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Updated neuroimaging using intraoperative brain modeling and sparse data.

机译:使用术中大脑建模和稀疏数据更新了神经影像。

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摘要

A strategy to update preoperative imaging for image-guided surgery using readily available intraoperative information has been developed and implemented. A patient-specific three-dimensional finite element model of the brain is generated from preoperative MRI and used to simulate deformation resulting from multiple surgical processes. Intraoperatively obtained sparse imaging data, such as from digital cameras or ultrasonography, is then used to prescribe the displacement of selected points within the model. Interpolation to the resolution of preoperative imaging may then be performed based upon the model. The algorithms for generation of the finite element model and for its subsequent deformation have been successfully validated using a pig brain model, and preliminary clinical application in the operating room has demonstrated feasibility. Copyright 2000 S. Karger AG, Basel
机译:已经开发并实施了一种策略,该策略使用易于获得的术中信息为图像引导手术更新术前影像。根据术前MRI生成特定于患者的大脑三维有限元模型,并将其用于模拟多种手术过程导致的变形。然后使用术中获得的稀疏成像数据(例如从数码相机或超声检查中得到的数据)来规定模型中选定点的位移。然后可以基于模型对术前成像的分辨率进行插值。使用猪脑模型已成功验证了用于生成有限元模型及其后续变形的算法,并且在手术室中的初步临床应用证明了可行性。版权所有2000 S. Karger AG,巴塞尔

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