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MRI Simulation Study Investigating Effects of Vessel Topology Diffusion and Susceptibility on Transverse Relaxation Rates Using a Cylinder Fork Model

机译:MRI模拟研究使用圆柱叉模型研究血管拓扑扩散和磁化率对横向弛豫速率的影响

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摘要

Brain vasculature is conventionally represented as straight cylinders when simulating blood oxygenation level dependent (BOLD) contrast effects in functional magnetic resonance imaging (fMRI). In reality, the vasculature is more complicated with branching and coiling especially in tumors. Diffusion and susceptibility changes can also introduce variations in the relaxation mechanisms within tumors. This study introduces a simple cylinder fork model (CFM) and investigates the effects of vessel topology, diffusion, and susceptibility on the transverse relaxation rates R2* and R2. Simulations using Monte Carlo methods were performed to quantify R2* and R2 by manipulating the CFM at different orientations, bifurcation angles, and rotation angles. Other parameters of the CFM were chosen based on physiologically relevant values: vessel diameters (~2‒10 µm), diffusion rates (1 × 10−11‒1 × 10−9 m2/s), and susceptibility values (3 × 10−8–4 × 10−7 cgs units). R2* and R2 measurements showed a significant dependence on the bifurcation and rotation angles in several scenarios using different vessel diameters, orientations, diffusion rates, and susceptibility values. The angular dependence of R2* and R2 using the CFM could potentially be exploited as a tool to differentiate between normal and tumor vessels. The CFM can also serve as the elementary building block to simulate a capillary network reflecting realistic topological features.
机译:在功能磁共振成像(fMRI)中模拟血液氧合水平依赖性(BOLD)对比效应时,脑血管通常按直圆柱体表示。实际上,尤其在肿瘤中,脉管系统更易发生分支和盘绕。扩散和药敏性变化也可能导致肿瘤内松弛机制的变化。这项研究介绍了一个简单的圆柱叉模型(CFM),并研究了血管拓扑,扩散和磁化率对横向弛豫率R2 *和R2的影响。通过使用不同方向,分叉角和旋转角的CFM进行了使用蒙特卡洛方法的仿真,以量化R2 *和R2。根据生理相关值选择CFM的其他参数:血管直径(〜2‒10 µm),扩散速率(1×10 −11 ‒1×10 −9 m 2 / s)和磁化率值(3×10 -8 –4×10 -7 cgs单位)。在几种情况下,使用不同的容器直径,方向,扩散速率和磁化率值,R2 *和R2测量显示出对分叉角和旋转角的显着依赖性。使用CFM的R2 *和R2的角度依赖性可以潜在地用作区分正常血管和肿瘤血管的工具。 CFM还可以用作模拟反映实际拓扑特征的毛细管网络的基本构件。

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