Photoacoustic imaging method for nondestructive testing of uterine tumors

Feiyang Wang; Haojie Zhang; Chuanhui Ge; Xiaoman Zhang; Hengchang Guo; Huan Yi; Yulong Zhang; Hui Li

doi:10.1117/12.2682932

18 July 2023 Photoacoustic imaging method for nondestructive testing of uterine tumors

Feiyang Wang, Haojie Zhang, Chuanhui Ge, Xiaoman Zhang, Hengchang Guo, Huan Yi, Yulong Zhang, Hui Li

Author Affiliations +

Proceedings Volume 12745, Sixteenth International Conference on Photonics and Imaging in Biology and Medicine (PIBM 2023); 127450P (2023) https://doi.org/10.1117/12.2682932
Event: Sixteenth International Conference on Photonics and Imaging in Biology and Medicine (PIBM 2023), 2023, Haikou, China

Abstract

Photoacoustic imaging has developed rapidly in recent years and can effectively detect tumors, and this paper proposes 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.

Citation Download Citation

Feiyang Wang, Haojie Zhang, Chuanhui Ge, Xiaoman Zhang, Hengchang Guo, Huan Yi, Yulong Zhang, and Hui Li "Photoacoustic imaging method for nondestructive testing of uterine tumors", Proc. SPIE 12745, Sixteenth International Conference on Photonics and Imaging in Biology and Medicine (PIBM 2023), 127450P (18 July 2023); https://doi.org/10.1117/12.2682932

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KEYWORDS

Photoacoustic imaging

Uterus

Tumors

3D modeling

Image restoration

Pulsed laser operation

Imaging systems

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