Two-layer spatial frequency domain imaging of compression-induced hemodynamic changes in breast tissue

Robbins, Constance M.; Tabassum, Syeda; Baumhauer, Molly F.; Yang, Jason; Antaki, James F.; Kainerstorfer, Jana M.

doi:10.1117/1.jbo.26.5.056005

Cited by 3 publications

(2 citation statements)

References 39 publications

(76 reference statements)

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“…Some studies have developed forward transport models for multiple layers tissues based on the diffusion equation or Monte–Carlo (MC) simulation and have used a lookup table (LUT) method to reconstruct the OPs. 9 – 13 The accuracy of the reconstructed multi-layer OPs, however, is limited by the sampling density in the precomputed dataset. More densely sampled data sets increase memory usage and slow computation.…”

Section: Introductionmentioning

confidence: 99%

Deep-learning approach to stratified reconstructions of tissue absorption and scattering in time-domain spatial frequency domain imaging

Zhang,

Bai,

Dong

et al. 2024

J. Biomed. Opt.

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The conventional optical properties (OPs) reconstruction in spatial frequency domain (SFD) imaging, like the lookup table (LUT) method, causes OPs aliasing and yields only average OPs without depth resolution. Integrating SFD imaging with time-resolved (TR) measurements enhances space-TR information, enabling improved reconstruction of absorption (μ a ) and reduced scattering (μ 0 s ) coefficients at various depths.Aim: To achieve the stratified reconstruction of OPs and the separation between μ a and μ 0 s , using deep learning workflow based on the temporal and spatial information provided by time-domain SFD imaging technique, while enhancing the reconstruction accuracy.Approach: Two data processing methods are employed for the OPs reconstruction with TR-SFD imaging, one is full TR data, and the other is the featured data extracted from the full TR data (E , continuous-wave component, ht i, mean time of flight). We compared their performance using a series of simulation and phantom validations.Results: Compared to the LUT approach, utilizing full TR, E and ht i datasets yield high-resolution OPs reconstruction results. Among the three datasets employed, full TR demonstrates the optimal accuracy. Conclusions: Utilizing the data obtained from SFD and TR measurement techniques allows for achieving high-resolution separation reconstruction of μ a and μ 0 s at different depths within 5 mm.

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Section: Introductionmentioning

confidence: 99%

Deep-learning approach to stratified reconstructions of tissue absorption and scattering in time-domain spatial frequency domain imaging

Zhang,

Bai,

Dong

et al. 2024

J. Biomed. Opt.

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show abstract

“…Approaches to improve the optical penetration depth of NIRS have been reported before. For example, work on breast cancer detection has utilized anatomical reconstruction based on many source and detector combinations (called diffuse optical tomography), benefited from a cylindrical shape of the target tissue 16 or compression of the tissue 17 – 19 to overcome penetration depth challenges. In transabdominal fetal pulse-oximetry, large source–detector separations in combination with higher light intensities are utilized, as well as more sensitive detectors and advanced signal processing 20 …”

Section: Introductionmentioning

confidence: 99%

Evaluating feasibility of functional near-infrared spectroscopy in dolphins

et al. 2023

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Using functional near-infrared spectroscopy (fNIRS) in bottlenose dolphins (Tursiops truncatus) could help to understand how echolocating animals perceive their environment and how they focus on specific auditory objects, such as fish, in noisy marine settings.Aim: To test the feasibility of near-infrared spectroscopy (NIRS) in medium-sized marine mammals, such as dolphins, we modeled the light propagation with computational tools to determine the wavelengths, optode locations, and separation distances that maximize sensitivity to brain tissue.Approach: Using frequency-domain NIRS, we measured the absorption and reduced scattering coefficient of dolphin sculp. We assigned muscle, bone, and brain optical properties from the literature and modeled light propagation in a spatially accurate and biologically relevant model of a dolphin head, using finite-element modeling. We assessed tissue sensitivities for a range of wavelengths (600 to 1700 nm), source-detector distances (50 to 120 mm), and animal sizes (juvenile model 25% smaller than adult). Results:We found that the wavelengths most suitable for imaging the brain fell into two ranges: 700 to 900 nm and 1100 to 1150 nm. The optimal location for brain sensing positioned the center point between source and detector 30 to 50 mm caudal of the blowhole and at an angle 45 deg to 90 deg lateral off the midsagittal plane. Brain tissue sensitivity comparable to human measurements appears achievable only for smaller animals, such as juvenile bottlenose dolphins or smaller species of cetaceans, such as porpoises, or with source-detector separations ≫100 mm in adult dolphins.Conclusions: Brain measurements in juvenile or subadult dolphins, or smaller dolphin species, may be possible using specialized fNIRS devices that support optode separations of >100 mm. We speculate that many measurement repetitions will be required to overcome hemodynamic signals originating predominantly from the muscle layer above the skull. NIRS measurements of muscle tissue are feasible today with source-detector separations of 50 mm, or even less.

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Wavelength and frequency optimization in spatial frequency domain imaging for two-layer tissue

Wang

Zhang

et al. 2022

Biomed. Opt. Express

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Spatial frequency domain imaging is a non-contact, wide-field, fast-diffusion optical imaging technique, which in principle uses steady-state spatially modulated light to irradiate biological tissue, reconstruct two-dimensional or three-dimensional tissue optical characteristic map through optical transmission model, and further quantify the spatial distribution of tissue physiological parameters by multispectral imaging technique. The selection of light source wavelength and light field spatial modulation frequency is directly related to the accuracy of tissue optical properties and tissue physiological parameters extraction. For improvement of the measurement accuracy of optical properties and physiological parameters in the two-layer tissue, a multispectral spatial frequency domain imaging system is built based on liquid crystal tunable filter, and a data mapping table of spatially resolved diffuse reflectance and optical properties of two-layer tissue is established based on scaling Monte Carlo method. Combined with the dispersion effect and window effect of light-tissue interaction, the study applies numerical simulation to optimize the wavelength in the 650-850 nm range with spectral resolution of 10 nm. In order to minimize the uncertainty of the optical properties, Cramér-Rao bound is used to optimize the optical field spatial modulation frequency by transmitting the uncertainty of optical properties. The results showed that in order to realize the detection of melanin, oxyhemoglobin, deoxyhemoglobin, water and other physiological parameters in two-layer tissue, the best wavelength combination was determined as 720, 730, 760 and 810 nm according to the condition number. The findings of the Cramér-Rao bound analysis reveal that the uncertainty of optical characteristics for the frequency combinations [0, 0.3] mm-1, [0, 0.2] mm-1, and [0, 0.1] mm-1 increases successively. Under the optimal combination of wavelength and frequency, the diffuse reflectance of the gradient gray-scale plate measured by the multi-spectral spatial frequency domain imaging system is linearly correlated with the calibration value. The error between the measured liquid phantom absorption coefficient and the collimation projection system based on colorimetric dish is less than 2%. The experimental results of human brachial artery occlusion indicate that under the optimal wavelength combination, the change of the second layer absorption coefficient captured by the three frequency combinations decreases in turn, so as the change of oxygen saturation.

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Two-layer spatial frequency domain imaging of compression-induced hemodynamic changes in breast tissue

Cited by 3 publications

References 39 publications

Deep-learning approach to stratified reconstructions of tissue absorption and scattering in time-domain spatial frequency domain imaging

Deep-learning approach to stratified reconstructions of tissue absorption and scattering in time-domain spatial frequency domain imaging

Evaluating feasibility of functional near-infrared spectroscopy in dolphins

Wavelength and frequency optimization in spatial frequency domain imaging for two-layer tissue

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