title: [Tumor segmentation of brain MRI with adaptive bandwidth mean shift].
abstract: In order to get the adaptive bandwidth of mean shift to make the tumor segmentation of brain magnetic resonance imaging (MRI) to be more accurate, we in this paper present an advanced mean shift method. Firstly, we made use of the space characteristics of brain image to eliminate the impact on segmentation of skull; and then, based on the characteristics of spatial agglomeration of different tissues of brain (includes tumor), we applied edge points to get the optimal initial mean value and the respectively adaptive bandwidth, in order to improve the accuracy of tumor segmentation. The results of experiment showed that, contrast to the fixed bandwidth mean shift method, the method in this paper could segment the tumor more accurately.
authors.forename: Xiaowen
authors.initials: X
authors.lastname: Hou
authors.forename: Qi
authors.initials: Q
authors.lastname: Liu
mesh_terms: D001932:Brain Neoplasms / Q000473:pathology*; D003287:Contrast Media; D006801:Humans; D008279:Magnetic Resonance Imaging; D059906:Neuroimaging; D012886:Skull
chemical_list: D003287:Contrast Media