MRI Magnetic Resonance Image
IJCSMC, Vol. 3, Issue. 3, March 2014, pg.1127 – 1132 REVIEW ARTICLE A Review on Novel Approach for MRI Image Detection using Kochanek-Bartels Splines with Masking Algorithm
... of image plays a very important role, it helps to save the image from the unauthorized ...attack. Image processing usually refers to digital image processing, but optical and analog ...
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Computer Aided Diagnosis For Stroke Patients Based On Difussion-Weighted Magnetic Resonance Images
... 2. The DWI samples are using diffusion-weighted parameter of b1000. The diffusion coefficient of b0, b500 and apparent diffusion coefficient (ADC) image as well as conventional MRI such as T1, T2 and proton ...
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Brain Lesion Classification Based On Statistical Discrimination For Magnetic Resonance Imaging (MRI) Image
... An MRI scan can be used as an extremely accurate method of disease detection throughout the body and is most often used after the other testing fails to provide sufficient information to confirm a patient's ...
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3D Volume Segmentation Techniques: A Survey
... Magnetic resonance imaging (MRI), computed tomography (CT), digital mammography, and other image acquiring systems provide 2D image slices for further segmentation and 3D volume ...the ...
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Multiple plexiform schwannomas in the plantar aspect of the foot: case report and literature review
... foot. Magnetic resonance image (MRI) demonstrates three solitary nodules of varying sizes in the deep soft tissue of the plantar aspect of the foot that are homogeneously isointense to ...
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NUCLEAR MAGNETIC RESONANCE IMAGING (MRI)
... prosthesis, Harrington rod, etc. also cause image artifacts 116 . It can be assumed that the role of Mill in diagnostic radiology is very bright in future. This technique has already been adopted by all the big ...
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Image processing in echography and MRI
... This work deals with image processing for three medical imaging applications: speckle detection in 3D ultrasound, left ventricle detection in cardiac magnetic resonance imaging MRI and f[r] ...
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Two Different Multi-Kernels for Fuzzy C-Means Algorithm for Medical Image Segmentation
... new image segmentation using multi-hyperbolic and multi-Gaussian kernel based fuzzy c-means algorithm (KFCM) is proposed for medical magnetic resonance image (MRI) ...
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Is There Relationship between Brain Atrophy and Higher Incidence of Hip Fracture in Old Age? A Preliminary Study
... anatomical lesion related to faller without neurologic prob- lems through imaging study such as computed tomography (CT) scan. Some authors have reported that there was little brain change in faller groups. However, ...
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Extraction of Sputum cells using Neural Network for Early Lung Cancer Detection
... Permanent magnetic Resonance Image resolution (MRI scan) along with Sputum Cytology ...beginning. Image running approaches supply a high quality instrument intended for bettering the ...
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Image Denoising Comparative Performance Using Independent Component Analysis for Medical Images
... the Magnetic Resonance Imaging ...the image acquisition process which degrades the quality of images, blurring boundaries and suppressing structural details, thus bring difficulties to medical ...
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A Novel Clustering and Classification based Approaches for Identifying Tumor in MRI Brain Images
... In image processing, image segmentation is one of the important tasks to extract information from the ...classification, image segmentation and target ...the image, which can be represented in ...
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1. Identification of mass of tissue growth in brain region under the framework of image segmentation
... Abstract-Magnetic resonance imaging (MRI) or magnetic resonance tomography (MRT) is a medical imaging technique used in radiology to image the anatomy and the physiological ...
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Ant Colony Optimization Based Algorithm For Detection Of Ovarian Tumour
... incompetent accuracy and rising processing time. In sequence overcome these constraints, it appears most absolutely necessary that the advanced methodology can be implemented to reduce time of processing, cost and ...
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Quantitative Analysis of Diffusion Weighted MR Images of Intracerebral Haemorrhage by Signal Intensity Gradient Technique
... - Magnetic Resonance Imaging (DW-MRI) presents a variation in the image signal intensity characteristics relative to the different stages of ICH and thus an increased understanding of the ...
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A GENERAL STUDY ON MRI SCAN FOR BRAIN TUMOR USING ARTIFICIAL NEURAL NETWORK
... uses magnetic fields and radio waves to view the structure of the ...uses magnetic field for ...Using Magnetic Resonance Imaging (MRI) ...
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Pre-processing of Mammogram Images
... CLAHE operates on small regions in the image called tiles rather than the entire image. Each tile’s contrast is enhanced, so that the histogram of the output region approximately matches the uniform ...
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DENDRIMER - FOR NOVEL DRUG DELIVERY SYSTEM- A REVIEW ARTICLEDr. N. Srinivas 1, Gk. Anusha*2, K. Malathi 3, A. Preetika Raj4DOWNLOAD/VIEW
... Peptide dendrimers can be used as drug delivery, contrast agents for magnetic resonance imaging (MRI), magnetic resonance angiography (MRA), fluorogenic imaging and se[r] ...
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Reversible splenial lesion syndrome associated with encephalitis/encephalopathy presenting with great clinical heterogeneity
... A 16-year-old boy with the complaints of fever and headache for 5 days, delirious behaviors for 3 days, and consciousness disturbance for 1 day was admitted to the hospital on February 12, 2014. The boy initially had ...
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Anatomical variations and dimensions of arteries in the anterior part of the circle of Willis
... the two larger ACAs. A majority of anatomic varia- tions have been observed in the ACoA section, char- acterised as anatomic complexity and diversity. The ACoA, A1 and A2 segments of ACA, and the recurrent artery of ...
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