title: [Segmentation of whole body bone SPECT image based on BP neural network].
abstract: In this paper, BP neural network is used to segment whole body bone SPECT image so that the lesion area can be recognized automatically. For the uncertain characteristics of SPECT images, it is hard to achieve good segmentation result if only the BP neural network is employed. Therefore, the segmentation process is divided into three steps: first, the optimal gray threshold segmentation method is employed for preprocessing, then BP neural network is used to roughly identify the lesions, and finally template match method and symmetry-removing program are adopted to delete the wrongly recognized areas.
authors.affiliation: Department of Automation Engineering, University of Electronic Science Technology of China, Zhongshan Institute, Zhongshan 528403, China. chunmeizhu@126.com
authors.forename: Chunmei
authors.initials: C
authors.lastname: Zhu
authors.forename: Lianfang
authors.initials: L
authors.lastname: Tian
authors.forename: Ping
authors.initials: P
authors.lastname: Chen
authors.forename: Yuanlie
authors.initials: Y
authors.lastname: He
authors.forename: Lifei
authors.initials: L
authors.lastname: Wang
authors.forename: Guangchun
authors.initials: G
authors.lastname: Ye
authors.forename: Zongyuan
authors.initials: Z
authors.lastname: Mao
mesh_terms: D000465:Algorithms; D001842:Bone and Bones / Q000000981:diagnostic imaging*; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D016571:Neural Networks, Computer; D010363:Pattern Recognition, Automated / Q000379:methods*; D015899:Tomography, Emission-Computed, Single-Photon; D051598:Whole Body Imaging