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Segmentation of Cerebral Edema Around Spontaneous Intracerebral Hemorrhage |
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PP: 563-570 |
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Author(s) |
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Mingyang Chen,
Qingmao Hu,
Zhenchuan Liu,
Shoujun Zhou,
Xiaodong Li,
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Abstract |
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| 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. |
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