Computational biomechanics for image-guided neurosurgery

图像引导神经外科的计算生物力学

• 批准号: LX0774754
• 负责人: Prof Karol Miller
• 金额: $ 3.71万
• 依托单位: The University of Western Australia
• 依托单位国家: 澳大利亚
• 项目类别: Linkage - International
• 财政年份: 2006
• 资助国家: 澳大利亚
• 起止时间: 2006-12-31 至 2010-06-30
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/LX0774754
• 关键词: Computational; biomechanics; image; guided; neurosurgery

Our results will lead to significant improvements to the efficacy and efficiency of image-guided neurosurgery for brain tumours. Visualisation of the intra-operative configuration of the patient's brain, obtained by sparse intra-operative MRI, merged with high resolution pre-operative imaging data will become possible. In current practice, the neurosurgeon must mentally fuse the information from pre-operative fMRI and DTI by projecting it through the 3D spatial and temporal changes the patient's brain has undergone. We propose to replace this mental fusion with computations based on the biomechanical model that will allow visualisation of the transformed pre-operative data matched to the current shape of the patient's brain.

我们的研究结果将显著提高图像引导神经外科治疗脑肿瘤的疗效和效率。通过稀疏的术中MRI获得的患者术中大脑结构的可视化，与高分辨率的术前成像数据合并将成为可能。在目前的实践中，神经外科医生必须通过投射患者大脑所经历的三维空间和时间变化，在心理上融合术前fMRI和DTI的信息。我们建议用基于生物力学模型的计算来取代这种心理融合，这将使转换后的术前数据可视化，与患者当前的大脑形状相匹配。