Cargando…
A supervised deep neural network approach with standardized targets for enhanced accuracy of IVIM parameter estimation from multi‐SNR images
Extraction of intravoxel incoherent motion (IVIM) parameters from noisy diffusion‐weighted (DW) images using a biexponential fitting model is computationally challenging, and the reliability of the estimated perfusion‐related quantities represents a limitation of this technique. Artificial intellige...
Autores principales: | Mastropietro, Alfonso, Procissi, Daniel, Scalco, Elisa, Rizzo, Giovanna, Bertolino, Nicola |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9539583/ https://www.ncbi.nlm.nih.gov/pubmed/35587618 http://dx.doi.org/10.1002/nbm.4774 |
Ejemplares similares
-
Impact of b-Value Sampling Scheme on Brain IVIM Parameter Estimation in Healthy Subjects
por: Chabert, Stéren, et al.
Publicado: (2019) -
A priori SNR estimation and noise estimation for speech enhancement
por: Yao, Rui, et al.
Publicado: (2016) -
Investigation of Accuracy of TOA and SNR of Radio Pulsar Signals for Vehicles Navigation
por: Kabakchiev, Hristo, et al.
Publicado: (2023) -
Data-Aided SNR Estimation for Bandlimited Optical Intensity Channels
por: Gappmair, Wilfried
Publicado: (2022) -
Bifurcated Topological Optimization for IVIM
por: Fadnavis, Shreyas, et al.
Publicado: (2021)