Paper
19 February 2018 Dual-mode photoacoustic and ultrasound system for real-time in-vivo ovarian cancer imaging
Author Affiliations +
Abstract
More than 80% of the ovarian cancers are diagnosed at late stages and the survival rate is less than 50%. Currently, there is no effective screening technique available and transvaginal US can only tell if the ovaries are enlarged or not. We have developed a new real-time co-registered US and photoacoustic system for in vivo imaging and characterization of ovaries. US is used to localize ovaries and photoacoustic imaging provides functional information about ovarian tissue angiogenesis and oxygenation saturation. The system consists of a tunable laser and a commercial US system from Alpinion Inc. The Alpinion system is cable of providing channel data for both US pulse-echo and photoacoustic imaging and can be programmed as a computer terminal for display US and photoacoustic images side by side or in coregistered mode. A transvaginal ultrasound probe of 6-MHz center frequency and bandwidth of 3-10 MHz is coupled with four optical fibers surrounded the US probe to deliver the light to tissue. The light from optical fibers is homogenized to ensure the power delivered to the tissue surface is below the FDA required limit. Physicians can easily navigate the probe and use US to look for ovaries and then turn on photoacoustic mode to provide real-time tumor vasculature and So2 saturation maps. With the optimized system, we have successfully imaged first group of 7 patients of malignant, abnormal and benign ovaries. The results have shown that both photoacoustic signal strength and spatial distribution are different between malignant and abnormal and benign ovaries.
© (2018) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Atahar Mostafa, Sreyankar Nandy, Eghbal Amidi, and Quing Zhu "Dual-mode photoacoustic and ultrasound system for real-time in-vivo ovarian cancer imaging ", Proc. SPIE 10494, Photons Plus Ultrasound: Imaging and Sensing 2018, 104944K (19 February 2018); https://doi.org/10.1117/12.2291055
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Cited by 3 scholarly publications.
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KEYWORDS
Imaging systems

Acquisition tracking and pointing

Ovarian cancer

Ovary

Tumors

In vivo imaging

Optical fibers

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