A voxelized model of direct infusion into the corpus callosum and hippocampus of the rat brain: model development and parameter analysis
A voxelized model of direct infusion into the corpus callosum and hippocampus of the rat brain: model development and parameter analysis
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DOI：
10.1007/s11517-009-0564-7
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发表时间：
2010-03-01
影响因子：
3.2
通讯作者：
Sarntinoranont, Malisa
中科院分区：
文献类型：
--
作者：
Kim, Jung Hwan;Mareci, Thomas H.;Sarntinoranont, Malisa
最近的实验研究表明，对流增强递送（CED）可用于在中枢神经系统（CNS）的大组织体积内运输大分子治疗药物。目前可用于预测大脑组织分布的工具有限。我们开发了一种体素化建模方法，其中中枢神经系统组织被建模为多孔介质，并使用扩散张量成像 (DTI) 在逐个体素的基础上半自动确定传输属性和解剖边界。通过使用这种方法，开发了大鼠大脑的 3D 细胞外运输模型。预测了 CED 后两个不同输注部位（胼胝体和海马）的大分子示踪剂分布。确定模型对输注参数、传输特性和建模参数变化的敏感性。预测的示踪剂分布对分割阈值、DTI 分辨率、组织孔隙率和输注部位的变化最敏感。这种基于 DTI 的体素化建模方法提供了一种潜在的快速估计 CED 传输的方法。
Recent experimental studies have shown convective-enhanced delivery (CED) to be useful for transporting macromolecular therapeutic agents over large tissue volumes in the central nervous system (CNS). There are limited tools currently available for predicting tissue distributions in the brain. We have developed a voxelized modeling methodology in which CNS tissues are modeled as porous media, and transport properties and anatomical boundaries are determined semi-automatically on a voxel-by-voxel basis using diffusion tensor imaging (DTI). By using this methodology, 3D extracellular transport models of the rat brain were developed. Macromolecular tracer distributions following CED in two different infusion sites (corpus callosum and hippocampus) were predicted. Sensitivity of models to changes in infusion parameters, transport properties, and modeling parameters was determined. Predicted tracer distributions were most sensitive to changes in segmentation threshold, DTI resolution, tissue porosity, and infusion site. This DTI-based voxelized modeling methodology provides a potentially rapid means of estimating CED transport.