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9 May 2014 Optoacoustic characterization of prostate cancer in an in vivo transgenic murine model
Michelle P. Patterson, Christopher B. Riley, Michael C. Kolios, William M. Whelan
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Journal of Biomedical Optics, Vol. 19, Issue 5, 056008 (May 2014). https://doi.org/10.1117/1.JBO.19.5.056008
Abstract
Optoacoustic (OA) imaging was employed to distinguish normal from neoplastic tissues in a transgenic murine model of prostate cancer. OA images of five tumor-bearing mice and five age-matched controls across a 14  mm×14  mm region of interest (ROI) on the lower abdomen were acquired using a reverse-mode OA imaging system (Seno Medical Instruments Inc., San Antonio, Texas). Neoplastic prostate tissue was identified based on the OA signal amplitude in combination with spectral analysis of the OA radio frequency (RF) data. Integration of the signal amplitude images was performed to construct two-dimensional images of the ROI. The prostate tumors generated higher amplitude signals than those of the surrounding tissues, with contrast ratios ranging from 31 to 36 dB. The RF spectrum analysis showed significant differences between the tumor and the control mice. The midband fit was higher by 5 dB (62%), the intercept higher by 4 dB (57%) and the spectral slope higher by 0.4  dB/MHz (50%) for neoplastic prostate tissue compared to normal tissues in the control mice. The results demonstrate that OA offers high contrast imaging of prostate cancer in vivo.
CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
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Michelle P. Patterson, Christopher B. Riley, Michael C. Kolios, and William M. Whelan "Optoacoustic characterization of prostate cancer in an in vivo transgenic murine model," Journal of Biomedical Optics 19(5), 056008 (9 May 2014). https://doi.org/10.1117/1.JBO.19.5.056008
Published: 9 May 2014
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Cited by 22 scholarly publications.
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KEYWORDS
Tumors
Tissues
Control systems
Signal attenuation
Prostate
Prostate cancer
Ultrasonography
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