Fourier spectrum analysis of full-field optical coherence tomography for tissue imaging

Gao, Wanrong

doi:10.1098/rspa.2015.0099

Cited by 13 publications

(13 citation statements)

References 52 publications

(148 reference statements)

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“…For appropriately interpreting the OCT images in various approximated cases, the refractive index

n (\overset{r}{true}, k)

at any point

\overset{r}{true}

within tissue can be expressed as (Ishimaru, )

n (\vec{r}, k) = 〈n (\vec{r}, k)〉 (1 + n_{1} (\vec{r}, k)),

where

⟨ n false(\vec{r}, k false) ⟩

is the mean of the refractive index,

n_{1} false(\vec{r}, k false)

is the varying part of refractive index with position and also known as the normalised refractive index fluctuation. Note that the mean of the refractive index is also a function of position and describes the ‘static’ anatomic structures of tissue (Gao, , , ).…”

Section: Inverse Fourier Transform As An Integral For Tissue Structurmentioning

confidence: 99%

“…Equation simplifies to the commonly used theoretical model of the FDOCT (Häusler & Lindner, ; Schmitt et al . ; Gao, ; Gao, ):

i_{d} (k) = κ ρ a_{R} S^{((), i)} (k) \frac{1}{l^{2}} Re \{FT \{F (z)\}\},

where

FT {}

denotes the Fourier transform. In FDOCT, by performing the inverse Fourier transformation on both sides of Eq.…”

Section: Inverse Fourier Transform As An Integral For Tissue Structurmentioning

confidence: 99%

“…where n( r , k) is the mean of the refractive index, n 1 ( r , k) is the varying part of refractive index with position and also known as the normalised refractive index fluctuation. Note that the mean of the refractive index is also a function of position and describes the 'static' anatomic structures of tissue (Gao, 2010a(Gao, , 2012(Gao, , 2015.…”

Section: Inverse Fourier Transform As An Integral For Tissue Structurmentioning

confidence: 99%

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Differences between time domain and Fourier domain optical coherence tomography in imaging tissues

Gao

2017

Journal of Microscopy

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It has been numerously demonstrated that both time domain and Fourier domain optical coherence tomography (OCT) can generate high-resolution depth-resolved images of living tissues and cells. In this work, we compare the common points and differences between two methods when the continuous and random properties of live tissue are taken into account. It is found that when relationships that exist between the scattered light and tissue structures are taken into account, spectral interference measurements in Fourier domain OCT (FDOCT) is more advantageous than interference fringe envelope measurements in time domain OCT (TDOCT) in the cases where continuous property of tissue is taken into account. It is also demonstrated that when random property of tissue is taken into account FDOCT measures the Fourier transform of the spatial correlation function of the refractive index and speckle phenomena will limit the effective limiting imaging resolution in both TDOCT and FDOCT. Finally, the effective limiting resolution of both TDOCT and FDOCT are given which can be used to estimate the effective limiting resolution in various practical applications.

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“…For appropriately interpreting the OCT images in various approximated cases, the refractive index

n (\overset{r}{true}, k)

at any point

\overset{r}{true}

within tissue can be expressed as (Ishimaru, )

n (\vec{r}, k) = 〈n (\vec{r}, k)〉 (1 + n_{1} (\vec{r}, k)),

where

⟨ n false(\vec{r}, k false) ⟩

is the mean of the refractive index,

n_{1} false(\vec{r}, k false)

Section: Inverse Fourier Transform As An Integral For Tissue Structurmentioning

confidence: 99%

“…Equation simplifies to the commonly used theoretical model of the FDOCT (Häusler & Lindner, ; Schmitt et al . ; Gao, ; Gao, ):

i_{d} (k) = κ ρ a_{R} S^{((), i)} (k) \frac{1}{l^{2}} Re \{FT \{F (z)\}\},

where

FT {}

denotes the Fourier transform. In FDOCT, by performing the inverse Fourier transformation on both sides of Eq.…”

Section: Inverse Fourier Transform As An Integral For Tissue Structurmentioning

confidence: 99%

Section: Inverse Fourier Transform As An Integral For Tissue Structurmentioning

confidence: 99%

See 1 more Smart Citation

Differences between time domain and Fourier domain optical coherence tomography in imaging tissues

Gao

2017

Journal of Microscopy

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“…Full‐field optical coherence tomography (FFOCT) instruments can generate tomographic en‐face images of live tissues or tissue samples on the cellular and molecular scale (Beaureparie et al ., ; Dubois et al ., ; Labre et al ., ; Laude et al ., ; Akiba et al ., ; Dubois et al ., ; Moneron et al . ; Oh et al ., ; Sacchet et al ., ; Bonin et al ., ; Gao, ; Zhu et al ., ; Zhu & Gao, ; Gao, ; Zhu et al . ) and can be regarded as an alternative technique to conventional optical coherence tomography (OCT; Huang et al ., ; Lee et al ., ).…”

Section: Introductionmentioning

confidence: 99%

Image contrast reduction mechanism in full‐field optical coherence tomography

Gao

2015

Journal of Microscopy

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Correct interpretation of image contrast obtained with full-field optical coherence tomography (FFOCT) technique is required for accurate medical diagnosis applications. In this work, first, the characteristics of microscopic structures of tissue that generate the contrast in en-face tomographic image obtained with FFOCT are discussed. Then an overview is given of the parameters that affect image contrast. Finally, the contrast correction factor for correct image interpretation and the contrast limits to practical FFOCT systems are outlined.

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“…However, to see deep inside intact biological tissues, these light-based imaging modalities suffer from several challenges due to the high scattering and absorption of light [1,2]. But, statistical characteristics of scattering or attenuation En-face Tomographic Imaging of Scattering Objects coefficient of light can provide structural/morphological information at micrometer, or submicrometer resolution for disease diagnosis at the early phase [3]. Thus, imaging modalities which can explore this scattering of light as contrast for image reconstruction can provide information from deep depth of such specimens.…”

Section: Introductionmentioning

confidence: 99%

En-face Tomographic Imaging of Scattering Objects Using Single Broadband Light Emitting Diode Based Full-Field Optical Coherence Microscopy

Anna¹,

Chakraborty²,

Karmenyan³

et al. 2018

Sovrem Tehnol Med

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Structural and morphological elucidation of soft scattering objects such as biological tissues is an important aspect of study for the development of diagnostic tools. Optical methods suffer from the limitation of scattering and absorption of light in such kind of objects; limiting the applicability in deep tissue characterizations. In this present work, we used a high-resolution full-field optical coherence microscopy (FF-OCM) with a single broadband light emitting diode (470-850 nm) as illumination source for the imaging of scattering biological objects. The FF-OCM system was based on the Linnik geometry and a two-dimensional charge complementary oxide semiconductor camera (CMOS). The sequential two-dimensional spatial multiple phase-shifted interferograms were obtained by moving the sample stage using a piezoelectric transducer and the en-face FF-OCM images were subsequently reconstructed by a fast derivative-based method. The spatial resolution of the present system was 0.9 (air) and 1.38 µm axially and laterally, respectively.The present system was demonstrated for the imaging highly scattering artificial skin dressing, onion, and fish skin samples. Our results show the capability of the present system to clearly discern the structural features of the fish skin as evident from the depth intensity profiles at different positions. The present system is significantly stable, compact, and cost-effective with comparable spatial resolution compared to conventional FF-OCM systems and can be further used to distinguish a normal tissue from a diseased tissue.

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Fourier spectrum analysis of full-field optical coherence tomography for tissue imaging

Cited by 13 publications

References 52 publications

Differences between time domain and Fourier domain optical coherence tomography in imaging tissues

Differences between time domain and Fourier domain optical coherence tomography in imaging tissues

Image contrast reduction mechanism in full‐field optical coherence tomography

En-face Tomographic Imaging of Scattering Objects Using Single Broadband Light Emitting Diode Based Full-Field Optical Coherence Microscopy

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