OBJECTIVE Cochlear implants (CIs) are standard treatment for postlingually deafened individuals and prelingually deafened children. This human cadaver study evaluated diagnostic usefulness, image quality and artifacts in 1.5T and 3T magnetic resonance (MR) brain scans after CI with a removable magnet. METHODS Three criteria (diagnostic usefulness, image quality, artifacts) were assessed at 1....

To improve the efficiency of brain image analysis, we propose a full-automatic method for extracting brain tissue from three-dimensional magnetic resonance imaging of T1-weighted data on the human head (brain tissue extraction method using erosion-dilation treatment [BREED]). The extraction processing is realized by combining signal intensity thresholding by means of the discriminant analysis m...

Different magnetic resonance imaging pulse sequences are used to generate image contrasts based on physical properties of tissues, which provide different and often complementary information about them. Therefore multiple image contrasts are useful for multimodal analysis of medical images. Often, medical image processing algorithms are optimized for particular image contrasts. If a desirable c...

Introduction: Despite growing interest in the use of magnetic resonance imaging (MRI) in the external radiotherapy design process (RT), Computer Tomography (CT) remains a gold standard and is regarded as a basic imaging modality in radiotherapy. MRI shows the high contrast in soft tissues without any radiation exposure to patients. As a result, MRI is used in functional tissue ...

1 Associate Professor & Research Scholar, Manonmanium Sundaranar University, Tirunelvel, India. 2 M.Phil. Research Scholar, Department Of Computer Science, PSG College Of Arts & Science, Coimbatore, India. _____________________________________________________________________________________ Abstract: Data Mining in Brain Imaging is an emerging field of high importance for providing prognosis, t...

Functional magnetic resonance imaging (fMRI) is recently developing as imaging modality used for mapping hemodynamics of neuronal and motor event related tissue blood oxygen level dependence (BOLD) in terms of brain activation. Image processing is performed by segmentation and registration methods. Segmentation algorithms provide brain surface-based analysis, automated anatomical labeling of co...

Brain tumor is an abnormal growth of cells, reproducing themselves in an uncontrolled manner. In medical image processing the data is too much for manual interpretation and analysis, thus the accurate detection of location and size plays a very important role in diagnosis of brain tumor. Magnetic Resonance Imaging (MRI) and Computed Tomography (CT scan) are the most widely used techniques for d...

Background: Carbon monoxide (CO) poisoning may lead to hypoxic/anoxic injury and eventually ischemic encephalopathy. Magnetic resonance imaging (MRI) has a well-recognized role in assessment of the severity of brain damage caused by CO poisoning. In this study, we aimed to present and analyze the structural abnormalities in the brain MRI and especially in diffusion weighted MRI (DWI) images in ...

We propose a metamorphic geodesic regression approach approximating spatial transformations for image time-series while simultaneously accounting for intensity changes. Such changes occur for example in magnetic resonance imaging (MRI) studies of the developing brain due to myelination. To simplify computations we propose an approximate metamorphic geodesic regression formulation that only requ...