Automatic Brain Extraction for T1-Weighted Magnetic Resonance Images Using Region Growing
Yu-Lung Ho, Wei-Yang Lin, Chia-Ling Tsai, Cheng‐Chia Lee, Chih‐Yang Lin · 2016
In this paper, we propose a novel method for extracting brain region from T1-weighted magnetic resonance imaging. Our proposed method is based on finding a seed point which is located on brain tissue and then perform region growing. In particular, we firstly analyze intensity distributions of different cerebral tissues (including brain, cerebrospinal fluid, scalp and marrow) at middle height. We also measure the distance from image center to brain edge at the same height of brain scan. In the experimental validation, we have conducted experiment on the OASIS dataset and perform comparison with the state-of-the-art methods. Our propose method achieves the best performance on the OASIS dataset.