Segmentation of Cerebral Edema Around Intracranial Hemorrhage on CT Scans Through Classification Model Learned from Patients with both CT and T2-Weighted Magnetic Resonance Images
文献类型：期刊论文
| 作者 | Mingyang Chen; Shicai Zhu; Fucang Jia; Xiaodong Li; Ahmed Elazab; Qingmao Hu |
| 刊名 | 集成技术
 |
| 出版日期 | 2016 |
| 英文摘要 | Segmentation of cerebral edema from computed tomography (CT) scans for patients with intracranial hemorrhage (ICH) is challenging as edema does not show clear boundary on CT. By exploiting the clear boundary on T2-weighted magnetic resonance images, a method was proposed to segment edema on CT images through the model learned from 14 patients with both CT and T2-weighted images using ground truth edema from T2-weighted images to train and classify the features extracted on CT images. By constructing negative samples around the positive samples, employing the feature selection based on common subspace measures, and using support vector machine, the classification model was attained corresponding to the optimum segmentation accuracy. The method has been validated against 36 clinical head CT scans presenting ICH to yield a mean Dice coefficient of 0.859±0.037, which is significantly higher than that of region growing method (0.789±0.036, P＜0.000 1), semi-automated level set method (0.712±0.118, P＜0.000 1), and threshold based method (0.649±0.147, P＜0.000 1). Comparative experiments have been carried out to find that the classifier purely from CT will yield a significantly lower Dice coefficient (0.686±0.136, P＜0.000 The higher segmentation accuracy may suggest that clear boundaries of edema from T2-weighted images provide implicit constraints on CT images that could differentiate edema from its neighboring brain tissues more accurately. The proposed method could provide a potential tool to quantify edema, evaluate the severity of pathological changes, and guide therapy of patients with ICH. |
| 收录类别 | 其他 |
| 原文出处 | http://jcjs.siat.ac.cn/ch/reader/view_abstract.aspx?file_no=201605002&flag=1 |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/10383]  |
| 专题 | 深圳先进技术研究院_医工所 |
| 作者单位 | 集成技术 |
| 推荐引用方式 GB/T 7714 | Mingyang Chen,Shicai Zhu,Fucang Jia,et al. Segmentation of Cerebral Edema Around Intracranial Hemorrhage on CT Scans Through Classification Model Learned from Patients with both CT and T2-Weighted Magnetic Resonance Images[J]. 集成技术,2016. |
| APA | Mingyang Chen,Shicai Zhu,Fucang Jia,Xiaodong Li,Ahmed Elazab,&Qingmao Hu.(2016).Segmentation of Cerebral Edema Around Intracranial Hemorrhage on CT Scans Through Classification Model Learned from Patients with both CT and T2-Weighted Magnetic Resonance Images.集成技术. |
| MLA | Mingyang Chen,et al."Segmentation of Cerebral Edema Around Intracranial Hemorrhage on CT Scans Through Classification Model Learned from Patients with both CT and T2-Weighted Magnetic Resonance Images".集成技术 (2016). |
入库方式： OAI收割
来源：深圳先进技术研究院
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