Thermal-energy memory based photoacoustic thermometry (TEMPT) in deep tissue (Conference Presentation)

Junjie Yao; Yuan Zhou; Mucong Li; Jianwen Luo; Pei Zhong

doi:10.1117/12.2543912

20 April 2020 Thermal-energy memory based photoacoustic thermometry (TEMPT) in deep tissue (Conference Presentation)

Junjie Yao, Yuan Zhou, Mucong Li, Jianwen Luo, Pei Zhong

Proceedings Volume 11240, Photons Plus Ultrasound: Imaging and Sensing 2020; 112402J (2020) https://doi.org/10.1117/12.2543912
Event: SPIE BiOS, 2020, San Francisco, California, United States

Abstract

Photoacoustic (PA) tomography (PAT) is a promising technology for noninvasive temperature sensing. However, traditional PA thermometry can measure only the temperature changes relative to a baseline. Here we report a new thermal-energy-memory-based PA thermometry (TEMPT) to quantify the Grüneisen parameter and recover the absolute temperature distribution in deep tissues. We have validated the feasibility of TEMPT on tissue-mimicking phantoms and achieved a measurement accuracy of ~0.5 °C at 1.5 cm depth. As proof-of-concept, we applied TEMPT for temperature mapping during focused ultrasound treatment in mice in vivo. TEMPT is expected to find applications in thermotherapy on small animal models.

Conference Presentation

Citation Download Citation

Junjie Yao, Yuan Zhou, Mucong Li, Jianwen Luo, and Pei Zhong "Thermal-energy memory based photoacoustic thermometry (TEMPT) in deep tissue (Conference Presentation)", Proc. SPIE 11240, Photons Plus Ultrasound: Imaging and Sensing 2020, 112402J (20 April 2020); https://doi.org/10.1117/12.2543912

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