct Image

Combining the advantages of compressive sensing spectral domain optical coherence tomography (CS-SDOCT) and interferometric synthetic aperture microscopy (ISAM) in terms of data volume, imaging speed, and lateral resolution, we demonstrated how compressive sampling and ISAM can be simultaneously used to reconstruct an optical coherence tomography (OCT) image. Specifically, an OCT image is reconstructed from two-dimensional (2D) under-sampled spectral data dimension-by-dimension through a CS reconstruction algorithm. During the iterative process of CS algorithm, the deterioration of lateral resolution beyond the depth of focus (DOF) of a Gaussian beam is corrected. In the end, with less spectral data, we can obtain an OCT image with spatially invariant lateral resolution throughout the imaging depth. This method was verified in this paper by imaging the cells of an orange. A 0.7 × 1.5 mm image of an orange was reconstructed using only 50% × 50% spectral data, in which the dispersion of the structure was decreased by approximately 2.4 times at a depth of approximately 5.7 Rayleigh ranges above the focus. This result was consistent with that obtained with 100% data.

SDOCT IMAGE RECONSTRUCTION BY INTERFEROMETRIC SYNTHETIC APERTURE MICROSCOPY

2010 ◽  
Vol 03 (01) ◽  
pp. 17-23 ◽  
Author(s):  
XIAODONG CHEN ◽  
QIAO LI ◽  
YONG LEI ◽  
YI WANG ◽  
DAOYIN YU
Keyword(s):  
Optical Coherence Tomography ◽  
Imaging Technique ◽  
Biological Tissues ◽  
Synthetic Aperture ◽  
Optical Coherence ◽  
Cross Sectional ◽  
Cross Sectional Imaging ◽  
Transverse Resolution ◽  
Model Inverse ◽  
Synthetic Aperture Microscopy

Spectral domain optical coherence tomography (SDOCT) is a noninvasive, cross-sectional imaging technique that measures depth resolved reflectance of tissue by Fourier transforming the spectral interferogram with the scanning of the reference avoided. Interferometric synthetic aperture microscopy (ISAM) is an optical microscopy computed-imaging technique for measuring the optical properties of biological tissues, which can overcome the compromise between depth of focus and transverse resolution. This paper describes the principle of SDOCT and ISAM, which multiplexes raw acquisitions to provide quantitatively meaningful data with reliable spatially invariant resolution at all depths. A mathematical model for a coherent microscope with a planar scanning geometry and spectral detection was described. The two-dimensional fast Fourier transform (FFT) of spectral data in the transverse directions was calculated. Then the nonuniform ISAM resampling and filtering was implemented to yield the scattering potential within the scalar model. Inverse FFT was used to obtain the ISAM reconstruction. One scatterer, multiple scatterers, and noisy simulations were implemented by use of ISAM to catch spatially invariant resolution. ISAM images were compared to those obtained using standard optical coherence tomography (OCT) methods. The high quality of the results validates the rationality of the founded model and that diffraction limited resolution can be achieved outside the focal plane.

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