Direct segmentation in 3D and its application to medical images

Xiaohan Yu; Juha Yla-Jaaski; Outi Sipila; Toivo E. Katila

doi:10.1117/12.154503

Translator Disclaimer

14 September 1993 Direct segmentation in 3D and its application to medical images

Xiaohan Yu; Juha Yla-Jaaski; Outi Sipila; Toivo E. Katila

Author Affiliations +

Proceedings Volume 1898, Medical Imaging 1993: Image Processing; (1993) https://doi.org/10.1117/12.154503
Event: Medical Imaging 1993, 1993, Newport Beach, CA, United States

Abstract

In this paper a new algorithm for direct 3D segmentation is presented. The algorithm combines region growing, edge detection and a new edge preserving smoothing method. The combined method helps to avoid characteristic segmentation errors which occur when using region growing or edge detection separately. Boundary modification is also introduced to overcome noise in the boundary location and ensure more realistic region boundaries. The algorithm has been validated through application to medical image visualization.

Citation Download Citation

Xiaohan Yu, Juha Yla-Jaaski, Outi Sipila, and Toivo E. Katila "Direct segmentation in 3D and its application to medical images", Proc. SPIE 1898, Medical Imaging 1993: Image Processing, (14 September 1993); https://doi.org/10.1117/12.154503

ACCESS THE FULL ARTICLE