Automatic segmentation of white matter hyperintensities by an extended   FitzHugh &amp; nagumo reaction diffusion model

doi:10.1002/jmri.23836

CORC > 北京大学 > 工学院

	Automatic segmentation of white matter hyperintensities by an extended FitzHugh & nagumo reaction diffusion model
	Ji, Shuangxi ; Ye, Changqing ; Li, Fan ; Sun, Wei ; Zhang, Jue ; Huang, Yining ; Fang, Jing
刊名	journal of magnetic resonance imaging
	2013
关键词	white matter hyperintensities FitzHugh & automatic segmentation similarity index MULTIPLE-SCLEROSIS LESIONS VISUAL RATING-SCALES MR-IMAGES CARDIOVASCULAR HEALTH ALZHEIMERS-DISEASE ROTTERDAM SCAN OLDER PERSONS BRAIN MRI QUANTIFICATION POPULATION Nagumo model
DOI	10.1002/jmri.23836
英文摘要	Purpose: To evaluate the efficiency and reproducibility of the extended Fitz Hugh & Nagumo (FHN) reaction-diffusion model proposed in this study for white matter hyperintensities (WMH) segmentation. Materials and Methods: Five types of magnetic resonance T2-weighted fluid-attenuated inversion-recovery (T2FLAIR) images of 127 patients with different scanning parameters from five clinical scanner systems were selected for this study. After skull and scalp removal and denoise, the T2FLAIR images were processed by the proposed extended FHN model to obtain WMH. This new technique replaced the global threshold constant with a local threshold matrix. Results: There was no significant difference between the segmentation results of the training set and the manual contouring against those between the test set and the manual contouring based on similarity index (SI) values (P = 0.5217). The SI values of the five types of T2FLAIR images were 86.0% +/- 15.4%, 85.8% +/- 10.5%, 84.1% +/- 14.8%, 87.2% +/- 14.6%, 86.3% +/- 12.7%, respectively, comparing the segmentation results using the proposed method to the manual delineations. The overall SI value of the images was 86.5% +/- 14.5%. This approach also demonstrated a better WMH segmentation performance over its classic form (P < 0.001). Conclusion: The proposed approach is efficient and could provide a more effective and convenient tool for clinical quantitative WMH analysis. J. Magn. Reson. Imaging 2013;37:343350. (c) 2012 Wiley Periodicals, Inc.; http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000314180400007&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=8e1609b174ce4e31116a60747a720701 ; Radiology, Nuclear Medicine & Medical Imaging; SCI(E); PubMed; 3; ARTICLE; 2; 343-350; 37
语种	英语
内容类型	期刊论文
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/153969]
专题	工学院
推荐引用方式 GB/T 7714	Ji, Shuangxi,Ye, Changqing,Li, Fan,et al. Automatic segmentation of white matter hyperintensities by an extended FitzHugh & nagumo reaction diffusion model[J]. journal of magnetic resonance imaging,2013.
APA	Ji, Shuangxi.,Ye, Changqing.,Li, Fan.,Sun, Wei.,Zhang, Jue.,...&Fang, Jing.(2013).Automatic segmentation of white matter hyperintensities by an extended FitzHugh & nagumo reaction diffusion model.journal of magnetic resonance imaging.
MLA	Ji, Shuangxi,et al."Automatic segmentation of white matter hyperintensities by an extended FitzHugh & nagumo reaction diffusion model".journal of magnetic resonance imaging (2013).