Development of a Customizable Hepatic Arterial Tree and Particle Transport Model for Use in Treatment Planning.

Development of a Customizable Hepatic Arterial Tree and Particle Transport Model for Use in Treatment Planning.
复制标题

DOI:
10.1109/trpms.2018.2842463
复制
发表时间:
2019-01
影响因子:
4.4
通讯作者:
Frey EC
Frey EC
中科院分区:
其他
文献类型:
--
作者:
Crookston NR;Fung GSK;Frey EC

文献摘要

参考文献

被引文献

相似文献

肝癌放射性栓塞的最佳治疗计划对肿瘤产生足够的剂量用于控制,对正常肝实质产生的剂量低于毒性阈值。由于不同的功能区域接受不同的剂量,肝脏显微解剖结构中颗粒的非均匀分布使规划过程复杂化。具有动脉树和微球捕获的现实的和患者特定的模型将有助于开发更优化的治疗计划。我们提出了一种基于宏细胞的生长方法来生成从肝固有动脉到供应实质中毛细血管的末端小动脉的肝动脉树模型。我们展示了这些树如何适应患者的压力,流量和血管直径值,同时仍然符合控制血管分叉,压力变化和血流的法律。我们还介绍了一种方法来模拟粒子运输的树,占血管和颗粒直径分布,并显示不均匀的微球沉积模式的结果。潜在的应用包括研究剂量异质性和微球沉积模式。
Optimal treatment planning for radioembolization of hepatic cancers produces sufficient dose to tumors for control and dose to normal liver parenchyma that is below the threshold for toxicity. The non-uniform distribution of particles in liver microanatomy complicates the planning process as different functional regions receive different doses. Having realistic and patient-specific models of the arterial tree and microsphere trapping would be useful for developing more optimal treatment plans. We propose a macrocell-based growth method to generate models of the hepatic arterial tree from the proper hepatic artery to the terminal arterioles supplying the capillaries in the parenchyma. We show how these trees can be adapted to match patient values of pressure, flow, and vessel diameters while still conforming to laws controlling vessel bifurcation, changes in pressure, and blood flow. We also introduce a method to model particle transport within the tree that accounts for vessel and particle diameter distributions and show the non-uniform microsphere deposition pattern that results. Potential applications include investigating dose heterogeneity and microsphere deposition patterns.
DOI: 10.1186/s40658-015-0113-4
发表时间: 2015-12
期刊: EJNMMI physics
影响因子: 4
作者:
Högberg J;Rizell M;Hultborn R;Svensson J;Henrikson O;Mölne J;Gjertsson P;Bernhardt P
通讯作者: Bernhardt P
DOI: 10.1145/356859.356862
发表时间: 1981-01-01
期刊: COMPUTING SURVEYS
影响因子: --
作者:
SRIHARI, SN
通讯作者: SRIHARI, SN
DOI: 10.1007/s11517-008-0330-2
发表时间: 2008-05
影响因子: 3.2
作者:
Reneman, Robert S.;Hoeks, Arnold P. G.
通讯作者: Hoeks, Arnold P. G.
DOI: 10.1152/ajpheart.1979.237.4.h469
发表时间: 1979-01-01
影响因子: --
作者:
ARTS, T;KRUGER, RTI;RENEMAN, RS
通讯作者: RENEMAN, RS
DOI: 10.2967/jnumed.113.126839
发表时间: 2014-01-01
影响因子: 9.3
作者:
Walrand, Stephan;Hesse, Michel;Jamar, Francois
通讯作者: Jamar, Francois