Magnetic resonance imaging is the best imaging modality for the brain and spine. Quality of the received images depends on many technical factors. The most significant factors are: positioning the patient, proper coil selection, selection of appropriate sequences and image planes. The present contrast between different tissues provides an opportunity to diagnose various lesions. In many clinics...

background: volume estimation of brain is important for many neurological applications. it is necessary in measuring brain growth and changes in brain in normal/abnormal patients. thus, accurate brain volume measurement is very important. magnetic resonance imaging (mri) is the method of choice for volume quantification due to excellent levels of image resolution and between-tissue contrast. st...

We report two patients of diabetic nonketotic hyperosmolar state presenting acutely with "self-limiting hemichorea - hemiballismus" and "generalized convulsive status epilepticus". CT scan in both the patients revealed a hyperdense nonenhancing basal ganglia. Magnetic resonance imaging brain of patient 1 showed it to be hyperintense on T1W image and iso-hyper intense on T2W image, minimally enh...

     Multiple sclerosis (MS) is an inflammatory, demyelinating, neurodegenerative disorder of the central nervous system (CNS) of unknown etiology. Isolated oculomotor nerve palsy is found rarely in children with MS. We present a case of MS in 10-year-old boy, who had bilateral ptosis associated with medial gaze restriction. The extraocular muscle examination demonstrated bilateral adduction pa...

background: accurate brain tissue segmentation from magnetic resonance (mr) images is an important step in analysis of cerebral images. there are software packages which are used for brain segmentation. these packages usually contain a set of skull stripping, intensity non-uniformity (bias) correction and segmentation routines. thus, assessment of the quality of the segmented gray matter (gm), ...

Acute disseminated encephalomyelitis (ADEM) is a monophasic clinical syndrome, characterized by immune-mediated demyelination of central nervous system neurons, which yield extensive damage in the brain and spinal cord.It usually affects children and young adults following infections or immunization. Here we describe a 9- year-old Fars female presented with acute onset of psychotic disorder, o...

Image segmentation is the foremost process in medical image processing. It aids the diagnostic and clinical analysis of MRI (Magnetic Resonance Imaging) images that were acquired through the most complex procedures of medical diagnostics. The earliest soft computing techniques in segmenting images were carried out through Fuzzy C-Means (FCM) and similar extensions of various clustering algorith...

In this paper, we propose a novel intensity-based similarity measure for medical image registration. Traditional intensity-based methods are sensitive to intensity distortions, contrast agent and noise. Although residual complexity can solve this problem in certain situations, relative modification of the parameter can generate dramatically different results. By introducing a specifically desig...

Magnetic resonance imaging (MRI) of the brain is a precious tool to facilitate physician’s diagnoses and care for a mixture of brain diseases including stroke, cancer, and epilepsy. It presents exact information to discover the diseases. Histogram equalization is one of the important steps in image enhancement technique for MRI. This paper compares different methods like Brightness Preserving B...

Background: Volume estimation of brain is important for many neurological applications. It is necessary in measuring brain growth and changes in brain in normal/abnormal patients. Thus, accurate brain volume measurement is very important. Magnetic resonance imaging (MRI) is the method of choice for volume quantification due to excellent levels of image resolution and between-tissue contrast. St...