Quantitative spatial frequency fluorescence imaging in the sub-diffusive domain for image-guided glioma resection

Sibai, Mira; Veilleux, Israël; Elliott, Jonathan T.; Leblond, Frédéric; Wilson, Brian C.

doi:10.1364/boe.6.004923

Cited by 24 publications

(29 citation statements)

References 19 publications

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“…While the current processing time to invert diffuse reflectance maps to optical properties is typically on the order of 1 second, we recently demonstrated that this inversion time could be reduced significantly to approximately 10 ms [31]. Altogether this work lays the foundation of real-time quantitative optical imaging through an endoscope and its clinical translation, potentially enabling endoscopic implementation of current quantitative, widefield techniques [32][33][34].…”

Section: Discussionmentioning

confidence: 85%

Real-time endoscopic optical properties imaging

Angelo¹,

Giessen²,

Gioux³

2017

Biomed. Opt. Express

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Abstract:With almost 50% of all surgeries in the U.S. being performed as minimally invasive procedures, there is a need to develop quantitative endoscopic imaging techniques to aid surgical guidance. Recent developments in widefield optical imaging make endoscopic implementations of real-time measurement possible. In this work, we introduce a proof-ofconcept endoscopic implementation of a functional widefield imaging technique called 3D single snapshot of optical properties (3D-SSOP) that provides quantitative maps of absorption and reduced scattering optical properties as well as surface topography with simple instrumentation added to a commercial endoscope. The system's precision and accuracy is validated using tissue-mimicking phantoms, showing a max error of 0.004 mm −1 , 0.05 mm −1 , and 1.1 mm for absorption, reduced scattering, and sample topography, respectively. This study further demonstrates video acquisition of a moving phantom and an in vivo sample with a framerate of approximately 11 frames per second.

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Section: Discussionmentioning

confidence: 85%

Real-time endoscopic optical properties imaging

Angelo¹,

Giessen²,

Gioux³

2017

Biomed. Opt. Express

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“…Some examples include: using cooled high-dynamic range frame-transfer cameras for rapid and low-signal imaging, using both tunable light sources and hyperspectral cameras for spectral multiplexing, using multiple polarizer orientations to combine with polarization imaging, using commercial projectors to reduce costs, integrating SFDI within existing medical instruments such as surgical microscopes or endoscopes, and using coherent sources to get flow data from speckle. These systems are a combination of benchtop imaging systems with some being transportable to preclinical or clinical sites, 12,[17][18][19][20][21][22][23][24][25] as well as improved methods for robust measurement during clinical conditions [motion correction and three-dimensional (3-D) correction]. 26,27…”

Section: Instrumentationmentioning

confidence: 99%

“…71,72 The concept of using optical properties map from SFDI to quantify fluorescence signals in a co-registered image was introduced early and recently gained interest in the field of fluorescence-guided surgery. 23,73,74 This concept in principle allows quantitative fluorescence, at a subsurface level, to be performed rapidly. Quantitative fluorescence means absolute numbers can be attributed to signal for diagnostic purposes.…”

Section: Sfdi and Fluorescencementioning

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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Quantitative spatial frequency fluorescence imaging in the sub-diffusive domain for image-guided glioma resection

Cited by 24 publications

References 19 publications

Real-time endoscopic optical properties imaging

Real-time endoscopic optical properties 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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