Cargando…
A Combined Random Forests and Active Contour Model Approach for Fully Automatic Segmentation of the Left Atrium in Volumetric MRI
Segmentation of the left atrium (LA) from cardiac magnetic resonance imaging (MRI) datasets is of great importance for image guided atrial fibrillation ablation, LA fibrosis quantification, and cardiac biophysical modelling. However, automated LA segmentation from cardiac MRI is challenging due to l...
Autores principales: | Ma, Chao, Luo, Gongning, Wang, Kuanquan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5337796/ https://www.ncbi.nlm.nih.gov/pubmed/28316992 http://dx.doi.org/10.1155/2017/8381094 |
Ejemplares similares
-
A Combined Fully Convolutional Networks and Deformable Model for Automatic Left Ventricle Segmentation Based on 3D Echocardiography
por: Dong, Suyu, et al.
Publicado: (2018) -
A robust statistics driven volume-scalable active contour for segmenting anatomical structures in volumetric medical images with complex conditions
por: Wang, Kuanquan, et al.
Publicado: (2016) -
Fully automated segmentation of left atrium and pulmonary veins in late gadolinium enhanced MRI
por: Tao, Qian, et al.
Publicado: (2016) -
A fully-automatic caudate nucleus segmentation of brain MRI: Application in volumetric analysis of pediatric attention-deficit/hyperactivity disorder
por: Igual, Laura, et al.
Publicado: (2011) -
Segmentation of Left and Right Ventricles in Cardiac MRI Using Active Contours
por: Soomro, Shafiullah, et al.
Publicado: (2017)