نتایج جستجو برای: brain magnetic resonance image

تعداد نتایج: 1182367  

Introduction: Segmentation of brain images especially from magnetic resonance imaging (MRI) is an essential requirement in medical imaging since the tissues, edges, and boundaries between them are ambiguous and difficult to detect, due to the proximity of the brightness levels of the images. Material and Methods: In this paper, the graph-base...

Journal: :acta medica iranica 0
"takavar a rad goodarzi m "

fue to the importance of selecting imaging parameters in magnetic resonance brain angiography, this study was carried out to choose optimum theoretical and experimental parameters for improving image controast and resolution and achieve shorter imaging time for practical reasons.a 1.5t super conductive magnet mri with gradient power of 13 nt/m and larmour frequency of 63 mhz with imaging coli o...

A Javadpour A Mohammadi,

Background: Regarding the importance of right diagnosis in medical applications, various methods have been exploited for processing medical images solar. The method of segmentation is used to analyze anal to miscall structures in medical imaging.Objective: This study describes a new method for brain Magnetic Resonance Image (MRI) segmentation via a novel algorithm based on genetic and regiona...

Journal: :journal of biomedical physics and engineering 0
s amiri department of medical physics and biomedical engineering, school of medicine, shiraz university of medical sciences, shiraz, iran mm movahedi department of medical physics and biomedical engineering, school of medicine, shiraz university of medical sciences, shiraz, iran k kazemi department of electrical and electronics engineering, shiraz university of technology, shiraz, iran h parsaei department of medical physics and biomedical engineering, school of medicine, shiraz university of medical sciences, shiraz, iran

background: brain tissue segmentation for delineation of 3d anatomical structures from magnetic resonance (mr) images can be used for neuro-degenerative disorders, characterizing morphological differences between subjects based on volumetric analysis of gray matter (gm), white matter (wm) and cerebrospinal fluid (csf), but only if the obtained segmentation results are correct. due to image arti...

Journal: :iranian journal of radiology 0
alireza rezvanizadeh department of radiology, faculty of medicine, tehran university of medical sciences, iran kavous firouznia department of radiology, faculty of medicine, tehran university of medical sciences, iran; eeva~wmentiognstioloo},ioue{wentioogmnwagmo ow} [msma{komgmn}ezo{qm}sm,cmx~e~,u~m~wsiuigrmtycon _gmmocmssciences, iran +98-21-66581579, [email protected]; eeva~wmentiognstioloo},ioue{wentioogmnwagmo ow} [msma{komgmn}ezo{qm}sm,cmx~e~,u~m~wsiuigrmtycon _gmmocmssciences, iran +98-21-66581579, [email protected] mohammad salehi-sadaghiani faculty of medicine, tehran university of medical sciences, iran meisam mohseni department of neurosurgery, faculty of medicine, tehran university of medical sciences, iran

background although magnetic resonance spectroscopy (mrs) has been shown as an effective diagnostic tool in distinguishing inflammation from neoplasm in cystic brain lesions, the optimum approach in selecting the portions of lesions in mrs and the possible effects of different times of echoes (tes) remains unknown. objectives to determine the most effective te in diagnosing neoplastic lesions b...

پایان نامه :وزارت بهداشت، درمان و آموزش پزشکی - دانشگاه علوم پزشکی و خدمات بهداشتی درمانی استان فارس - دانشکده دندانپزشکی 1380

چکیده ندارد.

Journal: :international clinical neurosciences journal 0
mohamad ali fazeli neurosurgery resident, shahid beheshti university of medical sciences, tehran, iran zahra janamiri student of medical imaging (mri), shahid beheshti university of medical sciences, tehran, iran alireza zali afsoun seddighi functional neurosurgery research center, shohada tajrish hospital, shahid beheshti university of medical sciences, tehran, iran amirsaeed seddighi functional neurosurgery research center, shohada tajrish hospital, shahid beheshti university of medical sciences, tehran, iran farzad ashrafi 1. functional neurosurgery research center, shohada tajrish hospital, shahid beheshti university of medical sciences, tehran, iran

purpose: to record the mri features of primary central nervous system lymphoma (pcnsl) and compare these properties in monofocal and multifocal disease. methods: eleven cases of monofocal disease were compared to 9 cases of multifocal disease. all patients were examined by non-enhanced and contrast-enhanced mri. tumor location, signal intensity, enhancement characteristics, age distribution, pe...

Journal: :iranian journal of pediatric hematology and oncology 0
shokoh taghipour zahir department of clinical and surgical pathology, shahid sadoughi university of medical sciences, yazd, iran mohammad rezaei sadrabadi medical student, shahid sadoughi university of medical sciences, yazd, iranسازمان اصلی تایید شده: دانشگاه علوم پزشکی شهید صدوقی یزد (shahid sadooghi university of medical sciences) f dehghani department of dermatology, shahid sadoughi university of medical sciences, yazd, iranسازمان اصلی تایید شده: دانشگاه علوم پزشکی شهید صدوقی یزد (shahid sadooghi university of medical sciences)

abstract background cerebral neoplasm arises from brain, spinal cord and meningeal cells. not only malignant cerebral neoplasm also benign tumor could lead to death due to mass effect on vital structures. access to these tumors is difficult, and mri and ct scan could be helpful in determining anatomical location of tumors and distinction of malignant from benign. objective for better and earlie...

Background: Brain tissue segmentation for delineation of 3D anatomical structures from magnetic resonance (MR) images can be used for neuro-degenerative disorders, characterizing morphological differences between subjects based on volumetric analysis of gray matter (GM), white matter (WM) and cerebrospinal fluid (CSF), but only if the obtained segmentation results are correct. Due to image arti...

Journal: :Physics World 2023

Researchers in the US have used magnetic resonance imaging (MRI) to create highest-resolution image of a mouse brain ever made.

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