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Proceedings Paper

Thermal Outlining using Focused Ultrasound (TOFU) with reversible temperature sensitive fluorescent probes
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Paper Abstract

Optical imaging has long been hindered by the high absorption and scattering of light in biological tissue. This makes it difficult to probe beyond a few millimeters beneath the surface without sacrificing image resolution and quantitative accuracy. Strong scattering and the inherent nature of the inverse problem makes fluorescence diffuse optical tomography (FT) extremely challenging. To this end, multi-modality techniques that combine anatomical imaging with the functional optical information have been used to improve the resolution and accuracy of FT. Previously, we have reported on the feasibility of a new imaging method, "Thermal Outlining using Focused Ultrasound" (TOFU), which combines the sensitivity of FT with the resolution of focused ultrasound using temperature reversible fluorescent probes. In this method, the position of the temperature reversible fluorescent probes is localized by an increase in fluorescent signal when the hot spot of the focused ultrasound beam is scanned over the medium. This a priori information is then utilized to guide and constrain conventional reconstruction algorithm to recover the position and concentration of the probes more accurately. The small size of the focal spot (~1.4 mm) up to a depth of 6 cm, allows imaging the distribution of these temperature sensitive agents with not only high spatial resolution but also high quantitative accuracy in deep tissue. In this work, the performance of the system will be evaluated using simulation and phantoms to investigate the dependence that size of the fluorescent distribution has on the TOFU system performance.

Paper Details

Date Published: 10 March 2016
PDF: 7 pages
Proc. SPIE 9701, Multimodal Biomedical Imaging XI, 97010L (10 March 2016); doi: 10.1117/12.2213799
Show Author Affiliations
Tiffany C. Kwong, Univ. of California, Irvine (United States)
Farouk Nouizi, Univ. of California, Irvine (United States)
Yuting Lin, Univ. of California, Irvine (United States)
Massachusetts General Hospital and Harvard Medical School (United States)
Yue Zhu, InnoSense LLC (United States)
Uma Sampathkumaran, InnoSense LLC (United States)
Gultekin Gulsen, Univ. of California, Irvine (United States)


Published in SPIE Proceedings Vol. 9701:
Multimodal Biomedical Imaging XI
Fred S. Azar; Xavier Intes, Editor(s)

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