The tool, called MindGlide, can extract key information from existing brain MRI scan images acquired during the care of MS patients ... contrasts (T1-weighted, T2-weighted, and T2-FLAIR contrasts ...

MindGlide is a deep learning model that can extract key biomarkers, including lesion load and brain volume changes, from MRI scans ... progressive MS trial, with 5.31% in FLAIR and 4.62% in ...

central nervous system infections; multiple sclerosis; differential diagnosis; magnetic resonance imaging ... and periventricular white matter lesions that are hyperintense on T2/FLAIR images and ...

Summary: A new AI tool, MindGlide, can rapidly analyze routine brain MRI scans to detect subtle changes caused by multiple sclerosis (MS), such as brain shrinkage and lesions ... such as T2-weighted ...

We train a Cycle-Consistent GAN to translate FLAIR images (source domain) into synthetic T1-weighted MRI images (target domain) using unpaired data. Evaluation includes image similarity metrics.

High-resolution structural images were obtained using a T1-weighted MP-RAGE Sequence with the following parameters: Repetition Time (TR) = 2,200 ms; minimum ... volume on an MRI scan, a Fluid ...

This finding suggests that early magnetic resonance imaging ... (T2-FLAIR) imaging, and susceptibility-weighted imaging (SWI). The acquisition parameters for T1-weighted 3D imaging were as follows: ...

High-risk individuals at mid-life have increased medial temporal lobe atrophy and white matter lesion volume. The MRI protocol includes entire brain volumetric T1 weighted images (1×1×1 mm) for ...

Columnist Leigh Anne Nelson, usually described as calm, acknowledges a little anxiety about getting her next MRI.

A new artificial intelligence (AI) tool called MindGlide was found to accurately calculate MS-related brain damage using a ...