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Informations générales |
| Auteur |
Duanduan Chen, et al. |
| Publié |
InTech Open Access Publisher, 2013
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| Abstract |
Aortic dissection is the result of blood intruding
into the layers of the aortic wall creating a duplicate
channel along the aortic course. This considerably changes
aortic morphology and thereby alters blood flow, inducing
severe pathological conditions. Endovascular stent‐graft
placement has become an accepted treatment option for
complicated Stanford type B aortic dissection. Stent‐graft
deployment aims to cover the primary entry, preventing
most of the inflow to the false lumen, thereby promoting
false lumen thrombosis and true lumen expansion. In
recent years the application of this treatment has increased
continuously. However, a fast and reasonable prediction
for the released stent‐graft and the resulting aortic
remodelling prior to intervention is still lacking. In this
paper, we propose a preliminary study on the fast virtual
stent‐graft deployment algorithm based on contact
mechanics, spring analogy and deformable meshes. By
virtually releasing a stent‐graft in a patient‐specific model
of an aortic dissection type Stanford B, we simulate the
interaction between the expanding stent‐graft and the
vessel wall (with low computational cost), and estimate the
post‐interventional configuration of the true lumen. This
preliminary study can be finished within minutes and the
results present good consistency with the postinterventional
computed tomography angiography. It
therefore confirms the feasibility and rationality of this
algorithm, encouraging further research on this topic,
which may provide more accurate results and could assist
in medical decision‐making. |
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International Journal of Advanced Robotic Systems
Auteur: Ottaviano, Erika; Ceccarelli, Marco; Husty, Manfred; Yu, Sung-Hoon; Kim, Yong-Tae; Park, Chang-Woo; Hyun, Chang-Ho; Chen, Xiulong; Feng, Weiming; Sun, Xianyang; Gao, Qing; Grigorescu, Sorin M.; Pozna, Claudiu; Liu, Wanli; Zhankui, Wang; Guo, Meng; Fu, Guoyu; Zhang, Jin; Chen, Wenyuan; Peng, Fengchao; Yang, Pei; Chen, Chunlin; Ding, Rui; Yu, Junzhi; Yang, Qinghai; Tan, Min; Polden, Joseph; Pan, [...]
Publié: 2004
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