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Volumetric segmentation of brain images using parallel genetic algorithms
Fan, Y; Jiang, TZ; Evans, DJ
Source PublicationIEEE TRANSACTIONS ON MEDICAL IMAGING
2002-08-01
Volume21Issue:8Pages:904-909
SubtypeArticle
AbstractActive model-based segmentation has frequently been used in medical image processing with considerable success. Although the active model-based method was initially viewed as an optimization problem, most researchers implement it as a partial differential equation solution. The advantages and disadvantages of the active model-based method are distinct: speed and stability. To improve its performance, a parallel genetic algorithm-based active model method is proposed and applied to segment the lateral ventricles from magnetic resonance brain images. First, an objective function is defined. Then one instance surface was extracted using the finite-difference method-based active model and used to initialize the first generation of a parallel genetic algorithm. Finally, the parallel genetic algorithm is employed to refine the result. We demonstrate that the method successfully overcomes numerical instability and is capable of generating an accurate and robust anatomic descriptor for complex objects in the human brain, such as the lateral ventricles.
KeywordActive Models Global Optimization Image Segmentation Parallel Genetic Algorithm
WOS HeadingsScience & Technology ; Technology ; Life Sciences & Biomedicine
WOS KeywordMODELS ; SNAKES
Indexed BySCI
Language英语
WOS Research AreaComputer Science ; Engineering ; Imaging Science & Photographic Technology ; Radiology, Nuclear Medicine & Medical Imaging
WOS SubjectComputer Science, Interdisciplinary Applications ; Engineering, Biomedical ; Engineering, Electrical & Electronic ; Imaging Science & Photographic Technology ; Radiology, Nuclear Medicine & Medical Imaging
WOS IDWOS:000179502400006
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/9842
Collection09年以前成果
Affiliation1.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100080, Peoples R China
2.Nottingham Trent Univ, Dept Comp & Math, Nottingham NG1 4BU, England
Recommended Citation
GB/T 7714
Fan, Y,Jiang, TZ,Evans, DJ. Volumetric segmentation of brain images using parallel genetic algorithms[J]. IEEE TRANSACTIONS ON MEDICAL IMAGING,2002,21(8):904-909.
APA Fan, Y,Jiang, TZ,&Evans, DJ.(2002).Volumetric segmentation of brain images using parallel genetic algorithms.IEEE TRANSACTIONS ON MEDICAL IMAGING,21(8),904-909.
MLA Fan, Y,et al."Volumetric segmentation of brain images using parallel genetic algorithms".IEEE TRANSACTIONS ON MEDICAL IMAGING 21.8(2002):904-909.
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