The study of neuroanatomy using imaging enables key insights into how our brains function,
are shaped by genes and environment, and change with development, aging and disease …

Abstract The Alzheimer's Disease Neuroimaging Initiative (ADNI) is a longitudinal multisite
observational study of healthy elders, mild cognitive impairment (MCI), and Alzheimer's …

Consciousness is composed of arousal (ie, wakefulness) and awareness. Substantial
progress has been made in map** the cortical networks that underlie awareness in the …

We present an ultra-high resolution MRI dataset of an ex vivo human brain specimen. The
brain specimen was donated by a 58-year-old woman who had no history of neurological …

Purpose Demonstrate a novel fast method for reconstruction of multi‐dimensional MR
fingerprinting (MRF) data using deep learning methods. Methods A neural network (NN) is …

Magnetic resonance is an exceptionally powerful and versatile measurement technique. The
basic structure of a magnetic resonance experiment has remained largely unchanged for …

Neuroscience and clinical researchers are increasingly interested in quantitative magnetic
resonance imaging (qMRI) due to its sensitivity to micro-structural properties of brain tissue …

The large spatial inhomogeneity in transmit B1 field (B1+) observable in human MR images
at high static magnetic fields (B0) severely impairs image quality. To overcome this effect in …

Conventional magnetic resonance images are usually evaluated using the image signal
contrast between tissues and not based on their absolute signal intensities. Quantification of …

The image contrast in magnetic resonance imaging (MRI) is highly sensitive to several
mechanisms that are modulated by the properties of the tissue environment. The degree and …