Machine learning method for limited view 3D PAT reconstruction with curved array

Yun Zou; Yixiao Lin; Sitai Kou; Quing Zhu

doi:10.1117/12.2649593

9 March 2023 Machine learning method for limited view 3D PAT reconstruction with curved array

Yun Zou, Yixiao Lin, Sitai Kou, Quing Zhu

Author Affiliations +

Proceedings Volume 12379, Photons Plus Ultrasound: Imaging and Sensing 2023; 123790H (2023) https://doi.org/10.1117/12.2649593
Event: SPIE BiOS, 2023, San Francisco, California, United States

Abstract

Photoacoustic tomography (PAT) is a valuable tool in characterizing ovarian lesions for accurate diagnosis. However, limited view problem degrades the quality of PAT reconstruction severely, especially for transvaginal transducer which only partially encloses the target. To address this issue, we compensated limited view information loss by co-registered PAT and US machine learning method. The simulation and phantom results showed that the details of the target were recovered by proposed method, compared with delay-and-sum reconstruction method.

Conference Presentation

Citation Download Citation

Yun Zou, Yixiao Lin, Sitai Kou, and Quing Zhu "Machine learning method for limited view 3D PAT reconstruction with curved array", Proc. SPIE 12379, Photons Plus Ultrasound: Imaging and Sensing 2023, 123790H (9 March 2023); https://doi.org/10.1117/12.2649593

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