Automatic segmentation of myocardium from black-blood MR images using entropy and local neighborhood information.

Zheng, Qian; Lu, Zhentai; Zhang, Minghui; Xu, Lin; Ma, Huan; Song, Shengli; Feng, Qianjin; Feng, Yanqiu; Chen, Wufan; He, Taigang

Zheng, Qian; Lu, Zhentai; Zhang, Minghui; Xu, Lin; Ma, Huan; Song, Shengli; Feng, Qianjin; Feng, Yanqiu; Chen, Wufan; He, Taigang.

Afiliación

Zheng Q; Zhengzhou University of Light Industry, Zhengzhou 450002, China.
Lu Z; School of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China.
Zhang M; School of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China.
Xu L; University of Electronic Science and Technology of China, Chengdu 611731, China.
Ma H; Zhengzhou University of Light Industry, Zhengzhou 450002, China.
Song S; Zhengzhou University of Light Industry, Zhengzhou 450002, China.
Feng Q; School of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China.
Feng Y; School of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China.
Chen W; School of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China.
He T; Cardiovascular Sciences Research Centre, St George's, University of London, London SW17 0RE, United Kingdom; Biomedical Research Unit, Royal Brompton Hospital and Imperial College London, London SW7 2AZ, United Kingdom.

PLoS One ; 10(3): e0120018, 2015.

Article en En | MEDLINE | ID: mdl-25811976

Asunto(s)

Circulación Coronaria; Imagen por Resonancia Magnética; Modelos Teóricos; Miocardio; Algoritmos; Ventrículos Cardíacos; Humanos; Imagen por Resonancia Magnética/métodos

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Imagen por Resonancia Magnética / Circulación Coronaria / Modelos Teóricos / Miocardio Límite: Humans Idioma: En Revista: PLoS One Asunto de la revista: CIENCIA / MEDICINA Año: 2015 Tipo del documento: Article País de afiliación: China

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