Mitigating Under-Sampling Artifacts in 3D Photoacoustic Imaging Using Res-UNet Based on Digital Breast Phantom.

Huo, Haoming; Deng, Handi; Gao, Jianpan; Duan, Hanqing; Ma, Cheng

Huo, Haoming; Deng, Handi; Gao, Jianpan; Duan, Hanqing; Ma, Cheng.

Afiliación

Huo H; Beijing National Research Center for Information Science and Technology, Department of Electronic Engineering, Tsinghua University, Beijing 100084, China.
Deng H; Beijing National Research Center for Information Science and Technology, Department of Electronic Engineering, Tsinghua University, Beijing 100084, China.
Gao J; Beijing National Research Center for Information Science and Technology, Department of Electronic Engineering, Tsinghua University, Beijing 100084, China.
Duan H; Beijing National Research Center for Information Science and Technology, Department of Electronic Engineering, Tsinghua University, Beijing 100084, China.
Ma C; Beijing National Research Center for Information Science and Technology, Department of Electronic Engineering, Tsinghua University, Beijing 100084, China.

Sensors (Basel) ; 23(15)2023 Aug 05.

Article en En | MEDLINE | ID: mdl-37571753

Asunto(s)

Neoplasias de la Mama; Técnicas Fotoacústicas; Humanos; Femenino; Artefactos; Técnicas Fotoacústicas/métodos; Mama; Imagenología Tridimensional/métodos; Fantasmas de Imagen; Algoritmos; Procesamiento de Imagen Asistido por Computador/métodos

Palabras clave

breast imaging; deep learning; image reconstruction; photoacoustic imaging; under-sampling

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Neoplasias de la Mama / Técnicas Fotoacústicas Límite: Female / Humans Idioma: En Revista: Sensors (Basel) Año: 2023 Tipo del documento: Article País de afiliación: China

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