Hyperspectral imaging in the spatial frequency domain with a supercontinuum source

Torabzadeh, Mohammad; Stockton, Patrick A.; Kennedy, Gordon T.; Saager, Rolf B.; Durkin, Anthony J.; Bartels, Randy A.; Tromberg, Bruce J.

doi:10.1117/1.jbo.24.7.071614

Cited by 19 publications

(10 citation statements)

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“…According to the number of filters, multiple images at different wavelengths could be measured. Another approach is to use a tunable light source implemented by exploiting a thin-film tunable filter [25], acoustic optic tunable filter (AOTF) [26], and monochromator [27,28]. A tunable light source could adjust a wavelength of illumination light with spectral resolution between a few and tens of nanometers.…”

Section: Spectral Scanning Hsi Methodsmentioning

confidence: 99%

Hyperspectral Imaging for Clinical Applications

Yoon

2022

BioChip J

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Measuring morphological and biochemical features of tissue is crucial for disease diagnosis and surgical guidance, providing clinically significant information related to pathophysiology. Hyperspectral imaging (HSI) techniques obtain both spatial and spectral features of tissue without labeling molecules such as fluorescent dyes, which provides rich information for improved disease diagnosis and treatment. Recent advances in HSI systems have demonstrated its potential for clinical applications, especially in disease diagnosis and image-guided surgery. This review summarizes the basic principle of HSI and optical systems, deep-learning-based image analysis, and clinical applications of HSI to provide insight into this rapidly growing field of research. In addition, the challenges facing the clinical implementation of HSI techniques are discussed.

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Section: Spectral Scanning Hsi Methodsmentioning

confidence: 99%

Hyperspectral Imaging for Clinical Applications

Yoon

2022

BioChip J

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“…However, the system developed thus far was based on conventional broadband sources coupled with tunable filters, which limited their acquisition speed and spectral resolution. Torabzadeh and colleagues [82] applied this technique using the principles of the single-pixel compressive sensing. They used a commercial SCL coupled with a dispersive prism to achieve a final bandwidth 1000 spectral bands between 580 and 950 nm, which was larger than the previously developed systems.…”

Section: Novel Instrument Developementmentioning

confidence: 99%

The Use of Supercontinuum Laser Sources in Biomedical Diffuse Optics: Unlocking the Power of Multispectral Imaging

2021

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Optical techniques based on diffuse optics have been around for decades now and are making their way into the day-to-day medical applications. Even though the physics foundations of these techniques have been known for many years, practical implementation of these technique were hindered by technological limitations, mainly from the light sources and/or detection electronics. In the past 20 years, the developments of supercontinuum laser (SCL) enabled to unlock some of these limitations, enabling the development of system and methodologies relevant for medical use, notably in terms of spectral monitoring. In this review, we focus on the use of SCL in biomedical diffuse optics, from instrumentation and methods developments to their use for medical applications. A total of 95 publications were identified, from 1993 to 2021. We discuss the advantages of the SCL to cover a large spectral bandwidth with a high spectral power and fast switching against the disadvantages of cost, bulkiness, and long warm up times. Finally, we summarize the utility of using such light sources in the development and application of diffuse optics in biomedical sciences and clinical applications.

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“… 14 , 15 A number of solutions to improve the spectral sensitivity of the SFDI system have been proposed. However, these involve building customized light sources 16 – 18 or using multispectral cameras/color filters. 7 , 19 , 20 A different kind of approach is provided by a technique called spatial frequency domain spectroscopy (SFDS), where the imaging system is replaced by a spectrometer, providing very high spectral resolution at the cost of a greatly reduced FOV and spatial resolution.…”

Section: Introductionmentioning

confidence: 99%

Handheld multispectral imager for quantitative skin assessment in low-resource settings

et al. 2020

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Significance: Spatial frequency domain imaging (SFDI) is a quantitative imaging method to measure absorption and scattering of tissue, from which several chromophore concentrations (e.g., oxy-/deoxy-/meth-hemoglobin, melanin, and carotenoids) can be calculated. Employing a method to extract additional spectral bands from RGB components (that we named crosschannels), we designed a handheld SFDI device to account for these pigments, using low-cost, consumer-grade components for its implementation and characterization. Aim: With only three broad spectral bands (red, green, blue, or RGB), consumer-grade devices are often too limited. We present a methodology to increase the number of spectral bands in SFDI devices that use RGB components without hardware modification. Approach: We developed a compact low-cost RGB spectral imager using a color CMOS camera and LED-based mini projector. The components' spectral properties were characterized and additional cross-channel bands were calculated. An alternative characterization procedure was also developed that makes use of low-cost equipment, and its results were compared. The device performance was evaluated by measurements on tissue-simulating optical phantoms and in-vivo tissue. The measurements were compared with another quantitative spectroscopy method: spatial frequency domain spectroscopy (SFDS). Results: Out of six possible cross-channel bands, two were evaluated to be suitable for our application and were fully characterized (520 AE 20 nm; 556 AE 18 nm). The other four crosschannels presented a too low signal-to-noise ratio for this implementation. In estimating the optical properties of optical phantoms, the SFDI data have a strong linear correlation with the SFDS data (R 2 ¼ 0.987, RMSE ¼ 0.006 for μ a , R 2 ¼ 0.994, RMSE ¼ 0.078 for μ 0 s). Conclusions: We extracted two additional spectral bands from a commercial RGB system at no cost. There was good agreement between our device and the research-grade SFDS system. The alternative characterization procedure we have presented allowed us to measure the spectral features of the system with an accuracy comparable to standard laboratory equipment.

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Hyperspectral imaging in the spatial frequency domain with a supercontinuum source

Cited by 19 publications

References 50 publications

Hyperspectral Imaging for Clinical Applications

Hyperspectral Imaging for Clinical Applications

The Use of Supercontinuum Laser Sources in Biomedical Diffuse Optics: Unlocking the Power of Multispectral Imaging

Handheld multispectral imager for quantitative skin assessment in low-resource settings

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