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经心尖主动脉瓣植入术中主动脉瓣假体的追踪。

Aortic valve prosthesis tracking for transapical aortic valve implantation.

机构信息

Innovation Center Computer Assisted Surgery, Universität Leipzig, Semmelweisstrasse 14, 04103 Leipzig, Germany.

出版信息

Int J Comput Assist Radiol Surg. 2011 Sep;6(5):583-90. doi: 10.1007/s11548-010-0533-5. Epub 2010 Sep 16.

DOI:10.1007/s11548-010-0533-5
PMID:20845084
Abstract

PURPOSE

Transapical aortic valve implantation (TA-AVI) is a new minimally invasive surgical treatment of aortic stenosis for high-risk patients. The placement of aortic valve prosthesis (AVP) is performed under 2D X-ray fluoroscopic guidance. Difficult clinical complications can arise if the implanted valve is misplaced. Therefore, we present a method to track the AVP in 2D X-ray fluoroscopic images in order to improve the accuracy of the TA-AVI.

METHODS

The proposed tracking method includes the template matching approach to estimate the position of AVP and a shape model of the prosthesis to extract the corner points of the AVP in each image of sequence. To start the AVP tracking procedure, an initialization step is performed by manually defining the corner points of the prosthesis in the first image of sequence to provide the required algorithm parameters such as the AVP model parameters.

RESULTS

We evaluated the AVP tracking method on six 2D intra-operative fluoroscopic image sequences. The results of automatic AVP localization agree well with manually defined AVP positions. The maximum localization errors of tracked prosthesis are less than 1 mm and within the clinical accepted range.

CONCLUSIONS

For assisting the TA-AVI, a method for tracking the AVP in 2D X-ray fluoroscopic image sequences has been developed. Our AVP tracking method is a first step toward automatic optimal placement of the AVP during the TA-AVI.

摘要

目的

经心尖主动脉瓣植入术(TA-AVI)是一种治疗高危患者主动脉瓣狭窄的新型微创外科治疗方法。主动脉瓣假体(AVP)的放置是在二维 X 射线荧光透视引导下进行的。如果植入的瓣膜位置不当,可能会出现困难的临床并发症。因此,我们提出了一种在二维 X 射线荧光透视图像中跟踪 AVP 的方法,以提高 TA-AVI 的准确性。

方法

所提出的跟踪方法包括模板匹配方法来估计 AVP 的位置和假体的形状模型,以提取序列中每个图像中 AVP 的角点。为了开始 AVP 跟踪过程,通过手动在序列中的第一幅图像中定义假体的角点来执行初始化步骤,以提供所需的算法参数,例如 AVP 模型参数。

结果

我们在六个二维术中荧光透视图像序列上评估了 AVP 跟踪方法。自动 AVP 定位的结果与手动定义的 AVP 位置非常吻合。跟踪假体的最大定位误差小于 1 毫米,在临床可接受的范围内。

结论

为了辅助 TA-AVI,已经开发了一种在二维 X 射线荧光透视图像序列中跟踪 AVP 的方法。我们的 AVP 跟踪方法是在 TA-AVI 期间自动优化 AVP 放置的第一步。

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