Standardization of brain MR images across machines and protocols: bridging the gap for MRI-based radiomics.

ABSTRACT: Radiomics relies on the extraction of a wide variety of quantitative image-based features to provide decision support. Magnetic resonance imaging (MRI) contributes to the personalization of patient care but suffers from being highly dependent on acquisition and reconstruction parameters. Today, there are no guidelines regarding the optimal pre-processing of MR images in the context of radiomics, which is crucial for the generalization of published image-based signatures. This study aims to assess the impact of three different intensity normalization methods (Nyul, WhiteStripe, Z-Score) typically used in MRI together with two methods for intensity discretization (fixed bin size and fixed bin number). The impact of these methods was evaluated on first- and second-order radiomics features ext

SUBMITTER: Carre A 

PROVIDER: S-EPMC7378556 | biostudies-literature | 2020 Jul

REPOSITORIES: biostudies-literature