T he magnetic resonance (MR) phenomenon was first described in 1946 2 but it was not until 1981 that the first transverse image through the human head was reported. In the last 20 years, MR technology has revolutionised medical and scientific neuroimaging, providing the richest source of information about the living brain available from any imaging technology and without the use of ionising rad...

This paper proposes an efficient segmentation algorithm for magnetic resonance (MR) images of the brain using a neuro-fuzzy algorithm. We apply this algorithm to various MR images, acquired from multiple MR scanners at different times, with varying slice thicknesses and fields of view. The proposed algorithm requires a priori knowledge concerning MR images of the brain. For example, MR images o...

BACKGROUND AND PURPOSE Infants with congenital diaphragmatic hernia are reported to have evidence of brain MR imaging abnormalities. Our study aimed to identify perinatal clinical factors in infants with congenital diaphragmatic hernia that are associated with evidence of brain injury on MR imaging performed before hospital discharge. MATERIALS AND METHODS MRIs performed before hospital disch...

SUMMARY Four patients in whom brain deaths was identified on the basis of neurologic and electroencephalographic findings were examined with MR imaging and MR angiography. MR images showed diffuse swelling of the cerebral gyri and cerebellar cortex, which prolongation of both the T1 and T2 signal (representing hypoxic ischemic brain injury), downward displacement of the diencephalon and the bra...

This paper presents a relevance vector regression (RVR) based parametric approach to the bias field estimation in brain magnetic resonance (MR) image segmentation. Segmentation is a very important and challenging task in brain analysis, while the bias field existed in the images can significantly deteriorate the performance. Most of current parametric bias field correction techniques use a pre-...

In the study we assessed the distortion of 7.0 T magnetic resonance (MR) images in reference to 1.5 T MR images in the radiosurgery of metastatic brain tumors. Radiosurgery with Gamma Knife Perfexion was performed for the treatment of a 54-yr-old female patient with multiple brain metastases by the co-registered images of the 7.0 T and 1.5 T magnetic resonance images (MRI). There was no signifi...

This paper focuses on the development of an accurate neonatal brain MRI segmentation algorithm and its clinical application to characterize normal brain development and investigate the neuro-anatomical correlates of cognitive impairments. Neonatal brain segmentation is challenging due to the large anatomical variability as a result of the rapid brain development in the neonatal period. The segm...