The first step is by applying an optimal multilevel threshold to the MRI tissue to obtain a minimum number of clustered pixels. The second step is to cluster each pixel in MRI intensity where ...

The default mode network (DMN) is a set of interconnected brain regions known to be most active when humans are awake but not ...

This curiosity surrounding the complex mechanisms and relationships underpinning brain functionality has been the key force fuelling his work at the helm of magnetic resonance imaging (MRI ...

The Research MRI Core provides resources at UAB for state-of-the-art magnetic resonance imaging experiments and analyses for examining brain and body anatomy and function both in health and disease.

Since MRI plays such a critical role in brain diagnoses ... "Imaging quality is important for visualizing brain anatomy and pathology and can help inform clinical decisions," said Wang, who ...

To enhance our understanding of the normal sequence of brain development in the immature ferret, we aimed to characterize postnatal neurodevelopment with conventional and diffusion MRI.

Among them, MRI has found significant application in examining CNS pathology, delivering data about changes in the anatomy, organization, and circuitry of the brain and spinal cord, and producing ...

The findings suggest that reconsideration of current clinical guidelines, which support MRI only for symptomatic brain ...

Researchers have developed an artificial intelligence (AI) model to detect the spread of metastatic brain cancer using MRI scans, offering insights into patients’ cancer without aggressive surgery.

shows a comparison study has been implemented on the proposed and the original segmentation methods on T1-weighted MRI gray and white matters. However, evaluation on 4 slices of brain tissues have ...