Malignant tumor is a serious threat to human health. With the development of medical technology, a variety of treatment methods appear in clinic. As a non-invasive treatment, laser photothermal therapy is a treatment that kills cancer cells by converting light energy into heat energy through laser irradiation. Its advantage is protecting normal tissue while destroying cancerous tissue. However, it's still not clear that the effect of heat generated by laser on tissue and temperature changes during photothermal treatment process. Optical coherence tomography (OCT) is a non-contract, real-time optical imaging technology. OCT has been widely used in clinical treatment and scientific research based on fast imaging speed and high detection sensitivity. In our study, breast cancer of mice was chosen as the research object. Combined infrared thermography and OCT were applied to monitor the dynamic changes of tumor tissue. The effect of photothermal from OCT image and temperature were obtained and analyzed. Specifically, we investigated the structural change characteristics and temperature distribution of tumor tissue with increasing laser power. And then, the temperature change of tumors of different sizes at power of 3W were further analyzed. The results show that combined with OCT images and temperature can be well used to guide the photothermal treatment process. It can serve as a basis for the method with safely, consistently and effectively.
Tissue local temperature information is necessary for guiding treatment parameters in photothermal therapy. Therefore, a temperature monitoring method suitable for the treatment process is needed for monitoring tissue temperature in real time. In this study, a temperature monitoring system based on PID on the photothermal effect of graphene oxide on tissue was proposed. Graphene Oxide (GO) has high photothermal conversion performance and low cytotoxicity under near infrared laser irradiation at 808nm. The photoacoustic imaging system and infrared thermal imager were employed to monitor the effect of GO as a photothermal agent on the photoacoustic signal and temperature of tissues. Firstly, the relationship between the intensity of photoacoustic signal and the temperature of tissues under the action of GO was established. Then, the PID feedback algorithm was applied to monitor and regulate the temperature change of tissues by the intensity of photoacoustic signal, so as to achieve the purpose of photothermal treatment. The results show that GO can enhance the photoacoustic signal of the tissue under laser irradiation and improve the temperature of the irradiated tissue. The system can effectively monitor and regulate the tissue temperature to achieve the therapeutic effect of tumor with little effect on normal tissue.
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.
Photoacoustic imaging has developed rapidly in recent years and can effectively detect tumors, and this paper p roposes a non-destructive photoacoustic imaging detection method suitable for uterine tumors based on delayed superposition algorithm. A three-dimensional model of the uterus was designed using Solidworks software and printed on a 3D printing device. Strong absorbers were placed in different parts of the model, the detection of tumors in different parts was simulated, the pulsed laser was transmitted to the uterus by hysteroscopy, and the ultrasound probe was used to receive ultrasound signals in vitro, and image reconstruction was carried out to verify the sustainability of subsequent experiments. The embryonic uterus was made by using a fresh pork belly to cover the uterus model, and the imitation uterus was imaged, and the optical absorption parameters of the tumor and normal uterine tissue were used to reconstruct the uterus image.Aiming at the blurring of the image caused by the noise brought in during data acquisition, the noise cancellation method is used to effectively solve this problem. Experiments have shown that the system can accurately detect the structural size and location depth of the simulated tumor.
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