Paulsen K D, Miga M I, Kennedy F E, Hoopes P J, Hartov A, Roberts D W
Thayer School of Engineering, Dartmouth College, Hanover, NH 03755, USA.
IEEE Trans Biomed Eng. 1999 Feb;46(2):213-25. doi: 10.1109/10.740884.
Recent advances in the field of stereotactic neurosurgery have made it possible to coregister preoperative computed tomography (CT) and magnetic resonance (MR) images with instrument locations in the operating field. However, accounting for intraoperative movement of brain tissue remains a challenging problem. While intraoperative CT and MR scanners record concurrent tissue motion, there is motivation to develop methodologies which would be significantly lower in cost and more widely available. The approach we present is a computational model of brain tissue deformation that could be used in conjunction with a limited amount of concurrently obtained operative data to estimate subsurface tissue motion. Specifically, we report on the initial development of a finite element model of brain tissue adapted from consolidation theory. Validations of the computational mathematics in two and three dimensions are shown with errors of 1%-2% for the discretizations used. Experience with the computational strategy for estimating surgically induced brain tissue motion in vivo is also presented. While the predicted tissue displacements differ from measured values by about 15%, they suggest that exploiting a physics-based computational framework for updating preoperative imaging databases during the course of surgery has considerable merit. However, additional model and computational developments are needed before this approach can become a clinical reality.
立体定向神经外科领域的最新进展使得术前计算机断层扫描（CT）和磁共振（MR）图像与手术视野中的器械位置进行配准成为可能。然而，考虑脑组织的术中移动仍然是一个具有挑战性的问题。虽然术中CT和MR扫描仪可以记录同时发生的组织运动，但仍有动力去开发成本显著更低且更易于获得的方法。我们提出的方法是一种脑组织变形的计算模型，它可以与有限数量的同时获得的手术数据结合使用，以估计皮下组织运动。具体而言，我们报告了一个从固结理论改编而来的脑组织有限元模型的初步开发情况。对于所使用的离散化，二维和三维计算数学的验证显示误差为1%-2%。还介绍了在体内估计手术引起的脑组织运动的计算策略的经验。虽然预测的组织位移与测量值相差约15%，但它们表明在手术过程中利用基于物理的计算框架来更新术前成像数据库具有相当大的价值。然而，在这种方法成为临床现实之前，还需要进行额外的模型和计算开发。
