Segmentation of Hyperacute Cerebral Infarcts Based on Sparse Representation of Diffusion Weighted Imaging
文献类型：期刊论文
| 作者 | Xiaodong Zhang; Shasha Jing; Peiyi Gao; Jing Xue; Lu Su; Weiping Li; Lijie Ren; Qingmao Hu |
| 刊名 | Computational and Mathematical Methods in Medicine
 |
| 出版日期 | 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 |
| 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). |
入库方式： OAI收割
来源：深圳先进技术研究院
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