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基于混合可变形虚拟现实模型模拟的正常脑颅骨发育

Normal Brain-Skull Development with Hybrid Deformable VR Models Simulation.

作者信息

Jin Jing, De Ribaupierre Sandrine, Eagleson Roy

机构信息

Biomedical Engineering, Western University, London, Ontario, Canada.

出版信息

Stud Health Technol Inform. 2016;220:150-3.

Abstract

This paper describes a simulation framework for a clinical application involving skull-brain co-development in infants, leading to a platform for craniosynostosis modeling. Craniosynostosis occurs when one or more sutures are fused early in life, resulting in an abnormal skull shape. Surgery is required to reopen the suture and reduce intracranial pressure, but is difficult without any predictive model to assist surgical planning. We aim to study normal brain-skull growth by computer simulation, which requires a head model and appropriate mathematical methods for brain and skull growth respectively. On the basis of our previous model, we further specified suture model into fibrous and cartilaginous sutures and develop algorithm for skull extension. We evaluate the resulting simulation by comparison with datasets of cases and normal growth.

摘要

本文描述了一个用于涉及婴儿颅骨-脑共同发育的临床应用的模拟框架,从而形成了一个颅缝早闭建模平台。颅缝早闭是指一条或多条颅缝在生命早期融合,导致颅骨形状异常。需要通过手术重新打开颅缝并降低颅内压,但如果没有任何预测模型来辅助手术规划则会很困难。我们旨在通过计算机模拟研究正常的脑-颅骨生长,这需要一个头部模型以及分别用于脑和颅骨生长的适当数学方法。在我们之前模型的基础上,我们进一步将颅缝模型细化为纤维性和软骨性颅缝,并开发了颅骨扩展算法。我们通过与病例数据集和正常生长数据进行比较来评估所得的模拟结果。

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