نتایج جستجو برای: mri images

تعداد نتایج: 352511  

Journal: :Japanese Journal of Radiological Technology 1995

2013
Indah Soesanti Thomas Sri Widodo

In this paper, a modified fuzzy c-means (FCM) clustering for medical image segmentation is presented. A conventional FCM algorithm does not fully utilize the spatial information in the image. In this research, we use a FCM algorithm that incorporates spatial information into the membership function for clustering. The spatial function is the summation of the membership function in the neighborh...

B. Shojaei D. Vosough, M. Molazem

The purpose of this study was to investigate magnetic resonance imaging (MRI) of the normal feline eyeand optic nerves using T1-weighted and T2-weighted images. A total of 6 healthy female domestic short haircats age 2-2.5 years and weighing 3.2 ± 0.4 kg were selected. Magnetic resonance imaging data werecollected using GEMSOW (Philips) at a magnetic field strength of 1.5 T. Dorsal, sagittal, a...

Journal: :iranian journal of veterinary research 2009
d. vosough b. shojaei m. molazem

the purpose of this study was to investigate magnetic resonance imaging (mri) of the normal feline eyeand optic nerves using t1-weighted and t2-weighted images. a total of 6 healthy female domestic short haircats age 2-2.5 years and weighing 3.2 ± 0.4 kg were selected. magnetic resonance imaging data werecollected using gemsow (philips) at a magnetic field strength of 1.5 t. dorsal, sagittal, a...

Journal: :iranian journal of fuzzy systems 2013
jamal ghasemi mohamad reza karami mollaei reza ghaderi ali hojjatoleslami hojjatoleslami

detection of brain tissues using magnetic resonance imaging (mri) is an active and challenging research area in computational neuroscience. brain mri artifacts lead to an uncertainty in pixel values. therefore, brain mri segmentation is a complicated concern which is tackled by a novel data fusion approach. the proposed algorithm has two main steps. in the first step the brain mri is divided to...

Detection of brain tissues using magnetic resonance imaging (MRI) is an active and challenging research area in computational neuroscience. Brain MRI artifacts lead to an uncertainty in pixel values. Therefore, brain MRI segmentation is a complicated concern which is tackled by a novel data fusion approach. The proposed algorithm has two main steps. In the first step the brain MRI is divided to...

Introduction: Non-uniformity is one of the most important parameters affecting MRI images which can lead to harmful effects in the diagnosis and analysis of qualitative and quantitative methods. The present study introduced a method for measuring RF non-homogeneity in MRI systems. Methods and Materials: To verify the uniformity of B0 and B1 fields, a cylindrical phantom with a diameter of 24 c...

Journal: :journal of biomedical physics and engineering 0
a javadpour neuroscience research center, baqiyatallah university of medical sciences, tehran, iran. a mohammadi neuroscience research center, baqiyatallah university of medical sciences, tehran, iran.سازمان اصلی تایید شده: دانشگاه علوم پزشکی بقیه الله (baqiyatallah university of medical sciences)

normal 0 false false false en-us x-none fa 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 ...

بابایی, محمد , حداد, پیمان , عقیلی, مهدی , علی‌خاصی, افسانه , فاضلی, محمد صادق , فرهان, فرشید , مداح صفایی, افسانه , میرایی آشتیانی, منیر سادات ,

Background: This study investigated compatibility between post chemoradiation magnetic resonance images and histologic findings after operation and chemoradiation in patients with locally advanced rectal cancer. Methods: In this prospective study, 63 patients referred to Cancer Institute of Emam Khomeini Hospital, Tehran, Iran, from October 2011 to October 2013 with locally advanced rectal c...

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