title: A new algorithm of brain volume contours segmentation.
abstract: This paper explores brain CT slices segmentation technique and some related problems, including contours segmentation algorithms, edge detector, algorithm evaluation and experimental results. This article describes a method for contour-baed segmentation of anatomical structures in 3D medical data sets. With this method, the user manually traces one or more 2D contours of an anatomical structure of interest on parallel planes arbitrarily cutting the data set. The experimental results show the segmentation based on 3D brain volume and 2D CT slices. The main creative contributions in this paper are: (1) contours segmentation algorithm; (2) edge detector; (3) algorithm evaluation.
authors.affiliation: Institute of Image Processing and Pattern Recognition, Shanghai Jiaotong University, Shanghai 200030, China. wjm010@sjtu.edu.cn
authors.forename: Jian-Ming
authors.initials: JM
authors.lastname: Wu
authors.forename: Peng-Fei
authors.initials: PF
authors.lastname: Shi
mesh_terms: D000465:Algorithms; D019412:Anatomy, Cross-Sectional / Q000379:methods*; D016477:Artifacts; D001921:Brain / Q000000981:diagnostic imaging*; D004827:Epilepsy / Q000000981:diagnostic imaging*; D004833:Epilepsy, Temporal Lobe / Q000000981:diagnostic imaging; D006801:Humans; D021621:Imaging, Three-Dimensional / Q000379:methods*; D010363:Pattern Recognition, Automated; D011857:Radiographic Image Interpretation, Computer-Assisted / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity