基于广义背景填充的塔式多相水平集的脑肿瘤分割算法 |
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作者姓名: | 郑罡 王惠南 |
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作者单位: | [1]南京航空航天大学自动化学院,南京210016 [2]南京军区南京总医院医学影像科,南京210002 |
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摘 要: | 背景填充技术和Chan-Vese模型的塔式多相水平集算法能够在给定的图像中检测出多个目标,而背景填充技术中采用了固定的填充色彩,故该算法得到的边缘是不可调的.为此提出了一种采用可调填充色的广义背景填充技术,使得轮廓可调以便获得所需边缘.脑肿瘤分割实验表明,采用不同的填充色可以得到不同的脑肿瘤轮廓,有利于临床诊断.
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关 键 词: | 活动轮廓模型 水平集 多相 背景填充技术 active contour model level set multiphase technique of painting background 背景 水平集 脑肿瘤 分割算法 BACKGROUND PAINTING TECHNIQUE GENERALIZED DETECTION BRAIN TUMOR FRAMEWORK LEVEL SET especially clinical Experimental results brain tumors show different boundaries parameters |
修稿时间: | 2006/3/20 0:00:00 |
PYRAMIDAL MULTIPHASE LEVEL SET FRAMEWORK FOR BRAIN TUMOR DETECTION USING GENERALIZED TECHNIQUE OF PAINTING BACKGROUND |
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Authors: | Zheng Gang Wang Huinan |
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Institution: | 1. College of Automation Engineering, NUAA, Nanjing, 29 Yudao Street, 210016, P. R. China; 2. Department of Medical Imaging, Nanjing Jinling Hospital, Nanjing, 210002, P. R. China |
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Abstract: | The pyramidal multiphase level set framework (PMLSF) based on the technique of painting background (TPBG) and the Chan-Vese model can detect multiple objects on a given image. However, the boundaries of the sub-object obtained by PMLSF-TPBG are not variable since a special color parameter is used in TPBG. To solve the problem, a new technique utilizing a varying parameter is proposed to ensure that PMLSF is effective for the detection of the desired boundaries of the sub-object. The interval of the variable color parameter is proved and the effects of the parameter are also discussed. Experimental results for the brain tumor detection show that different boundaries of the brain tumors can be detected with different color parameters. It is especially useful for clinical diagnoses. |
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Keywords: | active contour model level set multiphase technique of painting background |
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