Abstract #2463

A brain extraction algorithm for infant T2-weighted images based on the fuzzy c-means thresholding

Inyoung Bae¹, Dongchan Kim², Jun-Young Chung¹, and Yeji Han¹

¹Department of Health Sciences and Technology, GAIHST, Gachon University, Incheon, Korea, Republic of, ²College of Health Science, Gachon University, Incheon, Korea, Republic of

Brain extraction is an important step in image processing for research and diagnostic assessments using brain MR images. In this work, we proposed a brain extraction algorithm optimized for both 2D and 3D infant T2-weighted images based on the fuzzy c-means thresholding and spatial information of the neighboring slices. Quantitative analysis using the dice ratio was performed to compare the results of brain extraction using the proposed method, BET, iBEAT, and the manual segmentation.

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