Abstract
Magnetic Resonance Imaging (MRI) is a popular tool for detection of diseases, as it can provide details about physiological and the chemical components of the tissues, for which the investigation needs to be carried out. The advantage of MRI over other medical imaging techniques is that sectional image of same resolution can be produced without moving the patients. However, the pixel intensity of the grey matter and non-grey matter, which are present in the brain, is almost similar. Hence it creates difficulty in identification and diagnosis of brain diseases. Therefore, identifying and removing the non-brain tissue like skull is very vital for accurate diagnosis of brain-related diseases. This removal of skeletal structure from a brain MRI is called skull stripping. In this paper, different brain MRI skull stripping techniques are discussed and performance analysis is presented with respect to their ground truth images.
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Hazarika, R.A., Kharkongor, K., Sanyal, S., Maji, A.K. (2020). A Comparative Study on Different Skull Stripping Techniques from Brain Magnetic Resonance Imaging. In: Khanna, A., Gupta, D., Bhattacharyya, S., Snasel, V., Platos, J., Hassanien, A. (eds) International Conference on Innovative Computing and Communications. Advances in Intelligent Systems and Computing, vol 1087. Springer, Singapore. https://doi.org/10.1007/978-981-15-1286-5_24
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DOI: https://doi.org/10.1007/978-981-15-1286-5_24
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