Automatic estimation of midline shift in patients with cerebral glioma based on enhanced Voigt model and local symmetry
文献类型：期刊论文
| 作者 | Mingyang Chen; Ahmed Elazab; Fucang Jia; Jianghuang Wu; Guanglin Li; Xiaodong Li; Qingmao Hu |
| 刊名 | Australian Physical and Engineering Sciences in Medicine
 |
| 出版日期 | 2015 |
| 英文摘要 | Cerebral glioma is one of the most aggressive space-occupying diseases, which will exhibit midline shift (MLS) due to mass effect. MLS has been used as an important feature for evaluating the pathological severity and patients’ survival possibility. Automatic quantification of MLS is challenging due to deformation, complex shape and complex grayscale distribution. An automatic method is proposed and validated to estimate MLS in patients with gliomas diagnosed using magnetic resonance imaging (MRI). The deformed midline is approximated by combining mechanical model and local symmetry. An enhanced Voigt model which takes into account the size and spatial information of lesion is devised to predict the deformed midline. A composite local symmetry combining local intensity symmetry and local intensity gradient symmetry is proposed to refine the predicted midline within a local window whose size is determined according to the pinhole camera model. To enhance the MLS accuracy, the axial slice with maximum MSL from each volumetric data has been interpolated from a spatial resolution of 1 mm to 0.33 mm. The proposed method has been validated on 30 publicly available clinical head MRI scans presenting with MLS. It delineates the deformed midline with maximum MLS and yields a mean difference of 0.61 ± 0.27 mm, and average maximum difference of 1.89 ± 1.18 mm from the ground truth. Experiments show |
| 收录类别 | SCI |
| 原文出处 | http://link.springer.com/article/10.1007/s13246-015-0372-3 |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/10374]  |
| 专题 | 深圳先进技术研究院_医工所 |
| 作者单位 | Australian Physical and Engineering Sciences in Medicine |
| 推荐引用方式 GB/T 7714 | Mingyang Chen,Ahmed Elazab,Fucang Jia,et al. Automatic estimation of midline shift in patients with cerebral glioma based on enhanced Voigt model and local symmetry[J]. Australian Physical and Engineering Sciences in Medicine,2015. |
| APA | Mingyang Chen.,Ahmed Elazab.,Fucang Jia.,Jianghuang Wu.,Guanglin Li.,...&Qingmao Hu.(2015).Automatic estimation of midline shift in patients with cerebral glioma based on enhanced Voigt model and local symmetry.Australian Physical and Engineering Sciences in Medicine. |
| MLA | Mingyang Chen,et al."Automatic estimation of midline shift in patients with cerebral glioma based on enhanced Voigt model and local symmetry".Australian Physical and Engineering Sciences in Medicine (2015). |
入库方式： OAI收割
来源：深圳先进技术研究院
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