胎儿人脑早期形态弹性生长过程中局部体积变化的逆模型研究

Q3 Engineering Brain multiphysics Pub Date : 2021-01-01 DOI:10.1016/j.brain.2021.100023
Z. Wang , B. Martin , J. Weickenmeier , K. Garikipati
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引用次数: 11

摘要

我们采用数据驱动的方法来推断伴随胎儿人类大脑早期发育的局部体积变化。我们的方法使用胎儿脑图谱MRI数据的几何变化的代表性病例。利用形态弹性生长的非线性连续介质力学模型,反演了磁共振配准得到的形变,得到了形变梯度张量的场。我们的场反演采用直接和伴随相结合的方法来计算目标函数的梯度,同时受到形态弹性生长物理的约束。我们由此推断出一个服从形态弹性生长规律的生长变形梯度场。倒置生长变形梯度场驱动下的MRI数据与正演位移解之间的误差比参考位移小一个数量级以上,甚至可以更低。结果再现了胎儿大脑早期发育的三维生长,误差可控。我们的研究结果证实,早期生长主要是平面皮质扩张而不是厚度增加。意义声明我们工作的意义在于:•从MRI登记中推断胎儿大脑早期发育伴随的局部体积变化的数据驱动方法。•直接法和伴随法相结合,同时受形态弹性生长的物理约束进行优化。•以可控误差再现胎儿大脑早期发育过程中的三维生长。•据我们所知,这是形态弹性理论的第一个数据驱动证实,即早期生长主要是平面内皮层扩张而不是厚度增加。•据我们所知,这是第一个基于数据的形态弹性理论的证实,即早期生长呈放射状分布,沿脑室-皮层方向增加。
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An inverse modelling study on the local volume changes during early morphoelastic growth of the fetal human brain

We take a data-driven approach to deducing the local volume changes accompanying early development of the fetal human brain. Our approach uses fetal brain atlas MRI data for the geometric changes in representative cases. Using a nonlinear continuum mechanics model of morphoelastic growth, we invert the deformation obtained from MRI registration to arrive at a field for the growth deformation gradient tensor. Our field inversion uses a combination of direct and adjoint methods for computing gradients of the objective function while constraining the optimization by the physics of morphoelastic growth. We thus infer a growth deformation gradient field that obeys the laws of morphoelastic growth. The errors between the MRI data and the forward displacement solution driven by the inverted growth deformation gradient field are found to be smaller than the reference displacement by well over an order of magnitude, and can be driven even lower. The results thus reproduce the three-dimensional growth during the early development of the fetal brain with controllable error. Our findings confirm that early growth is dominated by in plane cortical expansion rather than thickness increase.

Statement of Significance

The points of significance of our work are:

  • A data-driven approach to deducing the local volume changes accompanying early development of the fetal human brain from MRI registration.

  • The combination of direct and adjoint methods while constraining the optimization by the physics of morphoelastic growth.

  • Reproduction of the three-dimensional growth during the early development of the fetal brain with controllable error.

  • To our knowledge, the first data-driven confirmation underlying the morphoelastic theory that early growth is dominated by in-plane cortical expansion rather than thickness increase.

  • To our knowledge, the first data-driven confirmation underlying the morphoelastic theory that early growth is radially distributed, increasing along the ventricular-cortical direction.

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来源期刊
Brain multiphysics
Brain multiphysics Physics and Astronomy (General), Modelling and Simulation, Neuroscience (General), Biomedical Engineering
CiteScore
4.80
自引率
0.00%
发文量
0
审稿时长
68 days
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