Multiple Classifier Fusion and Optimization Automation Focal Cortical Dysplasia Detection on Magnetic Resonance Images

doi:10.1109/ACCESS.2018.2883583

	Multiple Classifier Fusion and Optimization Automation Focal Cortical Dysplasia Detection on Magnetic Resonance Images
	Qu, Xiaoxia 1,2; Yang, Jian1 ; Platis, Ljiljana 3; Kumcu, Asli 3; Ai, Danni 1; Goossens, Bart 3; Bai, Tingzhu 1; Wang, Yongtian 1; Sui, Jing 4; Deblaere, Karel 5; Philips, Wilfried 3
发表期刊	IEEE ACCESS
ISSN	2169-3536
	2018
卷号	6 页码:73786-73801
通讯作者	Yang, Jian(jyang@bit.edu.cn)
摘要	In magnetic resonance (MR) images, detection of focal cortical dysplasia (FCD) lesion as a main pathological cue of epilepsy is challenging because of the variability in the presentation of FCD lesions. Existing algorithms appear to have sufficient sensitivity in detecting lesions but also generate large numbers of false-positive (FP) results. In this paper, we propose a multiple classifier fusion and optimization schemes to automatically detect FCD lesions in MR images with reduced FPs through constructing an objective function based on the F-score. Thus, the proposed scheme obtains an improved tradeoff between minimizing FPs and maximizing true positives. The optimization is achieved by incorporating the genetic algorithm into the work scheme. Hence, the contribution of weighting coefficients to different classifications can be effectively determined. The resultant optimized weightings are applied to fuse the classification results. A set of six typical FCD features and six corresponding Z-score maps are evaluated through the mean F-score from multiple classifiers for each feature. From the experimental results, the proposed scheme can automatically detect FCD lesions in 9 out of 10 patients while correctly classifying 31 healthy controls. The proposed scheme acquires a lower FP rate and a higher F-score in comparison with two state-of-the-art methods.
关键词	Focal cortical dysplasia magnetic resonance image brain lesion detection optimal weighted multiple classifiers genetic algorithm
DOI	10.1109/ACCESS.2018.2883583
关键词[WOS]	MRI ; FEATURES ; REGISTRATION ; TEXTURE ; ROBUST ; SEGMENTATION ; LESIONS
收录类别	SCI
语种	英语
资助项目	National Key Research and Development Program of China[2017YFC0107800] ; National Science Foundation Program of China[61672099] ; National Science Foundation Program of China[81627803] ; National Science Foundation Program of China[61501030] ; National Science Foundation Program of China[61527827] ; China Scholarship Council[201206030018] ; CSC from Ghent University[01SC0213] ; National Key Research and Development Program of China[2017YFC0107800] ; National Science Foundation Program of China[61672099] ; National Science Foundation Program of China[81627803] ; National Science Foundation Program of China[61501030] ; National Science Foundation Program of China[61527827] ; China Scholarship Council[201206030018] ; CSC from Ghent University[01SC0213]
项目资助者	National Key Research and Development Program of China ; National Science Foundation Program of China ; China Scholarship Council ; CSC from Ghent University
WOS研究方向	Computer Science ; Engineering ; Telecommunications
WOS类目	Computer Science, Information Systems ; Engineering, Electrical & Electronic ; Telecommunications
WOS记录号	WOS:000454365500001
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计	被引频次：3[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/25630
专题	脑图谱与类脑智能实验室_脑网络组研究
通讯作者	Yang, Jian
作者单位	1.Beijing Inst Technol, Sch Opt & Photon, Beijing Engn Res Ctr Mixed Real & Adv Display, Beijing 100081, Peoples R China 2.Capital Med Univ, Beijing Tongren Hosp, Radiol Dept, Beijing 100730, Peoples R China 3.Univ Ghent, Dept Telecommun & Informat Proc imec IPI TELIN, B-9000 Ghent, Belgium 4.Chinese Acad Sci, Inst Automat, Brainnetome Ctr, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China 5.Ghent Univ Hosp, Dept Radiol, B-9000 Ghent, Belgium
推荐引用方式 GB/T 7714	Qu, Xiaoxia,Yang, Jian,Platis, Ljiljana,et al. Multiple Classifier Fusion and Optimization Automation Focal Cortical Dysplasia Detection on Magnetic Resonance Images[J]. IEEE ACCESS,2018,6:73786-73801.
APA	Qu, Xiaoxia.,Yang, Jian.,Platis, Ljiljana.,Kumcu, Asli.,Ai, Danni.,...&Philips, Wilfried.(2018).Multiple Classifier Fusion and Optimization Automation Focal Cortical Dysplasia Detection on Magnetic Resonance Images.IEEE ACCESS,6,73786-73801.
MLA	Qu, Xiaoxia,et al."Multiple Classifier Fusion and Optimization Automation Focal Cortical Dysplasia Detection on Magnetic Resonance Images".IEEE ACCESS 6(2018):73786-73801.