CONN-NLM: A Novel CONNectome-Based Non-local Means Filter for PET-MRI Denoising.

ABSTRACT:

Background

Advancements in hybrid positron emission tomography-magnetic resonance (PET-MR) systems allow for combining the advantages of each modality. Integrating information from MRI and PET can be valuable for diagnosing and treating neurological disorders. However, combining diffusion MRI (dMRI) and PET data, which provide highly complementary information, has rarely been exploited in image post-processing. dMRI has the ability to investigate the white matter pathways of the brain through fibre tractography, which enables comprehensive mapping of the brain connection networks (the "connectome"). Novel methods are required to combine information present in the connectome and PET to increase the full potential of PET-MRI.

Methods

We developed a CONNectome-based Non-Local M

SUBMITTER: Sun Z 

PROVIDER: S-EPMC9197079 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature