A probabilistic neural twin for treatment planning in peripheral pulmonary artery stenosis.
A probabilistic neural twin for treatment planning in peripheral pulmonary artery stenosis.
复制标题
用于外周肺动脉狭窄治疗计划的概率神经双胞胎。
DOI：
10.1002/cnm.3820
复制
发表时间：
2024
影响因子：
2.1
通讯作者：
Schiavazzi,DanieleE
中科院分区：
文献类型：
--
作者：
Lee,JohnD;Richter,Jakob;Pfaller,MartinR;Szafron,JasonM;Menon,Karthik;Zanoni,Andrea;Ma,MichaelR;Feinstein,JeffreyA;Kreutzer,Jacqueline;Marsden,AlisonL;Schiavazzi,DanieleE
到目前为止，数值血流动力学中高保真模型的大量计算成本使其主要用于离线治疗计划。用于快速代理建模的数据驱动架构和优化技术的新突破为克服这些限制提供了令人兴奋的机会，使此类技术能够用于时间关键型决策。我们讨论了通过经导管肺动脉康复或手术修复周围性肺动脉疾病多发性狭窄的应用，其中感兴趣的是在肺动脉树的特定位置实现所需的压力和流量，同时最大限度地降低患者的风险。由于在治疗过程中可以在实践中获得不同程度的成功，因此我们将问题用概率表示，并通过基于样本的方法解决它。我们提出了一种新的离线-在线管道，用于概率性真实的-时间治疗计划，其结合了边界条件的离线同化、模型简化和训练数据集生成，以及边缘概率的在线估计，可能以在已经修复的病变中观察到的增强程度为条件。此外，我们提出了一种新的方法，通过零维近似的迭代校正参数化任意形状的血管修复。我们通过血管模型库展示了肺动脉树的患病模型的管道。
The substantial computational cost of high‐fidelity models in numerical hemodynamics has, so far, relegated their use mainly toofflinetreatment planning. New breakthroughs in data‐driven architectures and optimization techniques for fast surrogate modeling provide an exciting opportunity to overcome these limitations, enabling the use of such technology for time‐critical decisions. We discuss an application to the repair of multiple stenosis in peripheral pulmonary artery disease through either transcatheter pulmonary artery rehabilitation or surgery, where it is of interest to achieve desired pressures and flows at specific locations in the pulmonary artery tree, while minimizing the risk for the patient. Since different degrees of success can be achieved in practice during treatment, we formulate the problem in probability, and solve it through a sample‐based approach. We propose a new offline–online pipeline for probabilistic real‐time treatment planning which combinesofflineassimilation of boundary conditions, model reduction, and training dataset generation withonlineestimation of marginal probabilities, possibly conditioned on the degree of augmentation observed in already repaired lesions. Moreover, we propose a new approach for the parametrization of arbitrarily shaped vascular repairs through iterative corrections of a zero‐dimensional approximant. We demonstrate this pipeline for a diseased model of the pulmonary artery tree available through the Vascular Model Repository.