Magnetic Resonance Image
Magnetic resonance image restoration
... We introduce a novel technique for Magnetic Resonance Image (MRI) restoration, using a phys- ical model (spin equation) and corresponding basis images.. We determine the basis images (pr[r] ...
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Automated cardiovascular magnetic resonance image analysis with fully convolutional networks
... Future research will explore developing more general- isable methods for analysing a wider range of CMR images, such as multi-site images acquired from different machines and using different imaging protocols, and inte- ...
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Image processing on medical application : automatic methods to calculate the area of articular cartilage on a magnetic resonance image
... Consider the sub-image S(x,y) (representing a column of matrix S) in Fig 3.6 (a), which is composed of light cartilage on dark background. Suppose we plot the gray values as we traverse the image along a ...
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A New Approach for Automatic Fuzzy Clustering Applied to Magnetic Resonance Image Clustering
... In this paper, we introduce a new validity index based on multi-degree entropy and a new validity function to obtain the cluster validity in the domain of image segmentation. The multi-degree entropy algorithm ...
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Independent Component Analysis for Magnetic Resonance Image Analysis
... unsuccessful results. It is generally known that no more than three diagnostic pulse sequences are usually used to acquire MR images. In this case, we are limited to only three spectral band images for MR multispectral ...
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Magnetic resonance image tissue classification using an automatic method
... Unlike SPM, FSL and our method, FreeSurfer is de- signed to segment between the brain structures (both cortical and sub-cortical) such as thalamus, hippocam- pus, etc. FreeSurfer extracts all structures in the brain ...
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Realizing the potential of magnetic resonance image guided radiotherapy in gynaecological and rectal cancer.
... Lower magnetic field solutions benefit from a reduction in image artifacts and patient related geometric distortion, and lower energy deposition by the radiofrequency ...
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Effect of slice thickness on brain magnetic resonance image texture analysis
... Texture analysis (TA) is based on the examination of spatial patterns in image inten- sity. Many widely used texture analysis techniques exist in several fields of science, engineering and medical sciences. They ...
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Cerebral magnetic resonance image synthesis
... In the current study, precise computations are performed to reproduce acquired images synthetically, to compare acquired and synthetic images both visually and numerically, and to genera[r] ...
5
A Survey on Magnetic Resonance Image Denoising Methods
... MRI image is commonly reconstructed by computing the inverse discrete Fourier transform of the raw ...MRI image is used for visual inspection and for automatic computer ...phase) image is a ...
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Statistical Methods for Magnetic Resonance Image Analysis with Applications to Multiple Sclerosis.
... The ground truth or ‘gold standard’ for identifying enhancing white matter lesions involves the manual comparison of pre- and post-contrast T1-weighted imaging conducted by an ex- pert neuroradiologist (Simon et al., ...
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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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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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Case Report Mandibular central leiomyosarcoma with high telomerase activity: a case report
... teoclastic lesion centering on the left mandibular retromolar area, with corti- cal bone destruction extending to the buccolingual side, and a soft tissue shadow extending into the surrounding area (arrow). C. Gadolinium ...
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EMERGENCY STATIONS IN THE GRAND MOSQUE OF MECCA AS AN APPLICATION FOR WIRELESS SENSOR NETWORKS
... to image the internal portion of the human body for medical ...from Magnetic Resonance Image Pre-processing the representation makes it ready for apply the Innovative watershed segmentation ...
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Computer Aided Diagnosis For Stroke Patients Based On Difussion-Weighted Magnetic Resonance Images
... brain, magnetic resonance image (MRI) and diffusion- weighted imaging (DWI), stroke lesion diagnosis, segmentation methods in image preprocessing and analysis, region of interest (ROI) and ...
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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 skeletal ...
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Title: Detection of WML in MRI Brain Images using Neuro-Fuzzy Inference System
... process. Image clustering and categorization is a means for high-level description of image ...the image archive as the entire image-set ...the image content that can be used for ...
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Intraoperative MRI-assisted neuro-port surgery for the resection of cerebral intraparenchymal cavernous malformation
... A postoperative MRI scan was performed 5 to 10 days after surgery for every patient. After postoperative MRI examination, the cases with DICOM image data were retained, and we calculated the tumor volume by 3DSli- ...
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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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