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通过交互式逆向模拟进行配准:在自适应放射治疗中的应用

Registration by interactive inverse simulation: application for adaptive radiotherapy.

作者信息

Coevoet Eulalie, Reynaert Nick, Lartigau Eric, Schiappacasse Luis, Dequidt Jérémie, Duriez Christian

机构信息

Oscar Lambret Hospital, Lille, France,

出版信息

Int J Comput Assist Radiol Surg. 2015 Aug;10(8):1193-200. doi: 10.1007/s11548-015-1175-4. Epub 2015 Apr 7.

Abstract

PURPOSE

This paper introduces a new methodology for semi-automatic registration of anatomical structure deformations. The contribution is to use an interactive inverse simulation of physics-based deformable model, computed in real time.

METHODS

The method relies on nonlinear finite element method (FEM) within a constraint-based framework. Given a set of few registered points provided by the user, a real-time optimization adapts the boundary conditions and(/or) some parameters of the FEM in order to obtain the adequate geometrical deformations. To dramatically fasten the process, the method relies on a projection of the model in the space of the optimization variables. In this reduced space, a quadratic programming problem is formulated and solved very quickly. The method is validated with numerical examples for retrieving some unknown parameters such as the Young's modulus and some pressures on the boundaries of the model.

RESULTS

The approach is employed in the context of radiotherapy of the neck where weight loss during the 7 weeks of the therapy modifies the volume of the anatomical structures and induces large deformations. Indeed, sensitive structures such as the parotid glands may cross the target volume due to these deformations which leads to adverse effects for the patient. We thus apply the approach for the registration of the parotid glands during the radiotherapy of the head and neck cancer.

CONCLUSIONS

The results show how the method could be used in a clinical routine and be employed in the planning in order to limit the radiations of these glands.

摘要

目的

本文介绍一种用于解剖结构变形半自动配准的新方法。其贡献在于使用基于物理的可变形模型的交互式逆模拟,并实时计算。

方法

该方法依赖于基于约束框架内的非线性有限元方法(FEM)。给定用户提供的一组少量配准点,实时优化调整边界条件和/或有限元方法的一些参数,以获得适当的几何变形。为了显著加快该过程,该方法依赖于在优化变量空间中对模型的投影。在这个简化空间中,制定并快速求解一个二次规划问题。该方法通过数值示例进行验证,以检索一些未知参数,如杨氏模量和模型边界上的一些压力。

结果

该方法应用于颈部放疗的背景下,在7周的治疗过程中体重减轻会改变解剖结构的体积并引起大的变形。实际上,由于这些变形,诸如腮腺等敏感结构可能会穿过靶体积,这会给患者带来不良影响。因此,我们将该方法应用于头颈癌放疗期间腮腺的配准。

结论

结果表明该方法如何可用于临床常规并应用于规划中,以限制这些腺体的辐射。

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