Corpus callosum MR image classification
نویسندگان
چکیده
منابع مشابه
Corpus Callosum MR Image Classification
An approach to classifying magnetic resonance (MR) image data is described. The specific application is the classification of MRI scan data according to the nature of the corpus callosum, however the approach has more general applicability. A variation of the ‘‘spectral segmentation with multi-scale graph decomposition” mechanism is introduced. The result of the segmentation is stored in a quad...
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The frequency, distribution, and appearance of corpus callosum injuries were evaluated with MR and CT in a prospective study of 78 patients with acute (n = 63) and chronic (n = 15) head injuries. Traumatic lesions of the corpus callosum were detected in 47% of patients. MR was significantly (p less than .001) more sensitive than CT in the detection of callosal injuries. MR and CT visualized 100...
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Fetal sonography revealed cerebral, facial, and genitourinary abnormalities, prompting MR at 33 weeks' gestational age. Cerebral MR confirmed a thickened corpus callosum and showed open sylvian fissures, abnormal gyri in the frontal lobes, and presumed neuronal heterotopias. An abortion was performed at 34 weeks' gestational age, and pathologic findings corresponded well to the MR manifestations.
متن کاملAutomated Corpus Callosum Segmentation in Midsagittal Brain Mr Images
Corpus Callosum (CC) is an important white-matter structure in the human brain. Magnetic resonance imaging (MRI) is a non-invasive medical imaging technique that provides high resolution images for the structures. Segmentation is an important step in medical image analysis. This paper proposes a fully automated technique for segmentation of CC on the midsagittal slice of T1-weighted brain MR im...
متن کاملModel-Guided Segmentation of Corpus Callosum in MR Images
Magnetic resonance imaging (MRI) of the brain, followed by automated segmentation of the corpus callosum (CC) in midsagittal sections have important applications in both clinical neurology and neurocognitive research since the size and shape of the CC are shown to be correlated to sex, age, neurodegenerative diseases and various lateralized behavior in man. Moreover, whole head, multispectral 3...
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ژورنال
عنوان ژورنال: Knowledge-Based Systems
سال: 2010
ISSN: 0950-7051
DOI: 10.1016/j.knosys.2009.11.008