نتایج جستجو برای: brain magnetic resonance image

تعداد نتایج: 1182367  

Journal: :international journal of pediatrics 0
mansour zabihzadeh department of medical physics and department of clinical oncology, faculty of medicine, golestan hospital, ahvaz jundishapur university of medical sciences, ahvaz, iran. morteza pishghadam department of medical physics, faculty of medicine, ahvaz jundishapur university of medical sciences, ahvaz, iran. kamran kazemi department of electrical and electronics engineering, shiraz university of technology, shiraz, iran. sirous nekooi department of radiology, faculty of medicine, mashhad university of medical sciences, mashhad, iran. mohamad javad tahmasebi birgani department of medical physics, faculty of medicine, ahvaz jundishapur university of medical sciences, ahvaz, iran. farrokh seilanian-toosi department of radiology, faculty of medicine, mashhad university of medical sciences, mashhad, iran.

background access to appropriate images of fetal brain can greatly assist to diagnose of probable abnormalities. the aim of this study was to compare the suitability of t2-true fast imaging with steady state free precession (t2-trufi), and t2-half-fourier acquisition single-shot turbo spin-echo (t2- haste( magnetic resonance imaging (mri) to extract the fetal brain using the level set algorithm...

Alia Saberi, Amirreza Ghayeghran, Mozaffar Hosseininezhad, Samaneh Kazemi, Seyed-Ali Roudbary,

Introduction: Bacterial meningitis is an acute infectious inflammation of the protective membranes covering the brain. Its early diagnosis is vital because of its high morbidity and mortality. It is mostly diagnosed by a gold standard diagnostic tool i.e. Cerebrospinal Fluid (CSF) analysis. However, it is sometimes difficult and or impossible to do this procedure and an alternative diagnostic t...

Introduction: Brain tumors such as glioma are among the most aggressive lesions, which result in a very short life expectancy in patients. Image segmentation is highly essential in medical image analysis with applications, particularly in clinical practices to treat brain tumors. Accurate segmentation of magnetic resonance data is crucial for diagnostic purposes, planning surgical treatments, a...

Journal: :iranian journal of medical sciences 0
hamid noshad department of nephrology, sina hospital, tabriz university of medical sciences, tabriz, iran mehrzad hajialilo department of rheumatology, imam reza hospital, tabriz university of medical sciences, tabriz, iran reza mohammadian department of interventional neurology, tabriz university of medical sciences, tabriz, iran ali reza khabbazi department of rheumatology, imam reza hospital, tabriz university of medical sciences, tabriz, iran mohammad hossein daghighi department of radiology, tabriz university of medical sciences, tabriz, iran parviz saleh department of infectious disease, tabriz university of medical sciences, tabriz, iran

a 20-year-old woman was admitted to a gynecology hospital in her 6th month of pregnancy for high blood pressure and tonic-clonic seizure. primary diagnosis was eclampsia, and for that reason she underwent cesarean section. she also had headache on frontal and parietal areas without nausea or vomiting. there was not a focal neurological sign. rheumatology consultation was requested. systemic lup...

Journal: :Biomedical Journal of Scientific and Technical Research 2023

An image of increased signal intensity on T2-weighted images in the central area globus pallidus (caused by necrosis and edema) surrounded a zone reduced (representing iron deposits) brain magnetic resonance is called eye tiger sign.

Background Access to appropriate images of fetal brain can greatly assist to diagnose of probable abnormalities. The aim of this study was to compare the suitability of T2-True Fast Imaging with Steady State Free Precession (T2-TRUFI), and T2-Half-Fourier Acquisition Single-Shot Turbo Spin-Echo (T2- HASTE( magnetic resonance imaging (MRI) to extract the fetal brain using the level set algorithm...

Introduction: Brain tumors such as glioma are among the most aggressive lesions, which result in a very short life expectancy in patients. Image segmentation is highly essential in medical image analysis with applications, particularly in clinical practices to treat brain tumors. Accurate segmentation of magnetic resonance data is crucial for diagnostic purposes, planning surgical treatments, a...

Journal: :International Journal of Computer Applications 2010

Journal: :Soft Computing 2022

From the past decade, many researchers are focused on brain tumor detection mechanism using magnetic resonance images. The traditional approaches follow feature extraction process from bottom layer in network. This scenario is not suitable to medical To address this issue, proposed model employed Inception-v3 convolution neural network which a deep learning mechanism. extracts multi-level featu...

2012
Xiaowei Tong Jie Han

Compressed sensing and magnetic resonance imaging are hot topics in the field of signal processing. In this study we introduced in Lustig’s variable density sampling method, integrated it to compressed sensing, and applied it to brain MRI acquisition. The realistic experiment shows the variable density sampling recovery better than traditional random sampling method on a 256x256 brain magnetic ...

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