This paper demonstrates a study on lateral ventricles segmentation in brain Magnetic Resonance Imaging (MRI). The method applies Gaussian smoothed image data as additional features into the feature space of Fuzzy C-Means (FCM) algorithm. With the aid of the smoothing effect from Gaussian filters, FCM is able to segment lateral ventricular compartments by reducing inappropriate clustering caused by noise and inhomogeneous intensity distribution. The results demonstrate both noise insensitivity and more homogeneous clustering. © Springer-Verlag Berlin Heidelberg 2007.
CITATION STYLE
Xiao, K., Ho, S. H., & Salih, Q. (2007). A study: Segmentation of lateral ventricles in brain MRI using fuzzy C-means clustering with gaussian smoothing. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4482 LNAI, pp. 161–170). Springer Verlag. https://doi.org/10.1007/978-3-540-72530-5_19
Mendeley helps you to discover research relevant for your work.