Quantitation of gray/white matter is important in evaluation of cerebral blood flow, atrophy,
and development of the brain. First-order statistical analysis of neonatal computed …

A simple automatic procedure for segmentation of gray and white matter in high resolution
1.5 T T1-weighted MR human brain images was developed and validated. The algorithm is …

PURPOSE To describe a quantitative MR imaging segmentation method for determination of
the volume of cerebrospinal fluid, gray matter, and white matter in living human brain, and to …

A fully automated method has been developed for segmentation of four different structures in
the neonatal brain: white matter (WM), central gray matter (CEGM), cortical gray matter …

This chapter describes a method of segmenting MR images into different tissue classes,
using a modified Gaussian Mixture Model. By knowing the prior spatial probability of each …

A computer-assisted method was employed to estimate the amounts of cerebrospinal fluid
(CSF), white matter, and gray matter in individual computerized tomography (CT) scans of …

A segmentation method is presented for gray matter, white matter, and cerebrospinal fluid
(CSF) in thinsliced single-channel brain magnetic resonance (MR) scans. The method is …

This paper describes an automatic tissue segmentation method for newborn brains from
magnetic resonance images (MRI). The analysis and study of newborn brain MRI is of great …

Preterm birth is often associated with impaired brain development. The state and expected
progression of preterm brain development can be evaluated using quantitative assessment …

This paper describes effort towards automatic tissue segmentation in neonatal MRI.
Extremely low contrast to noise ratio (CNR), regional intensity changes due to RF coil …