Segmentation of Cerebral Edema Around Spontaneous Intracerebral Hemorrhage

Authors

Mingyang Chen, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, 1068 Xueyuan Boulevard, Shenzhen 518055, China
Qingmao Hu
Zhenchuan Liu
Shoujun Zhou
Xiaodong Li

Author Country (or Countries)

China

Abstract

An automatic method is presented to extract edema around spontaneous intracerebral hemorrhage (SICH). A new way to cluster edema based on region growing is proposed, with seeds derived from expectation-maximization algorithm, local grayscale mean derived from adaptive local thresholding with varied window sizes, and growing rules that combines local grayscale mean and grayscale information in the form of two-dimensional entropy. The algorithm has been validated on 36 patient datasets to achieve a Dice coefficient of 0.79 in less than 3 minutes. It may provide a potential tool for neurosurgeons to quantify edema and guide therapy of patients with SICH.

Suggested Reviewers

N/A

Recommended Citation

Chen, Mingyang; Hu, Qingmao; Liu, Zhenchuan; Zhou, Shoujun; and Li, Xiaodong (2013) "Segmentation of Cerebral Edema Around Spontaneous Intracerebral Hemorrhage," Applied Mathematics & Information Sciences: Vol. 07: Iss. 2, Article 19.
Available at: https://digitalcommons.aaru.edu.jo/amis/vol07/iss2/19