Research on the application of SIFT algorithm based on centroid constraint in liver image similarity matching

Xueling Long; Taihui Liu; Xin Qiao; Yongqi Li; Lilu Wang

doi:10.1117/12.3044364

27 August 2024 Research on the application of SIFT algorithm based on centroid constraint in liver image similarity matching

Xueling Long, Taihui Liu, Xin Qiao, Yongqi Li, Lilu Wang

Author Affiliations +

Proceedings Volume 13252, Fourth International Conference on Biomedicine and Bioinformatics Engineering (ICBBE 2024); 132520A (2024) https://doi.org/10.1117/12.3044364
Event: 2024 Fourth International Conference on Biomedicine and Bioinformatics Engineering (ICBBE 2024), 2024, Kaifeng, China

Abstract

CT images of liver reflect the internal tissue structure of liver through density distribution imaging. In CT images of healthy liver, the tissues of adjacent layers are highly similar, and this similarity is the basis for the feature description of CT images based on healthy tissues. The research shows that SIFT feature can be used as the basic form of such similarity description. In this paper, a method of similarity matching between liver images based on improved SIFT algorithm is proposed. Taking the internal centroid of liver image as the basic reference point, SIFT key points are constrained by centroid space Angle and then feature descriptors are constructed. It can solve the problem of cross-region mismatching in SIFT feature matching, ensure the advantages of invariant affine transform and invariant scale transform of SIFT feature in CT image, and realize the similarity matching processing of adjacent layers in the tomography image. The experimental results show that the proposed algorithm can effectively avoid the occurrence of cross-region mismatching within homogeneous organs, and also verify the feasibility of feature matching based on similarity description of adjacent CT images. It provides an effective method for further characterization and semantic research of healthy tissue.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Xueling Long, Taihui Liu, Xin Qiao, Yongqi Li, and Lilu Wang "Research on the application of SIFT algorithm based on centroid constraint in liver image similarity matching", Proc. SPIE 13252, Fourth International Conference on Biomedicine and Bioinformatics Engineering (ICBBE 2024), 132520A (27 August 2024); https://doi.org/10.1117/12.3044364

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KEYWORDS

Computed tomography

Image processing

Liver

Medical imaging

Tissues

Feature extraction

Reflection

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