Toward characterizing the size of microscopic optical absorbers using optoacoustic emission spectroscopy

To assess the malignancy and progression of a tumour, parameters such as the size and number density of the microvessels are expected to be important. The optical absorption due to the blood that fills the microvessels can be visualised by optoacoustic imaging (OA). We have previously reported that increasing the inhomogeneity of absorption within a large absorbing volume produces evidence of reduced acoustic coherence which results in improved contrast and boundary detectability. Here we propose to take advantage of the expectation that the detailed nature of the inhomogeneity should influence the frequency spectrum of the OA signal. The overall aim of this work is to determine whether an analysis of the frequency spectrum of the emitted optoacoustic signal can be used to determine the scale of this absorption inhomogeneity, in particular parameters such as the characteristic size and separation of the absorbers (microvessels). In the preliminary study reported here, various gelatine-intralipid phantoms containing cylindrical wallless tubes filled with an ink solution were measured in water with a linear array ultrasound detector, using pulsedillumination that had been adjusted for an optimal distribution of light fluence with depth. Simulations of the experiments were also conducted, using a time domain acoustic propagation method. The results confirm that optoacoustic signals bear information on the sizes and distribution of the absorbers in their frequency spectra. It is shown that a simple way to determine the diameter of a single cylindrical absorber is to estimate the quefrency of the peak in the cepstrum of the measured signal. Further work is proposed to extend this to the statistical estimation of mean diameter and mean separation for an ensemble of similar absorbers and to absorbers with a diameter that is smaller than the axial resolution of the acoustic receiver.

[1]  H. Welsch,et al.  A combined platform for b-mode and real-time optoacoustic imaging based on raw data acquisition , 2008 .

[2]  Martin Frenz,et al.  Fourier reconstruction in optoacoustic imaging using truncated regularized inverse k-space interpolation , 2007 .

[3]  Stanislav Emelianov,et al.  Molecular specific optoacoustic imaging with plasmonic nanoparticles. , 2007, Optics express.

[4]  Paul C. Beard,et al.  Three-dimensional photoacoustic imaging of vascular anatomy in small animals using an optical detection system , 2007, SPIE BiOS.

[5]  Alexander A Karabutov,et al.  Optoacoustic imaging of absorbing objects in a turbid medium: ultimate sensitivity and application to breast cancer diagnostics. , 2007, Applied optics.

[6]  Otmar Scherzer,et al.  Filtered backprojection for thermoacoustic computed tomography in spherical geometry , 2005, Mathematical Methods in the Applied Sciences.

[7]  J A Ramos-Vara,et al.  Technical Aspects of Immunohistochemistry , 2005, Veterinary pathology.

[8]  Lihong V. Wang,et al.  In vivo dark-field reflection-mode photoacoustic microscopy. , 2005, Optics letters.

[9]  Geng Ku,et al.  Imaging of tumor angiogenesis in rat brains in vivo by photoacoustic tomography. , 2005, Applied optics.

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

[11]  Ronald I. Siphanto,et al.  Serial noninvasive photoacoustic imaging of neovascularization in tumor angiogenesis. , 2005, Optics express.

[12]  Erwin Hondebrink,et al.  Photoacoustic determination of blood vessel diameter. , 2004, Physics in medicine and biology.

[13]  Xunbin Wei,et al.  Selective cell targeting with light-absorbing microparticles and nanoparticles. , 2003, Biophysical journal.

[14]  Michele Follen,et al.  Real-time vital optical imaging of precancer using anti-epidermal growth factor receptor antibodies conjugated to gold nanoparticles. , 2003, Cancer research.

[15]  Michael C. Kolios,et al.  Ultrasonic spectral parameter characterization of apoptosis. , 2002, Ultrasound in medicine & biology.

[16]  H. Weber,et al.  Optoacoustic imaging using a three-dimensional reconstruction algorithm , 2001 .

[17]  H. Weber,et al.  Temporal backward projection of optoacoustic pressure transients using fourier transform methods. , 2001, Physics in medicine and biology.

[18]  Y V Zhulina,et al.  Optimal statistical approach to optoacoustic image reconstruction. , 2000, Applied optics.

[19]  E Yamamoto,et al.  Immunohistochemical study of tumour angiogenesis in oral squamous cell carcinoma. , 1997, Oral oncology.

[20]  J. Folkman New perspectives in clinical oncology from angiogenesis research. , 1996, European journal of cancer.

[21]  S. Steinberg,et al.  Tumor angiogenesis in advanced stage ovarian carcinoma. , 1995, The American journal of pathology.

[22]  Gerald J. Diebold,et al.  Photoacoustic waves generated by absorption of laser radiation in optically thin cylinders , 1993 .

[23]  F Pozza,et al.  Tumor angiogenesis: a new significant and independent prognostic indicator in early-stage breast carcinoma. , 1992, Journal of the National Cancer Institute.

[24]  J. Folkman,et al.  Tumor angiogenesis and metastasis--correlation in invasive breast carcinoma. , 1991, The New England journal of medicine.

[25]  E. Feleppa,et al.  Statistical framework for ultrasonic spectral parameter imaging. , 1997, Ultrasound in medicine & biology.

[26]  Mercer Jl Ultrasound scatterer size imaging of skin tumours : potential and limitations. , 1996 .

[27]  J. Folkman Angiogenesis in cancer, vascular, rheumatoid and other disease , 1995, Nature Medicine.

[28]  R. F. Wagner,et al.  Describing small-scale structure in random media using pulse-echo ultrasound. , 1990, The Journal of the Acoustical Society of America.