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Comparison of Dice similarity coefficient and Hausdorff distance in image segmentation(PDF)

《中国医学物理学杂志》[ISSN:1005-202X/CN:44-1351/R]

Issue:
2019年第11期
Page:
1307-1311
Research Field:
医学影像物理
Publishing date:

Info

Title:
Comparison of Dice similarity coefficient and Hausdorff distance in image segmentation
Author(s):
HE Yisong JIANG Jialiang YU Hang FU Yuchuan
Department of Radiotherapy, West China Hospital, Sichuan University, Chengdu 610041, China
Keywords:
precision radiotherapy segmentation of target area contour similarity Dice similarity coefficient Hausdorff distance
PACS:
R318
DOI:
DOI:10.3969/j.issn.1005-202X.2019.11.012
Abstract:
Objective To compare the evaluation effects of Dice similarity coefficient and Hausdorff distance in image segmentation; analyze the relationships between two similarity coefficients; and design the corresponding contours for further discussion. Methods Dice similarity coefficient and Hausdorff distance were used to evaluate contour similarity. Moreover, 18 (9 pairs) virtual contours abstracted from clinical target areas were designed for calculating and comparing the two similarity coefficients, namely Dice similarity coefficient and Hausdorff distance. Results According to the comparison results, 3 different types of cases were summarized. (1) The image conformity was preferable; (2) the overall conformity of the images was good, but there was a small proportion of poor conformity; (3) the conformity of image contour was poor. Conclusion Using Dice similarity coefficient as the only criterion is imperfect, and Dice similarity coefficient should be combined with Hausdorff distance to reflect contour conformity to the greatest extent.

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Last Update: 2019-11-28