Magnetic Resonance Imaging (MRI) is a versatile imaging technique that allows probing of the various properties of the soft-tissue within the body of living organisms and has been widely used for diagnostic as well as research purposes. MRI has been very useful for studying the brain as it provides an exceptional ability to study structural, functional and dynamic properties in a non-invasive f...

The brain tumor segmentation on MRI images is a very difficult and important task which is used in surgical and medical planning and assessments. If experts do the segmentation manually with their own medical knowledge, it will be time-consuming. Therefore, researchers propose methods and systems which can do the segmentation automatically and without any interference. In this article, an unsup...

3Professor, Department of ECE, AU, Vishakapatnam, Andhra Pradesh, India AbstractIn this paper, an efficient technique is proposed for the precise segmentation of normal and pathological tissues in the MRI brain images. The proposed segmentation technique initially performs classification process by utilizing Fuzzy Inference System (FIS) and FFBNN. Both classifiers are utilizing the extracted im...

epilepsy is an important disease with a cumulative incidence of 3% all over the life and more than half of them are started from childhood. in this study we surveyed magnetic resonance imaging (mri) findings in epileptic children and its relation with clinical and demographic findings in order to find better diagnostic and treatment modalities for these children in the future. in this cross sec...

In Dynamic Contrast Enhanced Resonance Imaging (DCE-MRI), abdomen is scanned repeatedly and rapidly after injection of a contrast agent. During data acquisition, collected images suffer from the motion induced by the patient if he/she moves or breathes heavily during the scan. Therefore, these images should be aligned accurately to correct the motion. Recently, mutual information (MI) registrat...

The brain tumor segmentation on MRI images is a very difficult and important task which is used in surgical and medical planning and assessments. If experts do the segmentation manually with their own medical knowledge, it will be time-consuming. Therefore, researchers propose methods and systems which can do the segmentation automatically and without any interference. In this article, an unsup...

this case report presents an eight-year-old girl having periauricular swelling and severe pain during mouth opening on the right-side temporomandibular joint (tmj). cbct showed extensive destruction of the base of the skull and the roof of the glenoid fossa on the right side. the findings based on ct and mri images with and without contrast are discussed herein. this report highlights a skull b...

A 45-yr-old female patient was admitted with one-month history of headache and progressive left hemiparesis. Brain magnetic resonance imaging (MRI) demonstrated a mass lesion in her right frontal lobe. Her brain tumor was confirmed as a small cell glioblastoma. Her follow-up brain MRI, taken at 8 months after her initial surgery demonstrated tumor recurrence in the right frontal lobe. Contrast-...

The brain tumor is abnormal growth of cells inside skull which causes damage of the other cells necessary for functioning human brain. The brain tumor detection is challenging task due to complex structure of human brain. MRI images generated from MRI scanners using strong magnetic fields and radio waves to form images of the body which helps for medical diagnosis. This paper gives the overview...

Introduction: Glioma is the most common type of primary brain tumor that originates from glial tissues. These types of tumors have a high degree of malignancy and poor prognosis and low survival rates. The evaluation response to treatment is essential to decide whether present treatment is adequate or need for alternative therapy. The aim of this study was to evaluate the resp...