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影响因子：1.3

DOI码：10.3233/BME-151429

发表刊物：BIO-MEDICAL MATERIALS AND ENGINEERING，International Workshop on Biological Mechanics in Conjunction with the 4th International Conference on Biomedical Engineering and Biotechnology (ICBEB)

关键字：Automatic segmentationbrain gliomaDWIfunctional MRI

摘要：For quantitative analysis of glioma, multimodal Magnetic Resonance Imaging (MRI) signals are required in combination to perform a complementary analysis of morphological, metabolic, and functional changes. Most of the morphological analyses are based on T1-weighted and T2-weighted signals, called traditional MRI. But more detailed information about tumorous tissues could not be explained. An information combination scheme of Diffusion-Weighted Imaging (DWI) and Blood-Oxygen-Level Dependent (BOLD) contrast Imaging is proposed in this paper. This is a non-model segmentation scheme of brain glioma tissues in a particular perspective of combining multi-parameters of DWI and BOLD contrast functional Magnetic Resonance Imaging (fMRI). Compared with traditional MRI, a promising advantage of our work is to provide an effective and adequate subdivision of the related pathological regions with glioma, by incorporating both knowledge of image graylevel and spatial structure. Furthermore, it is an automatic segmentation method without needs of parameter selection and model fitting for the extracted tissues. By the experiments in patients with glioma, the proposed method has achieved the average overlap ratios of 83.6% in the whole tumor region and 82.5% in the peritumoral edema region with the manual segmentation as "ground truth".

合写作者：Xiaojie Zhang, Mingyu Zhang, Hongyan Chen, Shaowu Li, Jianping Dai,Sen Ma, Zhongze hu,陈健生, Guangda Su, Weibei Dou

第一作者：Min Lu,Yudu Li

论文类型：期刊论文，会议论文

通讯作者：Weibei Dou,陈健生,Liansheng Chen

卷号：26

期号：1

页面范围：S1315-S1324

ISSN号：0959-2989

是否译文：否

发表时间：2015-08-18