Cargando…
Faster dense deformable image registration by utilizing both CPU and GPU
Purpose: Image registration is an important aspect of medical image analysis and a key component in many analysis concepts. Applications include fusion of multimodal images, multi-atlas segmentation, and whole-body analysis. Deformable image registration is often computationally expensive, and the n...
Autores principales: | Ekström, Simon, Pilia, Martino, Kullberg, Joel, Ahlström, Håkan, Strand, Robin, Malmberg, Filip |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Society of Photo-Optical Instrumentation Engineers
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7849043/ https://www.ncbi.nlm.nih.gov/pubmed/33542943 http://dx.doi.org/10.1117/1.JMI.8.1.014002 |
Ejemplares similares
-
Average volume reference space for large scale registration of whole-body magnetic resonance images
por: Pilia, Martino, et al.
Publicado: (2019) -
Multiple comparison correction methods for whole-body magnetic resonance imaging
por: Breznik, Eva, et al.
Publicado: (2020) -
Fast parallel image registration on CPU and GPU for diagnostic classification of Alzheimer's disease
por: Shamonin, Denis P., et al.
Publicado: (2014) -
A whole-body FDG PET/MR atlas for multiparametric voxel-based analysis
por: Sjöholm, Therese, et al.
Publicado: (2019) -
Review of CPU and GPU Faddeeva Implementations
por: Oeftiger, Adrian, et al.
Publicado: (2016)