A novel fusion method for X-ray phase contrast imaging based on fast adaptive bidimensional empirical mode decomposition.

Tian, Zonghan; Tao, Siwei; Bai, Ling; Xu, Yueshu; Liu, Xu; Kuang, Cuifang

Tian, Zonghan; Tao, Siwei; Bai, Ling; Xu, Yueshu; Liu, Xu; Kuang, Cuifang.

Afiliação

Tian Z; State Key Laboratory of Extreme Photonics and Instrumentation, College of Optical Science & Engineering, Zhejiang University, Hangzhou, China.
Tao S; State Key Laboratory of Extreme Photonics and Instrumentation, College of Optical Science & Engineering, Zhejiang University, Hangzhou, China.
Bai L; State Key Laboratory of Extreme Photonics and Instrumentation, College of Optical Science & Engineering, Zhejiang University, Hangzhou, China.
Xu Y; State Key Laboratory of Extreme Photonics and Instrumentation, College of Optical Science & Engineering, Zhejiang University, Hangzhou, China.
Liu X; ZJU-Hangzhou Global Scientific and Technological Innovation Center, Hangzhou, China.
Kuang C; State Key Laboratory of Extreme Photonics and Instrumentation, College of Optical Science & Engineering, Zhejiang University, Hangzhou, China.

J Xray Sci Technol ; 31(6): 1341-1362, 2023.

Article em En | MEDLINE | ID: mdl-37840465

Assuntos

Algoritmos; Tomografia Computadorizada por Raios X; Raios X; Tomografia Computadorizada por Raios X/métodos; Redes Neurais de Computação; Análise de Ondaletas; Processamento de Imagem Assistida por Computador/métodos

Palavras-chave

X-ray grating interferometry; X-ray phase contrast imaging; fast adaptive bidimensional empirical mode decomposition; image fusion; pulse coupled neural network

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Algoritmos / Tomografia Computadorizada por Raios X Idioma: En Ano de publicação: 2023 Tipo de documento: Article

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