Cargando…
Automatic Segmentation of Myocardium from Black-Blood MR Images Using Entropy and Local Neighborhood Information
By using entropy and local neighborhood information, we present in this study a robust adaptive Gaussian regularizing Chan–Vese (CV) model to segment the myocardium from magnetic resonance images with intensity inhomogeneity. By utilizing the circular Hough transformation (CHT) our model is able to...
Autores principales: | Zheng, Qian, Lu, Zhentai, Zhang, Minghui, Xu, Lin, Ma, Huan, Song, Shengli, Feng, Qianjin, Feng, Yanqiu, Chen, Wufan, He, Taigang |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4374880/ https://www.ncbi.nlm.nih.gov/pubmed/25811976 http://dx.doi.org/10.1371/journal.pone.0120018 |
Ejemplares similares
-
Automatic Thalamus Segmentation from Magnetic Resonance Images Using Multiple Atlases Level Set Framework (MALSF)
por: Zhang, Minghui, et al.
Publicado: (2017) -
Content-Based Image Retrieval Using Spatial Layout Information in Brain Tumor T1-Weighted Contrast-Enhanced MR Images
por: Huang, Meiyan, et al.
Publicado: (2014) -
Improved Liver R2* Mapping by Averaging Decay Curves
por: Zhang, Xinyuan, et al.
Publicado: (2017) -
Liver DCE-MRI Registration in Manifold Space Based on Robust Principal Component Analysis
por: Feng, Qianjin, et al.
Publicado: (2016) -
Retrieval of Brain Tumors with Region-Specific Bag-of-Visual-Words Representations in Contrast-Enhanced MRI Images
por: Huang, Meiyan, et al.
Publicado: (2012)