Cargando…
An efficient fusion algorithm combining feature extraction and variational optimization for CT and MR images
In medical image processing, image fusion is the process of combining complementary information from different or multimodality images to obtain an informative fused image in order to improve clinical diagnostic accuracy. In this paper, we propose a two‐stage fusion framework for computed tomography...
Autores principales: | Wang, Qinxia, Yang, Xiaoping |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7324707/ https://www.ncbi.nlm.nih.gov/pubmed/32306559 http://dx.doi.org/10.1002/acm2.12882 |
Ejemplares similares
-
Evaluation of whole‐body MR to CT deformable image registration
por: Akbarzadeh, A., et al.
Publicado: (2013) -
Development of a robust MRI fiducial system for automated fusion of MR‐US abdominal images
por: Favazza, Christopher P., et al.
Publicado: (2018) -
Clinical validation of the normalized mutual information method for registration of CT and MR images in radiotherapy of brain tumors
por: Veninga, Theo, et al.
Publicado: (2004) -
Evaluation of a commercial deformable image registration algorithm for dual‐energy CT processing
por: Huang, Jessie Y., et al.
Publicado: (2020) -
On the optimization of bone SPECT/CT in terms of image quality and radiation dose
por: Tulik, Monika, et al.
Publicado: (2020)