Blood vessels are not only the channel of tumor growth and metastasis, but also the channel of tumor drug therapy. With the development of laser technology, laser treatment of tumor has attracted more and more attention. The changes of blood vessels and tumor parenchyma during photothermal therapy directly reflect the effect of photothermal therapy on tumor. In this paper, speckle variance OCT was used to monitor the dynamic changes of blood vessels and tumor parenchyma in laser photothermal therapy. Specifically, taking the mouse ear as an animal model, the spectral domain OCT combined with speckle variance algorithm was used to monitor the changes of blood vessels and tissues in real time during tissue 830nm continuous laser irradiation. At the same time, the infrared thermal imager is used to monitor the temperature change in the process. To establish the correlation between temperature and the damage of tissue and blood vessels under laser irradiation. The results will provide an effective evaluation method for photothermal therapy and an auxiliary method for tumor treatment monitoring
Photoacoustic imaging is an imaging technology which combines the advantages of high-resolution optical imaging and deep detection depth of acoustic imaging. Photoacoustic imaging combined with hysteroscopy may be a new diagnostic technique for endometrial cancer. However, the energy loss after pulsed laser passing through the hysteroscope is very large. Therefore, the energy of pulsed laser after hysteroscopy based on photoacoustic imaging is worth further discussion. A coupling Program of pulsed laser and hysteroscope based on the optical path of pulsed laser and hysteroscope was designed in this paper. The Program was optimized by ZEMAX simulation, and then the optimal effect of pulsed laser observation through hysteroscopy was verified by phantom experiment. The results show that the pulsed laser can obtain better photoacoustic signals after passing through our coupling module. This method is expected to be applied to the detection of endometrial diseases in clinic.
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