In the computer aided medical image process, image segmentation is always required as a preprocess stage. Fuzzy c-means (FCM) clustering algorithm has been commonly used in many medical image segmentations, particularly in the analysis of magnetic resonance (MR) brain image. However, all of these FCM methods are computation consuming that is difficult to be used in real time application. In the...

(Nuclear) Magnetic Resonance ((N)MR) is a non-invasive technique that has been used to acquire spatially resolved images of living organisms and to monitor changes in the metabolism. An application of clinical MR is MR spectroscopy (MRS) in which chemical information can be obtained from a well-defined region in for example the human brain. The parameters of the MRS signal provide direct inform...

in this paper, we present a new brain tissue segmentation method based on a hybrid hierarchical approach that combines a brain atlas as a priori information and a least-square support vector machine (ls-svm). the method consists of three steps. in the first two steps, the skull is removed and cerebrospinal fluid (csf) is extracted. these two steps are performed using the fast toolbox (fmrib's a...

background: accurate brain tissue segmentation from magnetic resonance (mr) images is an important step in analysis of cerebral images. there are software packages which are used for brain segmentation. these packages usually contain a set of skull stripping, intensity non-uniformity (bias) correction and segmentation routines. thus, assessment of the quality of the segmented gray matter (gm), ...

Free AccessImportant Keywordshttps://doi.org/10.14220/9783737013444.259SectionsPDF/EPUB ToolsAdd to favoritesDownload CitationsTrack Citations ShareShare onFacebookTwitterLinkedInRedditEmail About Previous chapter Next FiguresReferencesRelatedDetails Download book coverOsnabrücker Studien zur Jüdischen und Christlichen Bibel.Volume 8 1st editionISBN: 978-3-8471-1344-7 eISBN: 978-3-7370-1344-4Hi...

Radiology methods were believed to be used assess only structural changes in the brain. Therefore, for a long time, their use psychiatry was seen ineffective. However, subsequent development and emergence of new visualization techniques led appearance previously inaccessible opportunities. In modern psychiatric practice magnetic resonance imaging (MRI), taskbased functional MRI (fMRI) resting s...

Magnetic resonance imaging (MRI) is a powerful tool for clinical diagnosis because it allows to distinguish different tissues and allows multiple modalities (T1, T2, ...) each having particular properties. In this work, the segmentation of MR Brain images is considered as an optimization problem and solved using evolutionary algorithms: particle swarm optimization (PSO) and differential evoluti...

Brain tumor detection is well known research area for both medical as well as computer scientists. In last two decades there has been much research done on tumor detection, segmentation, & classification but still there is no complete automated system developed yet. As we know Brain Tumor is one of the deadliest diseases at present which is only curable in its early stages. The paper proposes a...