Real-time endoscopic optical properties imaging

Angelo, Joseph; Giessen, Martijn van de; Gioux, Sylvain

doi:10.1364/boe.8.005113

Cited by 41 publications

(35 citation statements)

References 32 publications

(44 reference statements)

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“…This could be done by incorporating SFDI systems into an open surgical procedure or by modifying endoscopy systems to achieve optical property measurements. Recent work has shown progress in implementing real‐time SFDI in a rigid endoscope and in a flexible endoscope . While these studies are only proofs of concept, they demonstrate feasibility of adapting SFDI for endoscopic assessment of optical properties and improved management of esophageal abnormalities.…”

Section: Discussionmentioning

confidence: 99%

“…Furthermore, SFDI has been implemented to assess the presence of carcinomas in human colon tissue, proposing the applicability of SFDI in providing diagnostic information in GI tissue . Angelo et al has demonstrated proof‐of‐concept of real‐time SFDI endoscopy, but have yet to image human esophagus tissue . While NBI enhances superficial contrast by using lower wavelengths, SFDI can tune sampling depth, δ' eff , based on the projected spatial frequency, f x , and optical properties through the equation

{δˊ}_{eff} bold= {[\sqrt{bold3 μ_{a} ((), μ_{a} bold-italic+ {bold-italicμ}_{bold-italics}^{'}) bold-italic+ {(2 π {bold-italicf}_{bold-italicx})}^{2}}]}^{bold-italic- bold1}

.…”

Section: Introductionmentioning

confidence: 99%

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Wide‐field optical property mapping and structured light imaging of the esophagus with spatial frequency domain imaging

Sweer

Chen

Salimian

et al. 2019

Journal of Biophotonics

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As the incidence of esophageal adenocarcinoma continues to rise, there is a need for improved imaging technologies with contrast to abnormal esophageal tissues. To inform the design of optical technologies that meet this need, we characterize the spatial distribution of the scattering and absorption properties from 471 to 851 nm of eight resected human esophagi tissues using Spatial Frequency Domain Imaging. Histopathology was used to categorize tissue types, including normal, inflammation, fibrotic, ulceration, Barrett's Esophagus and squamous cell carcinoma. Average absorption and reduced scattering coefficients of normal tissues were 0.211 ± 0.051 and 1.20 ± 0.18 mm−1, respectively at 471 nm, and both values decreased monotonically with increasing wavelength. Fibrotic tissue exhibited at least 68% larger scattering signal across all wavelengths, while squamous cell carcinoma exhibited a 36% decrease in scattering at 471 nm. We additionally image the esophagus with high spatial frequencies up to 0.5 mm−1 and show strong reflectance contrast to tissue treated with radiation. Lastly, we observe that esophageal absorption and scattering values change by an average of 9.4% and 2.7% respectively over a 30 minute duration post‐resection. These results may guide system design for the diagnosis, prevention and monitoring of esophageal pathologies.

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Section: Discussionmentioning

confidence: 99%

{δˊ}_{eff} bold= {[\sqrt{bold3 μ_{a} ((), μ_{a} bold-italic+ {bold-italicμ}_{bold-italics}^{'}) bold-italic+ {(2 π {bold-italicf}_{bold-italicx})}^{2}}]}^{bold-italic- bold1}

.…”

Section: Introductionmentioning

confidence: 99%

Wide‐field optical property mapping and structured light imaging of the esophagus with spatial frequency domain imaging

Sweer

Chen

Salimian

et al. 2019

Journal of Biophotonics

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“…15 Figure 4(e) (left, assembled and right, open) presents an endoscope configuration exploiting specifically real-time acquisition and processing advancements using single snapshot of optical properties (SSOP) developed at the University of Strasbourg, France. 16 These hardware advancements enable advanced intraoperative clinical acquisition in endoscopic applications where an open-field is not accessible. Finally, various other custom systems have been described by research groups around the world.…”

Section: Instrumentationmentioning

confidence: 99%

“…Multispatial frequency processing codes were developed to take into account this effect in cases where divergence is significant, such as within an endoscope. 16,40 Finally, many other sources of errors such as camera linearity, projection linearity, and source stability, as in any optical design should be taken into account, either by calibration or monitoring and/or appropriate analytic or empirical corrections. 41,42 One aspect that should not be neglected is the quality of the projection and acquisition, and the resulting demodulation as this will have a direct influence onto the precision and accuracy of the measurement.…”

Section: Key Considerationsmentioning

confidence: 99%

Spatial frequency domain imaging in 2019: principles, applications, and perspectives

2019

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Spatial frequency domain imaging (SFDI) has witnessed very rapid growth over the last decade, owing to its unique capabilities for imaging optical properties and chromophores over a large field-of-view and in a rapid manner. We provide a comprehensive review of the principles of this imaging method as of 2019, review the modeling of light propagation in this domain, describe acquisition methods, provide an understanding of the various implementations and their practical limitations, and finally review applications that have been published in the literature. Importantly, we also introduce a group effort by several key actors in the field for the dissemination of SFDI, including publications, advice in hardware and implementations, and processing code, all freely available online.

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“…[1][2][3][4][5][6] Some medical fields in particular, such as surgery, are driving this need for realtime interpretable information content to aid decision-making in a time-constrained environment. [7][8][9][10][11][12] Several solutions have been investigated to fulfill this need, each with their pros and cons, ranging from raster scanning of microscopic information to wide-field acquisitions of diffused information. 13,14 For instance, fluorescence imaging to help surgeons visualizing structures of interest, such as lymph nodes, ureters, or micrometastasis, stands as an example where providing tissue-related information in real time plays a key role in clinical adoption.…”

Section: Introductionmentioning

confidence: 99%

Single snapshot of optical properties image quality improvement using anisotropic two-dimensional windows filtering

et al. 2019

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Enagnon Aguénounon, Foudil Dadouche, Wilfried Uhring, Sylvain Gioux, "Single snapshot of optical properties image quality improvement using anisotropic two-dimensional windows filtering," J.Abstract. Imaging methods permitting real-time, wide-field, and quantitative optical mapping of biological tissue properties offer an unprecedented range of applications for clinical use. Following the development of spatial frequency domain imaging, we introduce a real-time demodulation method called single snapshot of optical properties (SSOPs). However, since this method uses only a single image to generate absorption and reduced scattering maps, it was limited by a degraded image quality resulting in artifacts that diminished its potential for clinical use. We present filtering strategies for improving the image quality of optical properties maps obtained using SSOPs. We investigate the effect of anisotropic two-dimensional filtering strategies for spatial frequencies ranging from 0.1 to 0.4 mm −1 directly onto N ¼ 10 hands. Both accuracy and image quality of the optical properties are quantified in comparison with standard, multiple image acquisitions in the spatial frequency domain. Overall, using optimized filters, mean errors in predicting optical properties using SSOP remain under 8.8% in absorption and 7.5% in reduced scattering, while significantly improving image quality. Overall this work contributes to advance real-time, wide-field, and quantitative diffuse optical imaging toward clinical evaluation.

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Real-time endoscopic optical properties imaging

Cited by 41 publications

References 32 publications

Wide‐field optical property mapping and structured light imaging of the esophagus with spatial frequency domain imaging

Wide‐field optical property mapping and structured light imaging of the esophagus with spatial frequency domain imaging

Spatial frequency domain imaging in 2019: principles, applications, and perspectives

Single snapshot of optical properties image quality improvement using anisotropic two-dimensional windows filtering

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