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Brain morphometry using 3D moment invariants.

机译:使用3D不变矩的大脑形态测量。

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This paper advocates the use of shape descriptors based on moments of 3D coordinates for morphometry of the cortical sulci. These descriptors, which have been introduced more than a decade ago, are invariant relatively to rotations, translations and scale and can be computed for any topology. A rapid insight into the derivation of these invariants is proposed first. Then, their potential to characterize shapes is shown from a principal component analysis of the 12 first invariants computed for 12 different deep brain structures manually drawn for 7 different brains. Finally, these invariants are used to find some correlates of handedness and sex among the shapes of 116 different cortical sulci automatically identified in each of 142 brains of the ICBM database.
机译:本文主张使用基于3D坐标矩的形状描述符来描述皮层脑沟的形态。这些描述符已在十多年前推出,相对于旋转,平移和比例而言是不变的,可以针对任何拓扑进行计算。首先提出对这些不变量的推导的快速见解。然后,通过对为7个不同的大脑手动绘制的12个不​​同的深层大脑结构计算的12个第一不变式的主成分分析,显示了它们表征形状的潜力。最后,这些不变量用于在ICBM数据库的142个大脑中的每一个大脑中自动识别的116个不同皮质沟的形状之间找到一些手性和性别的相关性。

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