一种不确定解剖结构采样算法

2018 Computing in Cardiology Conference (CinC) Pub Date : 2018-12-30 DOI:10.22489/CinC.2018.078

C. Corrado, Steven Williams, I. Sim, S. Coveney, M. O'Neill, Richard D. Wilkinson, J. Oakley, R. Clayton, S. Niederer

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引用次数: 1

摘要

图像伪影、分辨率和对比度都会影响我们量化解剖结构的能力。在特定患者模拟的背景下，这种形状的不确定性会导致模型预测的不确定性。我们提出并应用了一种量化形状不确定性的方法，并在心脏电生理激活模型中展示了形状不确定性对激活时间预测的影响。

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An Algorithm to Sample an Anatomy With Uncertainty

Image artefact, resolution and contrast all impact our ability to quantify anatomy. In the context of patient-specific simulations this uncertainty in shape can lead to uncertainty in model predictions. We propose and apply a method for quantifying uncertainty in shape and demonstrate the impact of uncertain shape on activation time predictions in a model of cardiac electrophysiology activation.

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2018 Computing in Cardiology Conference (CinC)

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