Automatic Segmentation of Medial Temporal Lobe Subregions in Multi-Scanner, Multi-Modality Magnetic Resonance Imaging of Variable Quality.

ABSTRACT: Volumetry of subregions in the medial temporal lobe (MTL) computed from automatic segmentation in MRI can track neurodegeneration in Alzheimer's disease. However, poor quality MR images can lead to unreliable segmentation of MTL subregions. Considering that different MRI contrast mechanisms and field strengths (jointly referred to as "modalities" here) offer distinct advantages in imaging different parts of the MTL, we developed a multi-modality segmentation model using both 7T and 3T structural MRI to obtain robust segmentation in poor-quality images. MRI modalities including 3T T1-weighted, 3T T2-weighted, 7T T1-weighted and 7T T2-weighted (7T-T2w) of 197 participants were collected from a longitudinal aging study at the Penn Alzheimer's Disease Research Center. Among them, 7T-T2w was us

SUBMITTER: Li Y 

PROVIDER: S-EPMC12502466 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature