Automatic Segmentation Point Marker Algorithm of Vertebra Tissue Based on Multi-resolution Composite Feature Vector

MA Wen-ping; LIU Wan-wan; WANG Cai-feng; HE Shan

Computer & Telecommunication ›› 2026 ›› Issue (2) : 24-28.

MA Wen-ping¹, LIU Wan-wan², WANG Cai-feng¹, HE Shan³

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Abstract

For the problem that finite element modeling mostly uses half manual, even pure manual to conduct vertebra segmentation, this paper proposes an automatic segmentation algorithm. This algorithm firstly marks seed points in segmentation region with the multi-resolution composite feature vector based point landmark algorithm, then grows the segmented regions using the method of region growing, finally achieves the automatic segmentation. Experimental validation using 120 spinal MRI images demonstrates that the proposed method achieves an average similarity coefficient of 90.02% for segmentation results, with a maximum of 95.28%. The segmentation process requires only 5.0 minutes, representing over a tenfold improvement in efficiency compared to manual segmentation and significantly outperforming traditional graph theory-based segmentation methods and U-Net algorithm. Conclusions indicate that the proposed algorithm enables efficient and accurate automatic segmentation of vertebral bodies, demonstrating good stability and application potential. It provides a reliable foundation for subsequent 3D reconstruction and finite element analysis.

Key words

point marker / region growing / automatic segmentation

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MA Wen-ping, LIU Wan-wan, WANG Cai-feng, HE Shan. Automatic Segmentation Point Marker Algorithm of Vertebra Tissue Based on Multi-resolution Composite Feature Vector[J]. Computer & Telecommunication. 2026(2): 24-28

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