基于知识的医学图像配准

Proceedings of 18th Annual International Conference of the IEEE Engineering in Medicine and Biology Society Pub Date : 1996-12-01 DOI:10.1109/IEMBS.1996.652772

Hui-Hua Wen, Wei-Chung Lin, Chin-Tu Chen

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引用次数: 7

摘要

描述了一种新的基于表面的医学图像配准框架。通过实现模糊逻辑系统，该方法允许结合人类专家知识，利用两个匹配点的多个局部图像属性(如梯度方向和曲率)来评估其置信度。该方法可应用于医学图像的学科间配准和学科内配准。它还可以放宽对轮廓提取过程的性能要求。

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Knowledge-based medical image registration

Describes a new framework for surface-based medical image registration. By implementing a fuzzy logic system, this method allows the incorporation of human expert knowledge to evaluate the confidence level of two matching points using their multiple local image properties such as gradient direction and curvature. The proposed technique can be applied to both intra- and inter-subject medical image registration. It can also relax the performance requirement on the contour extraction process.

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Proceedings of 18th Annual International Conference of the IEEE Engineering in Medicine and Biology Society

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