Image denoising substantially improves accuracy and precision of intravoxel incoherent motion parameter estimates.

ABSTRACT: Applicability of intravoxel incoherent motion (IVIM) imaging in the clinical setting is hampered by the limited reliability in particular of the perfusion-related parameter estimates. To alleviate this problem, various advanced postprocessing methods have been introduced. However, the underlying algorithms are not readily available and generally suffer from an increased computational burden. Contrary, several computationally fast image denoising methods have recently been proposed which are accessible online and may improve reliability of IVIM parameter estimates. The objective of the present work is to investigate the impact of image denoising on accuracy and precision of IVIM parameter estimates using comprehensive in-silico and in-vivo experiments. Image denoising is performed with four

SUBMITTER: Reischauer C 

PROVIDER: S-EPMC5381911 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature