Segmentation of Hyperacute Cerebral Infarcts Based on Sparse Representation of Diffusion Weighted Imaging

	Segmentation of Hyperacute Cerebral Infarcts Based on Sparse Representation of Diffusion Weighted Imaging
	Xiaodong Zhang; Shasha Jing; Peiyi Gao; Jing Xue; Lu Su; Weiping Li; Lijie Ren; Qingmao Hu
刊名	Computational and Mathematical Methods in Medicine
	2016
英文摘要	Segmentation of infarcts at hyperacute stage is challenging as they exhibit substantial variability which may even be hard for experts to delineate manually. In this paper, a sparse representation based classification method is explored. For each patient, four volumetric data items including three volumes of diffusion weighted imaging and a computed asymmetry map are employed to extract patch features which are then fed to dictionary learning and classification based on sparse representation. Elastic net is adopted to replace the traditional -norm/-norm constraints on sparse representation to stabilize sparse code. To decrease computation cost and to reduce false positives, regions-of-interest are determined to confine candidate infarct voxels. The proposed method has been validated on 98 consecutive patients recruited within 6 hours from onset. It is shown that the proposed method could handle well infarcts with intensity variability and ill-defined edges to yield significantly higher Dice coefficient (0.755 ± 0.118) than the other two methods and their enhanced versions by confining their segmentations within the regions-of-interest (average Dice coefficient less than 0.610). The proposed method could provide a potential tool to quantify infarcts from diffusion weighted imaging at hyperacute stage with accuracy and speed to assist the decision making especially for thrombolytic therapy.
收录类别	SCI
原文出处	https://www.hindawi.com/journals/cmmm/2016/2581676/abs/
语种	英语
内容类型	期刊论文
源URL	[http://ir.siat.ac.cn:8080/handle/172644/10385]
专题	深圳先进技术研究院_医工所
作者单位	Computational and Mathematical Methods in Medicine
推荐引用方式 GB/T 7714	Xiaodong Zhang,Shasha Jing,Peiyi Gao,et al. Segmentation of Hyperacute Cerebral Infarcts Based on Sparse Representation of Diffusion Weighted Imaging[J]. Computational and Mathematical Methods in Medicine,2016.
APA	Xiaodong Zhang.,Shasha Jing.,Peiyi Gao.,Jing Xue.,Lu Su.,...&Qingmao Hu.(2016).Segmentation of Hyperacute Cerebral Infarcts Based on Sparse Representation of Diffusion Weighted Imaging.Computational and Mathematical Methods in Medicine.
MLA	Xiaodong Zhang,et al."Segmentation of Hyperacute Cerebral Infarcts Based on Sparse Representation of Diffusion Weighted Imaging".Computational and Mathematical Methods in Medicine (2016).