Frequency-domain differential photoacoustic radar: theory and validation for ultrasensitive atherosclerotic plaque imaging

Abstract. Lipid composition of atherosclerotic plaques is considered to be highly related to plaque vulnerability. Therefore, a specific diagnostic or imaging modality that can sensitively evaluate plaques’ necrotic core is desirable in atherosclerosis imaging. In this regard, intravascular photoacoustic (IVPA) imaging is an emerging plaque detection technique that provides lipid-specific chemical information from an arterial wall with great optical contrast and long acoustic penetration depth. While, in the near-infrared window, a 1210-nm optical source is usually chosen for IVPA applications since lipids exhibit a strong absorption peak at that wavelength, the sensitivity problem arises in the conventional single-ended systems as other arterial tissues also show some degree of absorption near that spectral region, thereby generating undesirably interfering photoacoustic (PA) signals. A theory of the high-frequency frequency-domain differential photoacoustic radar (DPAR) modality is introduced as a unique detection technique for accurate and molecularly specific evaluation of vulnerable plaques. By assuming two low-power continuous-wave optical sources at ∼1210 and ∼970  nm in a differential manner, DPAR theory and the corresponding simulation/experiment studies suggest an imaging modality that is only sensitive and specific to the spectroscopically defined imaging target, cholesterol.

[1]  James E. Muller,et al.  Detection of lipid core coronary plaques in autopsy specimens with a novel catheter-based near-infrared spectroscopy system. , 2008, JACC. Cardiovascular imaging.

[2]  Andreas Mandelis,et al.  Comparison between pulsed laser and frequency-domain photoacoustic modalities: signal-to-noise ratio, contrast, resolution, and maximum depth detectivity. , 2011, The Review of scientific instruments.

[3]  M. Friebel,et al.  Model function to calculate the refractive index of native hemoglobin in the wavelength range of 250-1100 nm dependent on concentration. , 2006, Applied optics.

[4]  Yi Zhang,et al.  Real-time intravascular photoacoustic-ultrasound imaging of lipid-laden plaque at speed of video-rate level , 2017, BiOS.

[5]  P. Yock,et al.  Intravascular ultrasound: novel pathophysiological insights and current clinical applications. , 2001, Circulation.

[6]  R. Virmani,et al.  Lessons from sudden coronary death: a comprehensive morphological classification scheme for atherosclerotic lesions. , 2000, Arteriosclerosis, thrombosis, and vascular biology.

[7]  Wojciech Wojakowski,et al.  Intravascular ultrasound, optical coherence tomography and near infrared spectroscopy , 2015 .

[8]  Emily Chen,et al.  Frequency domain photoacoustic correlation (radar) imaging: a novel methodology for non-invasive imaging of biological tissues , 2012, Photonics West - Biomedical Optics.

[9]  Vasilis Ntziachristos,et al.  Wavelength-Modulated Differential Photoacoustic Spectroscopy (WM-DPAS): Theory of a High-Sensitivity Methodology for the Detection of Early-Stage Tumors in Tissues , 2015 .

[10]  Shriram Sethuraman,et al.  Spectroscopic intravascular photoacoustic imaging to differentiate atherosclerotic plaques. , 2008, Optics express.

[11]  Vasilis Ntziachristos,et al.  Wavelength‐Modulated Differential Photoacoustic Spectroscopy (WM‐DPAS) for noninvasive early cancer detection and tissue hypoxia monitoring , 2016, Journal of biophotonics.

[12]  Andreas Mandelis Imaging cancer with photoacoustic radar , 2017 .

[13]  Andreas Mandelis,et al.  Wavelength-modulated differential photoacoustic radar imager (WM-DPARI): accurate monitoring of absolute hemoglobin oxygen saturation. , 2016, Biomedical optics express.

[14]  B. Bouma,et al.  Optical coherence tomography for imaging the vulnerable plaque. , 2006, Journal of biomedical optics.

[15]  Ahmed Tawakol,et al.  Imaging Atherosclerosis , 2016, Circulation research.

[16]  Martina Meinke,et al.  Determination of optical properties of human blood in the spectral range 250 to 1100 nm using Monte Carlo simulations with hematocrit-dependent effective scattering phase functions. , 2006, Journal of biomedical optics.

[17]  François Mach,et al.  Inflammation and Atherosclerosis , 2004, Herz.

[18]  Gijs van Soest,et al.  Photoacoustic imaging of human coronary atherosclerosis in two spectral bands , 2013, Photoacoustics.

[19]  Konstantin V Sokolov,et al.  Intravascular Photoacoustic Imaging , 2010, IEEE Journal of Selected Topics in Quantum Electronics.

[20]  Makoto Yamakawa,et al.  Aortic atherosclerotic plaque detection using a multiwavelength handheld photoacoustic imaging system , 2016, SPIE BiOS.

[21]  Andreas Mandelis,et al.  Frequency-domain differential photoacoustic radar: theory and simulation for ultra-sensitive cholesterol imaging , 2019, BiOS.

[22]  E. Bolson,et al.  Lumen Diameter of Normal Human Coronary Arteries: Influence of Age, Sex, Anatomic Variation, and Left Ventricular Hypertrophy or Dilation , 1992, Circulation.

[23]  Da Xing,et al.  Simultaneous imaging of atherosclerotic plaque composition and structure with dual-mode photoacoustic and optical coherence tomography. , 2017, Optics express.

[24]  Edward Z. Zhang,et al.  Dual-wavelength 3D photoacoustic imaging of mammalian cells using a photoswitchable phytochrome reporter protein , 2018 .

[25]  Patrick W Serruys,et al.  Imaging of coronary atherosclerosis: intravascular ultrasound. , 2010, European heart journal.

[26]  J Olszewski,et al.  Cellular oxidation of low density lipoprotein is caused by thiol production in media containing transition metal ions. , 1993, Journal of lipid research.

[27]  Andreas Mandelis,et al.  Photothermoacoustic imaging of biological tissues: maximum depth characterization comparison of time and frequency-domain measurements. , 2009, Journal of biomedical optics.

[28]  Paul C Beard,et al.  Spectroscopic photoacoustic imaging of lipid-rich plaques in the human aorta in the 740 to 1400 nm wavelength range. , 2012, Journal of biomedical optics.

[29]  Stanislav Emelianov,et al.  Real-Time Intravascular Ultrasound and Photoacoustic Imaging , 2017, IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control.

[30]  Andreas Mandelis,et al.  Photoacoustic correlation signal-to-noise ratio enhancement by coherent averaging and optical waveform optimization. , 2013, The Review of scientific instruments.