Brain extraction is an essential pre-processing step for brain image analysis. In this work, a new brain extraction technique for T2 weighted image of an infant brain with pathological characteristics is proposed to reduce the error of conventional techniques caused by variations in contrast and brain size of infant brain from that of the adult brain. We used k-means clustering, spatial information, and morphological approaches to improve brain extraction technique. Quantitative analysis was conducted using the dice ratio compared with the results of manual segmentation.
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