Recent advances in high speed diffuse optical imaging in biomedicine

Diffuse optical imaging (DOI) is a label-free, safe, inexpensive, and quantitative imaging modality that provides metabolic and molecular contrast in tissue using visible or near-infrared light. DOI modalities can image up to several centimeters deep in tissue, providing access to a wide range of human tissues and organ sites. DOI technologies have benefitted from several decades of academic research, which has provided a variety of platforms that prioritize imaging depth, resolution, field-of-view, spectral content, and other application-specific criteria. Until recently, however, acquisition and processing speeds have represented a stubborn barrier to further clinical exploration and implementation. Over the last several years, advances in high-speed data acquisition enabled by high-speed digital electronics, newly available sources and detectors, and innovative new scanning methods have led to major improvements in DOI rates. These advances are now being coupled with new data processing algorithms that utilize deep learning and other computationally efficient methods to provide rapid or real-time feedback in the clinic. Together, these improvements have the potential to help advance DOI technologies to the point where major impacts can be made in clinical care. Here, we review recent advances in acquisition and processing speed for several important DOI modalities.

[1]  V. Chock,et al.  Renal Saturation and Acute Kidney Injury in Neonates with Hypoxic Ischemic Encephalopathy Undergoing Therapeutic Hypothermia , 2018, The Journal of pediatrics.

[2]  Yukio Yamada,et al.  Diffuse optical tomography: Present status and its future , 2014 .

[3]  Hanli Liu,et al.  Low-cost frequency-domain photon migration instrument for tissue spectroscopy, oximetry, and imaging , 1997 .

[4]  Davide Contini,et al.  New frontiers in time-domain diffuse optics, a review , 2016, Journal of biomedical optics.

[5]  Anthony J. Durkin,et al.  In vivo spatial frequency domain spectroscopy of two layer media , 2012, Journal of biomedical optics.

[6]  E. Gratton,et al.  On-line optical imaging of the human brain with 160-ms temporal resolution. , 2000, Optics express.

[7]  B. Tromberg,et al.  Optical imaging of breast cancer oxyhemoglobin flare correlates with neoadjuvant chemotherapy response one day after starting treatment , 2011, Proceedings of the National Academy of Sciences.

[8]  E. Gratton,et al.  Noninvasive optical method of measuring tissue and arterial saturation: an application to absolute pulse oximetry of the brain. , 1999, Optics letters.

[9]  E. Miller,et al.  Reconstructing chromosphere concentration images directly by continuous-wave diffuse optical tomography. , 2004, Optics letters.

[10]  Sergio Fantini,et al.  Broadband Optical Mammography: Chromophore Concentration and Hemoglobin Saturation Contrast in Breast Cancer , 2015, PloS one.

[11]  Antonio Pifferi,et al.  Multiple-view diffuse optical tomography system based on time-domain compressive measurements. , 2017, Optics letters.

[12]  Marco Ferrari,et al.  A brief review on the history of human functional near-infrared spectroscopy (fNIRS) development and fields of application , 2012, NeuroImage.

[13]  Andrea Farina,et al.  Time-resolved diffuse optical tomography system based on adaptive structured light illumination and compressive sensing detection , 2018, Photonics Europe.

[14]  François Moreau,et al.  Near-infrared measurements of brain oxygenation in stroke , 2016, Neurophotonics.

[15]  W. B. Murray,et al.  The peripheral pulse wave: Information overlooked , 1996, Journal of clinical monitoring.

[16]  Davide Contini,et al.  Time domain functional NIRS imaging for human brain mapping , 2014, NeuroImage.

[17]  Nimmi Ramanujam,et al.  Optical breast cancer margin assessment: an observational study of the effects of tissue heterogeneity on optical contrast , 2010, Breast Cancer Research.

[18]  G. Wagnières,et al.  Determination of tissue optical properties by steady-state spatial frequency-domain reflectometry , 1998, Lasers in Medical Science.

[19]  Darren Roblyer,et al.  Feasibility of direct digital sampling for diffuse optical frequency domain spectroscopy in tissue , 2013, Measurement science & technology.

[20]  K. T. Moesta,et al.  Time-domain optical mammography: initial clinical results on detection and characterization of breast tumors. , 2003, Applied optics.

[21]  Ozlem Birgul,et al.  Diffuse optical tomographic reconstruction using multifrequency data. , 2006, Journal of biomedical optics.

[22]  T. Binzoni,et al.  Pulsatile and steady-state hemodynamics of the human patella bone by diffuse optical spectroscopy , 2013, Physiological measurement.

[23]  Miran Bürmen,et al.  Efficient estimation of subdiffusive optical parameters in real time from spatially resolved reflectance by artificial neural networks. , 2018, Optics letters.

[24]  P M Schlag,et al.  Frequency-domain techniques enhance optical mammography: initial clinical results. , 1997, Proceedings of the National Academy of Sciences of the United States of America.

[25]  A H Hielscher,et al.  Use of penalty terms in gradient-based iterative reconstruction schemes for optical tomography. , 2001, Journal of biomedical optics.

[26]  D. Roblyer,et al.  Quantitative real-time pulse oximetry with ultrafast frequency-domain diffuse optics and deep neural network processing. , 2018, Biomedical optics express.

[27]  Mark Niedre,et al.  Fast single photon avalanche photodiode-based time-resolved diffuse optical tomography scanner. , 2015, Biomedical optics express.

[28]  A. Murray,et al.  Age-related changes in the characteristics of the photoplethysmographic pulse shape at various body sites , 2003, Physiological measurement.

[29]  S. Arridge,et al.  A spread spectrum approach to time-domain near-infrared diffuse optical imaging using inexpensive optical transceiver modules , 2018, Biomedical optics express.

[30]  E. Watanabe,et al.  Spatial and temporal analysis of human motor activity using noninvasive NIR topography. , 1995, Medical physics.

[31]  Yanyu Zhao,et al.  Deep learning model for ultrafast multifrequency optical property extractions for spatial frequency domain imaging. , 2018, Optics letters.

[32]  Jerome Spanier,et al.  Analysis of single Monte Carlo methods for prediction of reflectance from turbid media , 2011, Optics express.

[33]  Xavier Intes,et al.  Time-resolved diffuse optical tomography with patterned-light illumination and detection. , 2010, Optics letters.

[34]  Albert Cerussi,et al.  Design and testing of a miniature broadband frequency domain photon migration instrument. , 2008, Journal of biomedical optics.

[35]  O. Feron,et al.  Cycling hypoxia: A key feature of the tumor microenvironment. , 2016, Biochimica et biophysica acta.

[36]  Bruce J Tromberg,et al.  Advanced demodulation technique for the extraction of tissue optical properties and structural orientation contrast in the spatial frequency domain , 2014, Journal of biomedical optics.

[37]  D Boas,et al.  A fundamental limitation of linearized algorithms for diffuse optical tomography. , 1997, Optics express.

[38]  Carole K Hayakawa,et al.  Optical sampling depth in the spatial frequency domain , 2018, Journal of biomedical optics.

[39]  A. Yodh,et al.  In vivo cerebrovascular measurement combining diffuse near-infrared absorption and correlation spectroscopies. , 2001, Physics in medicine and biology.

[40]  David A Boas,et al.  Noninvasive measurement of neuronal activity with near-infrared optical imaging , 2004, NeuroImage.

[41]  M. Schweiger,et al.  Three-dimensional in vivo fluorescence diffuse optical tomography of breast cancer in humans. , 2007, Optics express.

[42]  Ali Hasnain,et al.  Spread spectrum time-resolved diffuse optical measurement system for enhanced sensitivity in detecting human brain activity , 2017, Journal of biomedical optics.

[43]  Enrico Gratton,et al.  Digital parallel frequency-domain spectroscopy for tissue imaging , 2012, Journal of biomedical optics.

[44]  A. Yodh,et al.  Diffuse optics for tissue monitoring and tomography , 2010, Reports on progress in physics. Physical Society.

[45]  Turgut Durduran,et al.  Compressed sensing in diffuse optical tomography. , 2010, Optics express.

[46]  A. Yodh,et al.  Frequency-domain multiplexing system for in vivo diffuse light measurements of rapid cerebral hemodynamics. , 2003, Applied optics.

[47]  B. Tromberg,et al.  In vivo absorption, scattering, and physiologic properties of 58 malignant breast tumors determined by broadband diffuse optical spectroscopy. , 2006, Journal of biomedical optics.

[48]  Monica Fabiani,et al.  Fast Optical Imaging of Human Brain Function , 2010, Front. Hum. Neurosci..

[49]  G Gratton,et al.  The event-related optical signal: a new tool for studying brain function. , 2001, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.

[50]  Davide Contini,et al.  Towards next-generation time-domain diffuse optics for extreme depth penetration and sensitivity. , 2015, Biomedical optics express.

[51]  Anthony J. Durkin,et al.  Quantitation and mapping of tissue optical properties using modulated imaging. , 2009, Journal of biomedical optics.

[52]  Yukio Yamada,et al.  Overview of diffuse optical tomography and its clinical applications , 2016, Journal of biomedical optics.

[53]  Xavier Intes,et al.  Hyperspectral wide-field time domain single-pixel diffuse optical tomography platform. , 2018, Biomedical optics express.

[54]  Mohammad Torabzadeh,et al.  High-speed spatial frequency domain imaging of rat cortex detects dynamic optical and physiological properties following cardiac arrest and resuscitation , 2017, Neurophotonics.

[55]  J R Smith,et al.  Influence of blood flow occlusion on the development of peripheral and central fatigue during small muscle mass handgrip exercise , 2015, The Journal of physiology.

[56]  M. Schweiger,et al.  Photon-measurement density functions. Part 2: Finite-element-method calculations. , 1995, Applied optics.

[57]  Anthony J. Durkin,et al.  Multispectral imaging of tissue absorption and scattering using spatial frequency domain imaging and a computed-tomography imaging spectrometer. , 2011, Journal of biomedical optics.

[58]  Davide Contini,et al.  Fast-gated single-photon counting technique widens dynamic range and speeds up acquisition time in time-resolved measurements. , 2011, Optics express.

[59]  Raeef Istfan,et al.  Ultrafast wavelength multiplexed broad bandwidth digital diffuse optical spectroscopy for in vivo extraction of tissue optical properties , 2017, Journal of biomedical optics.

[60]  Nanguang Chen,et al.  Laplace-domain diffuse optical measurement , 2018, Scientific Reports.

[61]  X. Intes Time-Domain Optical Mammography SoftScan , 2005 .

[62]  V. Ntziachristos,et al.  Three-dimensional diffuse optical tomography in the parallel plane transmission geometry: evaluation of a hybrid frequency domain/continuous wave clinical system for breast imaging. , 2003, Medical physics.

[63]  David A Boas,et al.  Frequency domain near-infrared multiwavelength imager design using high-speed, direct analog-to-digital conversion , 2016, Journal of biomedical optics.

[64]  D Boas,et al.  Simultaneous imaging and optode calibration with diffuse optical tomography. , 2001, Optics express.

[65]  Sergio Fantini,et al.  Phase-amplitude investigation of spontaneous low-frequency oscillations of cerebral hemodynamics with near-infrared spectroscopy: A sleep study in human subjects , 2012, NeuroImage.

[66]  A. Yodh,et al.  Diffuse Optical Tomography of Cerebral Blood Flow, Oxygenation, and Metabolism in Rat during Focal Ischemia , 2003, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.

[67]  F. Jöbsis Noninvasive, infrared monitoring of cerebral and myocardial oxygen sufficiency and circulatory parameters. , 1977, Science.

[68]  D. Boas,et al.  Volumetric diffuse optical tomography of brain activity. , 2003, Optics letters.

[69]  David Hsiang,et al.  Frequent optical imaging during breast cancer neoadjuvant chemotherapy reveals dynamic tumor physiology in an individual patient. , 2010, Academic radiology.

[70]  B. Tromberg,et al.  Broad bandwidth frequency domain instrument for quantitative tissue optical spectroscopy , 2000 .

[71]  Hamid Dehghani,et al.  Near infrared optical tomography using NIRFAST: Algorithm for numerical model and image reconstruction. , 2009, Communications in numerical methods in engineering.

[72]  Anders M. Dale,et al.  Diffuse optical imaging of brain activation: approaches to optimizing image sensitivity, resolution, and accuracy , 2004, NeuroImage.

[73]  Heidrun Wabnitz,et al.  Scanning Time-domain Optical Mammography: Detection and Characterization of Breast Tumors In Vivo , 2005, Technology in cancer research & treatment.

[74]  Martin Wolf,et al.  Functional Frequency-Domain Near-Infrared Spectroscopy Detects Fast Neuronal Signal in the Motor Cortex , 2002, NeuroImage.

[75]  Bruce J Tromberg,et al.  Diffuse optical imaging using spatially and temporally modulated light. , 2012, Journal of biomedical optics.

[76]  Andrea Massa,et al.  Compressive Sensing-Based Born Iterative Method for Tomographic Imaging , 2019, IEEE Transactions on Microwave Theory and Techniques.

[77]  M. Dewhirst,et al.  Measuring tumor cycling hypoxia and angiogenesis using a side‐firing fiber optic probe , 2014, Journal of biophotonics.

[78]  M. Schweiger,et al.  Uniqueness and wavelength optimization in continuous-wave multispectral diffuse optical tomography. , 2003, Optics letters.

[79]  Jong Chul Ye,et al.  Compressive Diffuse Optical Tomography: Noniterative Exact Reconstruction Using Joint Sparsity , 2011, IEEE Transactions on Medical Imaging.

[80]  S. Fantini,et al.  Comment on the modified Beer-Lambert law for scattering media. , 2004, Physics in medicine and biology.

[81]  Kevin Kalinsky,et al.  Optical biomarkers for breast cancer derived from dynamic diffuse optical tomography , 2013, Journal of biomedical optics.

[82]  Sylvain Gioux,et al.  Real-time, profile-corrected single snapshot imaging of optical properties. , 2015, Biomedical optics express.

[83]  B. Pogue,et al.  A parallel-detection frequency-domain near-infrared tomography system for hemoglobin imaging of the , 2001 .

[84]  Zhe Li,et al.  Back-propagation neural network-based reconstruction algorithm for diffuse optical tomography , 2018, Journal of biomedical optics.

[85]  Sylvain Gioux,et al.  Ultrafast optical property map generation using lookup tables. , 2016, Journal of biomedical optics.

[86]  Joseph P Culver,et al.  Fast and efficient image reconstruction for high density diffuse optical imaging of the human brain. , 2015, Biomedical optics express.

[87]  G. Goertzel An Algorithm for the Evaluation of Finite Trigonometric Series , 1958 .

[88]  Bruce J. Tromberg,et al.  Optical property measurements in turbid media using frequency-domain photon migration , 1991, MedTech.

[89]  Tao Zhang,et al.  Towards real-time detection of seizures in awake rats with GPU-accelerated diffuse optical tomography , 2015, Journal of Neuroscience Methods.

[90]  N. Iftimia,et al.  Imaging of in vitro and in vivo bones and joints with continuous-wave diffuse optical tomography. , 2001, Optics express.

[91]  Nanguang Chen,et al.  Pseudo-random single photon counting: a high-speed implementation , 2010, Biomedical optics express.

[92]  L. O. Svaasand,et al.  Properties of photon density waves in multiple-scattering media. , 1993, Applied optics.

[93]  B. Pogue,et al.  Predicting Responses to Neoadjuvant Chemotherapy in Breast Cancer: ACRIN 6691 Trial of Diffuse Optical Spectroscopic Imaging. , 2016, Cancer research.

[94]  Sylvain Gioux,et al.  Single snapshot imaging of optical properties. , 2013, Biomedical optics express.

[95]  S. Fantini,et al.  Noninvasive assessment of testicular torsion in rabbits using frequency-domain near-infrared spectroscopy: prospects for pediatric urology. , 2009, Journal of biomedical optics.

[96]  E. Gratton,et al.  Fast cerebral functional signal in the 100-ms range detected in the visual cortex by frequency-domain near-infrared spectrophotometry. , 2003, Psychophysiology.

[97]  Sylvain Gioux,et al.  Real-time optical properties and oxygenation imaging using custom parallel processing in the spatial frequency domain. , 2019, Biomedical optics express.

[98]  Vasan Venugopalan,et al.  Accurate and efficient Monte Carlo solutions to the radiative transport equation in the spatial frequency domain. , 2011, Optics letters.

[99]  H. Jiang,et al.  Frequency-domain fluorescent diffusion tomography: a finite-element-based algorithm and simulations. , 1998, Applied optics.

[100]  J Martin Brown,et al.  Tumor hypoxia in cancer therapy. , 2007, Methods in enzymology.

[101]  Darren Roblyer,et al.  High-speed spatial frequency domain imaging with temporally modulated light , 2017, Journal of biomedical optics.

[102]  B. Sood,et al.  Near-infrared spectroscopy: applications in neonates. , 2015, Seminars in fetal & neonatal medicine.

[103]  J. Haselgrove,et al.  Photon hitting density. , 1993, Applied optics.

[104]  D. Boas,et al.  Near-infrared spiroximetry: noninvasive measurements of venous saturation in piglets and human subjects. , 2002, Journal of applied physiology.

[105]  Bruce J Tromberg,et al.  Multifrequency synthesis and extraction using square wave projection patterns for quantitative tissue imaging , 2015, Journal of biomedical optics.

[106]  Siqing Shan,et al.  The pervasive presence of fluctuating oxygenation in tumors. , 2008, Cancer research.

[107]  Martin Wolf,et al.  A review on continuous wave functional near-infrared spectroscopy and imaging instrumentation and methodology , 2014, NeuroImage.