Automatic Segmentation of Eight Tissue Classes in Neonatal Brain MRI
نویسندگان
چکیده
منابع مشابه
Automatic Segmentation of Eight Tissue Classes in Neonatal Brain MRI
PURPOSE Volumetric measurements of neonatal brain tissues may be used as a biomarker for later neurodevelopmental outcome. We propose an automatic method for probabilistic brain segmentation in neonatal MRIs. MATERIALS AND METHODS In an IRB-approved study axial T1- and T2-weighted MR images were acquired at term-equivalent age for a preterm cohort of 108 neonates. A method for automatic proba...
متن کاملAutomatic Segmentation of Neonatal Brain MRI
This paper describes an automatic tissue segmentation method for neonatal MRI. The analysis and study of neonatal brain MRI is of great interest due to its potential for studying early growth patterns and morphologic change in neurodevelopmental disorders. Automatic segmentation of these images is a challenging task mainly due to the low intensity contrast and the non-uniformity of white matter...
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Accurate automated image segmentation in neonates is challenging due to the lower contrast-to-noise ratio compared to adult scans, the partial volume effect and large anatomical variation. In this paper, we present a technique for brain segmentation into different tissues and structures of interest. Atlas priors and subject-specific tissue priors are used to initialize an ExpectationMaximizatio...
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Premature born infants carry a high risk for impaired neurodevelopment. Early identification of patients at risk for neurodevelopmental disabilities may lead to intervention programs improving longterm outcome. Cognitive outcome can not be predicted from visible abnormalities on T1weighted (T1) and T2-weighted (T2) MR imaging of the brain. It has been suggested that volumes of specific brain st...
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Volumetric measurements of neonatal brain tissue classes have been suggested as an indicator of long-term neurodevelopmental performance. To obtain these measurements, accurate brain tissue segmentation is needed. We propose a novel method for segmentation of axial neonatal brain MRI that combines multi-atlas-based segmentation and supervised voxel classification to segment eight different tiss...
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ژورنال
عنوان ژورنال: PLoS ONE
سال: 2013
ISSN: 1932-6203
DOI: 10.1371/journal.pone.0081895