Embedding MRI information into MRSI data source extraction improves brain tumour delineation in animal models.

ABSTRACT: Glioblastoma is the most frequent malignant intra-cranial tumour. Magnetic resonance imaging is the modality of choice in diagnosis, aggressiveness assessment, and follow-up. However, there are examples where it lacks diagnostic accuracy. Magnetic resonance spectroscopy enables the identification of molecules present in the tissue, providing a precise metabolomic signature. Previous research shows that combining imaging and spectroscopy information results in more accurate outcomes and superior diagnostic value. This study proposes a method to combine them, which builds upon a previous methodology whose main objective is to guide the extraction of sources. To this aim, prior knowledge about class-specific information is integrated into the methodology by setting the metric of a latent vari

SUBMITTER: Ortega-Martorell S 

PROVIDER: S-EPMC6695141 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature