Model-based reconstructive elasticity imaging of deep venous thrombosis
Model-based reconstructive elasticity imaging of deep venous thrombosis
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DOI：
10.1109/tuffc.2004.1320825
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发表时间：
2004-05-01
影响因子：
3.6
通讯作者：
Emelianov, SY
中科院分区：
文献类型：
--
作者：
Aglyamov, S;Skovoroda, AR;Emelianov, SY
深静脉血栓形成（DVT）及其后遗症肺栓塞是一个重要的临床问题。一旦检测到，DVT 治疗将根据血栓的年龄进行。然而，没有好的非侵入性方法来确定血栓年龄。之前，我们证明了内部机械应变成像可以识别并可能老化深静脉中的血栓。在本研究中，讨论了 DVT 弹性成像的变形几何结构及其对杨氏模量估计的影响。提出了一种基于模型的重建方法来估计弹性，其中将含有凝块的血管建模为分层圆柱体。与重建弹性成像中的无约束方法相比，所提出的基于模型的方法具有以下优点：仅使用应变张量的一个分量；最小化过程非常快；由于使用了正向弹性问题的解析解，该方法非常高效；而且该方法对外部载荷模式的细节不是很敏感，这一特性对于徒手、外部、表面施加的变形非常重要。该方法使用数值模型进行了理论上的测试，并在组织样体模和 DVT 动物模型上进行了实验。结果表明，弹性重建可能被证明是三重扫描的实用辅助手段，可用于检测、诊断和分期 DVT。
Deep venous thrombosis (DVT) and its sequela, pulmonary embolism, is a significant clinical problem. Once detected, DVT treatment is based on the age of the clot. There are no good noninvasive methods, however, to determine clot age. Previously, we demonstrated that imaging internal mechanical strains can identify and possibly age thrombus in a deep vein. In this study the deformation geometry for DVT elasticity imaging and its effect on Young's modulus estimates is addressed. A model-based reconstruction method is presented to estimate elasticity in which the clot-containing vessel is modeled as a layered cylinder. Compared to an unconstrained approach in reconstructive elasticity imaging, the proposed model-based approach has several advantages: only one component of the strain tensor is used; the minimization procedure is very fast; the method is highly efficient because an analytic solution of the forward elastic problem is used; and the method is not very sensitive to the details of the external load pattern-a characteristic that is important for free-hand, external, surface-applied deformation. The approach was tested theoretically using a numerical model, and experimentally on both tissue-like phantoms and an animal model of DVT. Results suggest that elasticity reconstruction may prove to be a practical adjunct to triplex scanning to detect, diagnose, and stage DVT.