Deep-tissue temperature mapping by multi-illumination photoacoustic tomography aided by a diffusion optical model: a numerical study

Abstract. Temperature mapping during thermotherapy can help precisely control the heating process, both temporally and spatially, to efficiently kill the tumor cells and prevent the healthy tissues from heating damage. Photoacoustic tomography (PAT) has been used for noninvasive temperature mapping with high sensitivity, based on the linear correlation between the tissue’s Grüneisen parameter and temperature. However, limited by the tissue’s unknown optical properties and thus the optical fluence at depths beyond the optical diffusion limit, the reported PAT thermometry usually takes a ratiometric measurement at different temperatures and thus cannot provide absolute measurements. Moreover, ratiometric measurement over time at different temperatures has to assume that the tissue’s optical properties do not change with temperatures, which is usually not valid due to the temperature-induced hemodynamic changes. We propose an optical-diffusion-model-enhanced PAT temperature mapping that can obtain the absolute temperature distribution in deep tissue, without the need of multiple measurements at different temperatures. Based on the initial acoustic pressure reconstructed from multi-illumination photoacoustic signals, both the local optical fluence and the optical parameters including absorption and scattering coefficients are first estimated by the optical-diffusion model, then the temperature distribution is obtained from the reconstructed Grüneisen parameters. We have developed a mathematic model for the multi-illumination PAT of absolute temperatures, and our two-dimensional numerical simulations have shown the feasibility of this new method. The proposed absolute temperature mapping method may set the technical foundation for better temperature control in deep tissue in thermotherapy.

[1]  Robert J. Griffin,et al.  Improvement of Tumor Oxygenation by Mild Hyperthermia , 2001, Radiation research.

[2]  Roger J Zemp,et al.  Photoacoustic technique for assessing optical scattering properties of turbid media. , 2009, Journal of biomedical optics.

[3]  Junjie Yao,et al.  Absolute photoacoustic thermometry in deep tissue. , 2013, Optics letters.

[4]  Kirill V. Larin,et al.  Real-time optoacoustic monitoring of temperature in tissues , 1999, Photonics West - Biomedical Optics.

[5]  Paul C. Beard,et al.  Gradient-based quantitative photoacoustic image reconstruction for molecular imaging , 2007, SPIE BiOS.

[6]  Jianwen Luo,et al.  Accelerated image reconstruction in fluorescence molecular tomography using dimension reduction , 2013, Biomedical optics express.

[7]  Pai-Chi Li,et al.  Photoacoustic temperature measurements for monitoring of thermal therapy , 2009, BiOS.

[8]  Lihong V. Wang,et al.  Temperature mapping using photoacoustic and thermoacoustic tomography , 2012, Photonics West - Biomedical Optics.

[9]  Simon R. Arridge,et al.  Direct Estimation of Optical Parameters From Photoacoustic Time Series in Quantitative Photoacoustic Tomography , 2016, IEEE Transactions on Medical Imaging.

[10]  S. Emelianov,et al.  Photoacoustic imaging and temperature measurement for photothermal cancer therapy. , 2008, Journal of biomedical optics.

[11]  Lihong V. Wang,et al.  Universal back-projection algorithm for photoacoustic computed tomography. , 2005 .

[12]  Huabei Jiang,et al.  Transport-based quantitative photoacoustic tomography: simulations and experiments , 2010, Physics in medicine and biology.

[13]  Sergey A. Ermilov,et al.  In vivo cryoablation of prostate tissue with temperature monitoring by optoacoustic imaging , 2016, SPIE BiOS.

[14]  Markus Haltmeier,et al.  Single-stage reconstruction algorithm for quantitative photoacoustic tomography , 2015, 1501.04603.

[15]  Da Xing,et al.  Fast multielement phase-controlled photoacoustic imaging based on limited-field-filtered back-projection algorithm , 2005 .

[16]  Alexander Baade,et al.  Real-time temperature determination during retinal photocoagulation on patients. , 2012, Journal of biomedical optics.

[17]  Huabei Jiang,et al.  Quantitative photoacoustic tomography: Recovery of optical absorption coefficient maps of heterogeneous media , 2006 .

[18]  Xun Wu,et al.  Photoacoustic-imaging-based temperature monitoring for high-intensity focused ultrasound therapy , 2016, 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

[19]  Huabei Jiang,et al.  Quantitative photoacoustic tomography based on the radiative transfer equation. , 2009, Optics letters.

[20]  Jan Laufer,et al.  Quantitative determination of chromophore concentrations from 2D photoacoustic images using a nonlinear model-based inversion scheme. , 2010, Applied optics.

[21]  M. Schweiger,et al.  A finite element approach for modeling photon transport in tissue. , 1993, Medical physics.

[22]  Naofumi Yamada,et al.  Linear Thermal Expansion Coefficient of Silicon from 293 to 1000 K , 2004 .

[23]  L. Xiang,et al.  High antinoise photoacoustic tomography based on a modified filtered backprojection algorithm with combination wavelet. , 2007, Medical physics.

[24]  M. Fink,et al.  Time reversal of ultrasonic fields. I. Basic principles , 1992, IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control.

[25]  Linh V. Nguyen,et al.  Reconstruction and time reversal in thermoacoustic tomography in acoustically homogeneous and inhomogeneous media , 2008 .

[26]  Lihong V. Wang,et al.  Thermoacoustic and photoacoustic sensing of temperature. , 2009, Journal of biomedical optics.

[27]  M. Haltmeier,et al.  Temporal back-projection algorithms for photoacoustic tomography with integrating line detectors , 2007 .

[28]  P. Burgholzer,et al.  Photoacoustic tomography using a fiber based Fabry-Perot interferometer as an integrating line detector and image reconstruction by model-based time reversal method , 2007, European Conference on Biomedical Optics.

[29]  Suhyun Park,et al.  Adaptive beamforming for photoacoustic imaging. , 2008, Optics letters.

[30]  Roland Felix,et al.  The effect of thermotherapy using magnetic nanoparticles on rat malignant glioma , 2006, Journal of Neuro-Oncology.

[31]  C. Song,et al.  Improvement of tumor oxygenation status by mild temperature hyperthermia alone or in combination with carbogen. , 1997, Seminars in oncology.

[32]  Roger J. Zemp,et al.  A photoacoustic method for optical scattering measurements in turbid media , 2009, BiOS.

[33]  R. Leahy,et al.  Joint L1 and total variation regularization for fluorescence molecular tomography , 2012, Physics in medicine and biology.

[34]  Guillaume Bal,et al.  Multi-source quantitative photoacoustic tomography in a diffusive regime , 2011 .

[35]  Lihong V. Wang,et al.  Biomedical Optics: Principles and Imaging , 2007 .

[36]  R. Zemp,et al.  Estimating optical absorption, scattering, and Grueneisen distributions with multiple-illumination photoacoustic tomography. , 2011, Applied optics.

[37]  S. Arridge,et al.  Quantitative spectroscopic photoacoustic imaging: a review. , 2012, Journal of biomedical optics.

[38]  Manojit Pramanik,et al.  Improving tangential resolution with a modified delay-and-sum reconstruction algorithm in photoacoustic and thermoacoustic tomography. , 2014, Journal of the Optical Society of America. A, Optics, image science, and vision.

[39]  Jianwen Luo,et al.  Fast direct reconstruction strategy of dynamic fluorescence molecular tomography using graphics processing units , 2016, Journal of biomedical optics.

[40]  I. Pelivanov,et al.  Temperature dependence of the optoacoustic transformation efficiency in ex vivo tissues for application in monitoring thermal therapies. , 2012, Journal of biomedical optics.

[41]  F. D. de Mul,et al.  Three-dimensional photoacoustic imaging of blood vessels in tissue. , 1998, Optics letters.

[42]  M. Fink Time reversed acoustics , 2001 .

[43]  Vasilis Ntziachristos,et al.  Performance dependence of hybrid x-ray computed tomography/fluorescence molecular tomography on the optical forward problem. , 2009, Journal of the Optical Society of America. A, Optics, image science, and vision.

[44]  Stanislav Emelianov,et al.  Sensitivity enhanced nanothermal sensors for photoacoustic temperature mapping , 2013, Journal of biophotonics.

[45]  Vasilis Ntziachristos,et al.  Accurate Model-Based Reconstruction Algorithm for Three-Dimensional Optoacoustic Tomography , 2012, IEEE Transactions on Medical Imaging.

[46]  Da Xing,et al.  Photoacoustic imaging with deconvolution algorithm. , 2004, Physics in medicine and biology.

[47]  Vyacheslav Nadvoretskiy,et al.  Imaging technique for real-time temperature monitoring during cryotherapy of lesions , 2016, Journal of biomedical optics.

[48]  Walter J. Riker A Review of J , 2010 .

[49]  Lihong V. Wang,et al.  Tissue temperature monitoring using thermoacoustic and photoacoustic techniques , 2010, BiOS.

[50]  S. Arridge,et al.  Estimating chromophore distributions from multiwavelength photoacoustic images. , 2009, Journal of the Optical Society of America. A, Optics, image science, and vision.

[51]  S. Arridge Optical tomography in medical imaging , 1999 .

[52]  Jimmy Ba,et al.  Adam: A Method for Stochastic Optimization , 2014, ICLR.

[53]  Simon R Arridge,et al.  Two-dimensional quantitative photoacoustic image reconstruction of absorption distributions in scattering media by use of a simple iterative method. , 2006, Applied optics.

[54]  Lihong V Wang,et al.  Photoacoustic thermography of tissue , 2014, Journal of biomedical optics.

[55]  Guillaume Bal,et al.  On multi-spectral quantitative photoacoustic tomography in diffusive regime , 2012 .

[56]  Arnold Neumaier,et al.  Solving Ill-Conditioned and Singular Linear Systems: A Tutorial on Regularization , 1998, SIAM Rev..

[57]  Akira Ishimaru,et al.  Wave propagation and scattering in random media , 1997 .

[58]  Andrew G. Glen,et al.  APPL , 2001 .

[59]  S. Maenosono,et al.  Theoretical assessment of FePt nanoparticles as heating elements for magnetic hyperthermia , 2006, IEEE Transactions on Magnetics.

[60]  Yukio Yamada,et al.  Improvement of image quality of time-domain diffuse optical tomography with lp sparsity regularization , 2011, Biomedical optics express.

[61]  George S. K. Wong,et al.  Speed of sound in pure water as a function of temperature , 1993 .

[62]  W Cong,et al.  Modeling photon propagation in biological tissues using a generalized Delta-Eddington phase function. , 2007, Physical review. E, Statistical, nonlinear, and soft matter physics.