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Particle Method Based Sub-voxel Cerebral Contour Extraction in Neonatal MR images

机译:基于粒子法的新生儿MR图像亚体素脑轮廓提取

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Precise measurement of cerebral surface area will explores a new method for evaluating cerebral disorders because the cerebrum will be deformed by the cerebral disorders. Conventional methods for segmenting the cerebral region from MR images give coarse area by counting the number of the surface voxels of the segmented region. In contrast, this paper proposes a novel method for extracting cerebral contour with sub-voxel accuracy. The new method is based on particle method, and introduces three kinds of particles that are correspond to eerebrospinal fluid, gray matter and white matter. The proposed method was applied to neonatal MR images, and the experimental results validated that the cerebral contour was extracted with a root-mean-squared error of 0.45 mm in comparison with the ground truth contour given by a physician.
机译:精确测量大脑表面积将探索一种评估大脑疾病的新方法,因为大脑会因大脑疾病而变形。从MR图像分割大脑区域的常规方法通过计算分割区域的表面体素的数量来给出粗略的区域。相比之下,本文提出了一种以亚体素精度提取脑轮廓的新方法。该新方法基于粒子法,并引入了三种分别对应于脑脊髓液,灰质和白质的粒子。将该方法应用于新生儿MR图像,实验结果验证了与医生给出的地面真实轮廓相比,提取出的大脑轮廓的均方根误差为0.45 mm。

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