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

机译:新生儿MR图像中基于亚体素脑轮廓提取的颗粒方法

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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 cerebrospinal 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-squarederror of 0.45 mm in comparison with the ground truth contour given by a physician.
机译:脑表面区域的精确测量将探讨评估脑病的新方法,因为大脑障碍将变形。通过计数分段区域的表面体素的数量来分割来自MR图像的脑区域的常规方法给出粗区域。相比之下,本文提出了一种用亚体素精度提取脑轮廓的新方法。新方法基于颗粒方法,并引入对应于脑脊液,灰质和白质对应的三种颗粒。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理轮廓相比,用0.45mm的根均线提取脑轮廓。

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