基于vtt、cuda优化的非参数血管检测方法

The VTK Journal Pub Date : 2010-01-25 DOI:10.54294/z1w0uu

L. Alpoge, Alark Joshi, D. Scheinost, John A. Onofrey, Xiaoning Qian, X. Papademetris

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引用次数: 0

摘要

我们提出了一种基于vts的非参数血管检测方法，该方法使用极邻域轮廓来识别血管结构。为了加速算法的计算密集型部分，我们利用了使用计算统一设备架构(CUDA)的商用图形硬件的硬件能力。我们给出了性能分析的结果，并提供了源代码和示例来验证结果的可再现性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A VTK-based, CUDA-optimized Non-Parametric Vessel Detection Method

We present a VTK-based implementation of our non-parametric vessel detection method that identifies vascular structures using a polar neighborhood profile. To accelerate the computationally intensive parts of the algorithm, we leverage the hardware capabilities in commodity graphics hardware using Compute Unified Device Architecture (CUDA). We present the results of our performance analysis and provide source code and examples to validate the reproducibility of our results.

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The VTK Journal

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