期刊文献+

三维B超医学图像插值重构研究

Reconstruction in 3D Echocardiography
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摘要 本文讨论了图像插值在超声图像三维重建中的应用,着重于在进行可视化之前如何利用合适的插值算法把三维规则不均匀数据场转换为三维规则均匀数据场,提出有偏距离加权同心插值,并从峰值信噪比、归一化互相关系数和运算速度等几个方面与线性插值,三次插值以及高斯插值等三种较典型的插值算法进行了比较。 In this paper, image interpolation techniques for three-dimensional echocardiographic image reconstruction are discussed. The interpolation techniques in which 3D regular uneven dataset is transformed to 3D regular even dataset are emphasized. A new interpolation algorithm, warped distance concentric interpolation algorithm, is presented and compared with three typical methods.
出处 《信号处理》 CSCD 2004年第6期632-634,622,共4页 Journal of Signal Processing
基金 国家自然科学基金资助(30170264)
关键词 运算速度 插值算法 数据场 图像插值 三维 峰值信噪比 互相关 B超 医学图像 超声图像 <Keyword>interpolation regular even dataset regular uneven dataset
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参考文献4

  • 1Roelandt J R. Three-dimensional echocardiography: the future today. Acta-Cardiol, 1998,53: 323-336.
  • 2Erik Meijering. A chronology of interpolation: from ancient astronomy to modern signal and image processing.Proceedings of the IEEE. Vol.90. No.3. 2002.
  • 3Thomas M. Lehmann. Survey: Interpolation Methods in Medical Image Processing. IEEE Trans on Medical Imaging. Vol. 18, No. 11, November 1999.
  • 4T. Lehmann, A.Sovakar, W.Schmitt, and R.Repges, A comparison of similarity measures for digital subtraction radiography, Comp.Biol.Med, Vol.27, No.2, 1997.

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