The human brain is a highly complex structure, which can be only partially described by conventional metrics derived from magnetic resonance imaging (MRI), such as volume, cortical thickness, and gyrification index. In the last years, fractal dimension (FD) - useful quantitative index of geometry has proven to well express morphological complexity cerebral cortex. However, this likely higher th...

Typical NMO is characterized by simultaneous or sequential acute transverse myelitis and optic neuritis. Spinal cord lesions extending over 3 or more vertebral segments and normal brain imaging are the typical MRI findings in NMO. In typical cases with positive NMO antibody the diagnosis is easy but in seronegative and atypical cases with different clinical manifestations and MRI features the d...

Magnetic Resonance Imaging is one of the best technologies currently being used for diagnosing brain tumor. Brain tumor is diagnosed at advanced stages with the help of the MRI image. Segmentation is an important process to extract suspicious region from complex medical images. Intelligent system is designed to diagnose brain tumor through MRI using image processing algorithms such as Particle ...

Since the proposal of magnetic resonance imaging (MRI) in 1973, many researchers have been working on development clinical MRI systems. Currently, is a primary method medical and an essential tool brain science. Researchers from various scientific disciplines, such as mathematics, physics, information science, electronics, participated MRI, which has become one major achievements modern science...

Introduction: Multiple sclerosis (MS) is characterized by lesions in the white matter (WM) of the central nervous system. Magnetic resonance imaging is the most specific and sensitive method for diagnosis of multiple sclerosis. However, the ability of conventional MRI to show histopathologic heterogeneity of MS lesions is insufficient. Quantitative magnetization transfer imaging (qMTI) is a rel...

Abstract This chapter covers anisotropy in the context of probing microstructure human brain using single encoded diffusion MRI. We will start by illustrating how MRI is a perfectly adapted technique to measure water motion, followed biological presentation brain. The non-invasive imaging based on motions known as be further presented, along with difficulties that come it. Within this context, ...

conclusion a higher magnetic field strength and a decrease in the hr resulted in an increase in body temperature during the mri procedure. results our investigation of the physiological response to rf heating indicated a link between increasing age and body temperature. a higher increase in body temperature was observed in older patients after a 3.0-t mri (r = 0.07, p = 0.29 for 1.5-t mri; r = ...

this paper introduces a novel methodology for the segmentation of brain ms lesions in mri volumes using a new clustering algorithm named scpfcm.  scpfcm uses membership, typicality and spatial information to cluster each voxel. the proposed method relies on an initial segmentation of ms lesions in t1-w and t2-w images by applying scpfcm algorithm, and the t1 image is then used as a mask and is ...

<p><span>Brain magnetic resonance imaging (MRI) data is a hot topic in the domains of biomedical engineering and machine learning. Without locating anomalies, such as tumors edema, radiologists other medical experts cannot effectively recommend or administer therapy for patients. Having three different techniques (T1 weighted, T2 T3 weighted), MRI can produce detailed multimodal sca...

Radiology methods were believed to be used assess only structural changes in the brain. Therefore, for a long time, their use psychiatry was seen ineffective. However, subsequent development and emergence of new visualization techniques led appearance previously inaccessible opportunities. In modern psychiatric practice magnetic resonance imaging (MRI), taskbased functional MRI (fMRI) resting s...