Halftone spatial frequency domain imaging enables kilohertz high-speed label-free non-contact quantitative mapping of optical properties for strongly turbid media

Yanyu Zhao; Bowen Song; Ming Wang; Yang Zhao; Yubo Fan

doi:10.1038/s41377-021-00681-9

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Halftone spatial frequency domain imaging enables kilohertz high-speed label-free non-contact quantitative mapping of optical properties for strongly turbid media

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- Halftone spatial frequency domain imaging enables kilohertz high-speed label-free non-contact quantitative mapping of optical properties for strongly turbid media
- Light: Science & Applications Vol. 10, Issue 12, Pages: 2518-2530(2021)
- Affiliations：
  
  1.Beijing Advanced Innovation Center for Biomedical Engineering, Key Laboratory for Biomechanics and Mechanobiology of Ministry of Education, School of Engineering Medicine, and with the School of Biological Science and Medical Engineering, Beihang University, 100191 Beijing, China
  2.Institute of Spacecraft Application System Engineering, China Academy of Space Technology, 100094 Beijing, China
  3.Beijing Institute of Spacecraft Engineering, 100094 Beijing, China
- Author bio：
  
  Yanyu Zhao (yanyuzhao@buaa.edu.cn)
  Yubo Fan (yubofan@buaa.edu.cn)
- Funds：
- DOI：10.1038/s41377-021-00681-9
  CLC：
- Published：31 December 2021，
  
  Published Online：09 December 2021，
  
  Received：30 April 2021，
  
  Revised：28 October 2021，
  
  Accepted：23 November 2021
- Accepted：
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Zhao, Y. Y. et al. Halftone spatial frequency domain imaging enables kilohertz high-speed label-free non-contact quantitative mapping of optical properties for strongly turbid media. Light: Science & Applications, 10, 2518-2530 (2021).
DOI：

Zhao, Y. Y. et al. Halftone spatial frequency domain imaging enables kilohertz high-speed label-free non-contact quantitative mapping of optical properties for strongly turbid media. Light: Science & Applications, 10, 2518-2530 (2021). DOI： 10.1038/s41377-021-00681-9.

摘要

Abstract

The ability to quantify optical properties (i.e.

absorption and scattering) of strongly turbid media has major implications on the characterization of biological tissues

fluid fields

and many others. However

there are few methods that can provide wide-field quantification of optical properties

and none is able to perform quantitative optical property imaging with high-speed (e.g.

kilohertz) capabilities. Here we develop a new imaging modality termed halftone spatial frequency domain imaging (halftone-SFDI)

which is approximately two orders of magnitude faster than the state-of-the-art

and provides kilohertz high-speed

label-free

non-contact

wide-field quantification for the optical properties of strongly turbid media. This method utilizes halftone binary patterned illumination to target the spatial frequency response of turbid media

which is then mapped to optical properties using model-based analysis. We validate the halftone-SFDI on an array of phantoms with a wide range of optical properties as well as in vivo human tissue. We demonstrate with an in vivo rat brain cortex imaging study

and show that halftone-SFDI can longitudinally monitor the absolute concentration as well as spatial distribution of functional chromophores in tissue. We also show that halftone-SFDI can spatially map dual-wavelength optical properties of a highly dynamic flow field at kilohertz speed. Together

these results highlight the potential of halftone-SFDI to enable new capabilities in fundamental research and translational studies including brain science and fluid dynamics.

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references

Eggebrecht, A. T. et al. Mapping distributed brain function and networks with diffuse optical tomography.Nat. Photonics8, 448–454 (2014)..

Zhao, Y. Y. et al. Shortwave-infrared meso-patterned imaging enables label-free mapping of tissue water and lipid content.Nat. Commun.11, 5355 (2021)..

Thomas, L. M. et al. Five kHz thermometry in turbulent spray flames using chirped-probe pulse femtosecond CARS, part I: processing and interference analysis.Combust. Flame200, 405–416 (2019)..

Leung, H. M.&Gmitro, A. F. Fluorescence and reflectance spectral imaging system for a murine mammary window chamber model.Biomed. Opt. Express6, 2887–2894 (2015)..

Bigio, I. J.&Fantini, S.Quantitative Biomedical Optics: Theory, Methods, and Applications(Cambridge University Press, 2016).

Fuster, J. J. et al. Obesity-induced changes in adipose tissue microenvironment and their impact on cardiovascular disease.Circulation Res.118, 1786–1807 (2016)..

Cho, S.&Atwood, J. E. Peripheral edema.Am. J. Med.113, 580–586 (2002)..

Diskin, C. J. et al. Towards an understanding of oedema.BMJ318, 1610–1613 (1999)..

Cypess, A. M.&Kahn, C. R. Brown fat as a therapy for obesity and diabetes.Curr. Opin. Endocrinol., Diabetes Obes.17, 143–149 (2010)..

Brownrigg, J. R. W., Schaper, N. C.&Hinchliffe, R. J. Diagnosis and assessment of peripheral arterial disease in the diabetic foot.Diabet. Med.32, 738–747 (2015)..

Menezes, G. L. et al. Magnetic resonance imaging in breast cancer: a literature review and future perspectives.World J. Clin. Oncol.5, 61–70 (2014)..

Serianne, Christina R. "Tunable Diode Laser Absorption Spectroscopy Verification Analysis for Use in the Combustion Optimization and Analysis Laser Laboratory. " (2009).

Bolshov, M. A., Kuritsyn, Y. A.&Romanovskii, Y. V. Tunable diode laser spectroscopy as a technique for combustion diagnostics.Spectrochimica Acta B: At. Spectrosc.106, 45–66 (2015)..

Zhou, Y. Y. et al. Photoacoustic imaging of microenvironmental changes in facial cupping therapy.Biomed. Opt. Express11, 2394–2401 (2021)..

Li, H. H. et al. Interferometry-free noncontact photoacoustic detection method based on speckle correlation change.Opt. Lett.44, 5481–5484 (2019)..

Wang, L. V.&Yao, J. J. A practical guide to photoacoustic tomography in the life sciences.Nat. Methods13, 627–638 (2016)..

Wang, L. V.&Hu, S. Photoacoustic tomography: In vivo imaging from organelles to organs.Science335, 1458–1462 (2012)..

Randeberg, L. L.&Hernandez-Palacios, J. Hyperspectral imaging of bruises in the SWIR spectral region. In:Proc. SPIE 8207 Photonic Therapeutics and Diagnostics VIII(SPIE, 2012), 82070N,https://doi.org/10.1117/12.909137https://doi.org/10.1117/12.909137..

Peterson, H. M. et al. In vivo noninvasive functional measurements of bone sarcoma using diffuse optical spectroscopic imaging.J. Biomed. Opt.22, 121612 (2017)..

Roblyer, D. et al. Optical imaging of breast cancer oxyhemoglobin flare correlates with neoadjuvant chemotherapy response one day after starting treatment.Proc. Natl Acad. Sci. USA108, 14626–14631 (2011)..

Wang, L. V.&Wu, H. I.Biomedical Optics: Principles and Imaging(John Wiley&Sons, 2012).

Pham, T. H. et al. Broad bandwidth frequency domain instrument for quantitative tissue optical spectroscopy.Rev. Sci. Instrum.71, 2500–2513 (2000)..

Cuccia, D. J. et al. Quantitation and mapping of tissue optical properties using modulated imaging.J. Biomed. Opt.14, 024012 (2009)..

Yazdi, H. S. et al. Mapping breast cancer blood flow index, composition, and metabolism in a human subject using combined diffuse optical spectroscopic imaging and diffuse correlation spectroscopy.J. Biomed. Opt.22, 045003 (2017)..

O'Sullivan, T. D. et al. Optical imaging correlates with magnetic resonance imaging breast density and reveals composition changes during neoadjuvant chemotherapy.Breast Cancer Res.15, R14 (2013)..

Cerussi, A. E. et al. Diffuse optical spectroscopic imaging correlates with final pathological response in breast cancer neoadjuvant chemotherapy.Philos. Trans. R. Soc. A: Math. Phys. Eng. Sci.369, 4512–4530 (2011)..

Zhao, Y. Y. et al. Direct mapping from diffuse reflectance to chromophore concentrations in multi-fxspatial frequency domain imaging (SFDI) with a deep residual network (DRN).Biomed. Opt. Express12, 433–443 (2021)..

Zhao, Y. Y. et al. Deep learning model for ultrafast multifrequency optical property extractions for spatial frequency domain imaging.Opt. Lett.43, 5669–5672 (2018)..

Zhao, Y. Y. et al. Angle correction for small animal tumor imaging with spatial frequency domain imaging (SFDI).Biomed. Opt. Express7, 2373–2384 (2016)..

Martinelli, M. et al. Analysis of single Monte Carlo methods for prediction of reflectance from turbid media.Opt. Express19, 19627–19642 (2011)..

Angelo, J. et al. Ultrafast optical property map generation using lookup tables.J. Biomed. Opt.21, 110501 (2016)..

Tabassum, S. et al. Feasibility of spatial frequency domain imaging (SFDI) for optically characterizing a preclinical oncology model.Biomed. Opt. Express7, 4154–4170 (2016)..

Pera, V. et al. Optical property uncertainty estimates for spatial frequency domain imaging.Biomed. Opt. Express9, 661–678 (2018)..

Yao, J. J. et al. High-speed label-free functional photoacoustic microscopy of mouse brain in action.Nat. Methods12, 407–410 (2015)..

Colonnese, M. T. et al. Development of hemodynamic responses and functional connectivity in rat somatosensory cortex.Nat. Neurosci.11, 72–79 (2008)..

Winder, A. T. et al. Weak correlations between hemodynamic signals and ongoing neural activity during the resting state.Nat. Neurosci.20, 1761–1769 (2017)..

Hoshi, Y., Kobayashi, N.&Tamura, M. Interpretation of near-infrared spectroscopy signals: A study with a newly developed perfused rat brain model.J. Appl. Physiol.90, 1657–1662 (2001)..

Mazhar, A. et al. Wavelength optimization for rapid chromophore mapping using spatial frequency domain imaging.J. Biomed. Opt.15, 061716 (2010)..

Parvizi, J.&Kastner, S. Promises and limitations of human intracranial electroencephalography.Nat. Neurosci.21, 474–483 (2018)..

Luu, T. P. et al. Real-time EEG-based brain-computer interface to a virtual avatar enhances cortical involvement in human treadmill walking.Sci. Rep.7, 8895 (2017)..

Van De Giessen, M., Angelo, J. P.&Gioux, S. Real-time, profile-corrected single snapshot imaging of optical properties.Biomed. Opt. Express6, 4051–4062 (2015)..

Li, Y. et al. Snapshot photoacoustic topography through an ergodic relay for high-throughput imaging of optical absorption.Nat. Photonics14, 164–170 (2021)..

Aguénounon, E. et al. Real-time, wide-field and high-quality single snapshot imaging of optical properties with profile correction using deep learning.Biomed. Opt. Express11, 5701–5716 (2021)..

Cuccia, D. J. et al. Modulated imaging: quantitative analysis and tomography of turbid media in the spatial-frequency domain.Opt. Lett.30, 1354–1356 (2005)..

Floyd, R. W.&Steinberg, L. An Adaptive Algorithm for Spatial Grayscale.Proc. Soc. Inf. Disp.17, 75–77 (1976)..

Analoui, Mostafa, and Jan P. Allebach. "Model-based halftoning using direct binary search. " In Human Vision, Visual Processing, and Digital Display Ⅲ, vol. 1666, pp. 96-108. International Society for Optics and Photonics, 1992.

Hu, X. Y. Simple gradient-based error-diffusion method.J. Electron. Imaging25, 043029 (2016)..

Beckman Laser Institute. NIR Tissue Absorption. athttp://dosi.bli.uci.edu/research/http://dosi.bli.uci.edu/research/.

Allen, T. J. et al. Spectroscopic photoacoustic imaging of lipid-rich plaques in the human aorta in the 740 to 1400 nm wavelength range.J. Biomed. Opt.17, 061209 (2012)..

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