一种多模态医学影像鲁棒配准方法

doi:10.3969/j.issn.1001-2400.2011.06.005

Abstract

Abstract:

To improve the robustness and precision of multimodality medical image registration, a principal ordinal feature and hybrid entropy based registration method is presented. A principal ordinal feature is defined and used to represent the spatial information between the neighboring pixels and the properties of the specified micro-structure in medical images. Integrating with pixel intensities, a similarity measure based on hybrid entropy is defined to register multimodality images. The proposed method is demonstrated using several pairs of multimodality medical images and experimental results show that the noise of images can be effectively suppressed and that compared with some existing methods, the proposed registration algorithm is of higher precision and better robustness.

Key words: image registration, mutual information, principal ordinal feature, hybrid entropy

CLC Number:

TP391.4

LI Qi;JI Hongbing;TONG Ming. Robust registration of multimodality medical images based on the principal ordinal feature and hybrid entropy[J].J4, 2011, 38(6): 30-36+145.

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Robust registration of multimodality medical images based on the principal ordinal feature and hybrid entropy

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