We purpose a hybrid approach for classification of brain tissues in magnetic resonance images (MRI) based on genetic algorithm (GA) and support vector machine (SVM). A wavelet based texture feature set is derived. The optimal texture features are extracted from normal and tumor regions by using spatial gray level dependence method (SGLDM). These features are given as input to the SVM classifier...

This study presents a novel automatic approach for the identification of anatomical brain structures in magnetic resonance images (MRI). The method combines a fast multiscale multi-channel three dimensional (3D) segmentation algorithm providing a rich feature vocabulary together with a support vector machine (SVM) based classifier. The segmentation produces a full hierarchy of segments, express...

Background: Multiple Sclerosis (MS) syndrome is a type of Immune-Mediated disorder in the central nervous system (CNS) which destroys myelin sheaths, and results in plaque (lesion) formation in the brain. From the clinical point of view, investigating and monitoring information such as position, volume, number, and changes of these plaques are integral parts of the controlling process this dise...

Proton magnetic resonance spectroscopy, diffusion-weighted axonography, and diffusion tensor tractography in a patient with tumefactive demyelination plaque (TDP) were evaluated for differential diagnosis from glioblastoma. The findings of glutamate and glutamine elevations on magnetic resonance spectroscopy and apparent tracts within the lesion on axonography and tractography were unlikely to ...

Glioblastoma multiforme (GBM) is a malignant adult brain tumor that visualized as an enhancing lesion on post-contrast magnetic resonance imaging (MRI). In this study, we present rare case of non-enhancing GBM required histopathological examination for definitive diagnosis. Our findings emphasize the critical role biopsy in diagnosis and treatment GBMs, particularly cases lesions MRI.

Glioblastoma multiforme is the most common and most lethal pri- mary malignant tumor of the central nervous system. It can develop as a primary tumor or by transformation from its precursor--anaplastic astrocytoma which occurs less frequently but the prognosis is also unfavorable. Authors report a case of a 36-year-old man with "astrocytoma malignum in glioblastoma multiforme vertens" in the le...

UNLABELLED INTRODUCTION Cerebellar glioblastoma is an uncommon adult lesion. The pathogeny and prognosis of cerebellar glioblastoma are still incompletely elucidated. CASE PRESENTATION We report the case of a 19-year-old Moroccan woman. A neurologic examination revealed the presence of cerebellar signs. A diagnosis of cerebellar glioblastoma is rarely made before surgery. An encephalic com...

It is of key importance to be able to evaluate the temporal changes seen in multiple sclerosis (MS) lesions in terms of location, shape, and area for estimating MS progression. The purpose of our study was to develop an automated method for detecting potential MS regions based on three types of brain magnetic resonance (MR) images: T1- and T2-weighted images, and fluid attenuated inversion-reco...

A tumor classification system has been designed and developed. It is used to classify five different types of tumors such as glioblastoma multiforme, astrocytoma, metastatic, glioma and pituitary macro. The magnetic resonance feature images used for the tumor classification consist of T1-weighted images with contrast for each axial slice through the head. The magnetic resonance imaging has beco...