中国医疗设备2016，Vol.31Issue(12)：31-34,4.DOI:10.3969/j.issn.1674-1633.2016.12.007
一种全自动的脊柱CT图像分割算法研究
Research of All Automatic Spinal CT Image Segmentation Algorithm
张媛 1周啸虎 1郭静丽 1高伟1
作者信息
- 1. 南京医科大学附属南京医院 南京市第一医院 放射科，江苏 南京210006
- 折叠
摘要
Abstract
ObjectiveTo explore the improved algorithm of active contour model and apply it to the automatic segmentation of spinal CT image.Methods First, fuzzy corner algorithm based on image gray was adopted to mark the corner feature set of the subject goal. Second, the concave hull algorithm based onα shape was used to outline the initial contour which is close to the real subject goal. Finally, this initial contour was taken as the initial evolutionary conditions of active contour model to achieve image automatic segmentation.Results Different segmentation algorithms were chosen to conduct simulation experiment. Qualitative analysis showed that the proposed method retained a clear and complete image edge and details. Quantitative evaluation results indicated that the improved algorithm can get a maximal Dice similarity coefifcient and a minimal Hausdorff distance measure, and can precisely segment subject goal even in a noisy environment.Conclusion The fuzzy corner algorithm and concave hull algorithm can effectively avoid the blindness of the initial contour selection, thus the active contour model evolves more rapidly so that can acquire a more accurate subject goal contour. The proposed algorithm is a feasible for spinal CT image segmentation and is more stable and universally applicable than other algorithm even in a noisy environment, thus has greater clinical application value in terms of goal analysis.关键词
脊柱CT图像/医学图像分割/活动轮廓模型/模糊理论/凹包算法Key words
spinal CT image/medical image segmentation/active contour model/fuzzy theory/concave hull algorithm分类
信息技术与安全科学引用本文复制引用
张媛,周啸虎,郭静丽,高伟..一种全自动的脊柱CT图像分割算法研究[J].中国医疗设备,2016,31(12):31-34,4.
