Automatic Extraction of MRI Radiomics Features in Glioblastoma Multiforme:A Reproducibility Evaluation
文献类型：会议论文
| 作者 | Zhi-Cheng Li; Qiuchang Sun; Ronghui Luo; Yinsheng Cheny Qihua Li |
| 出版日期 | 2017 |
| 会议日期 | 2017 |
| 会议地点 | 美国夏威夷 |
| 英文摘要 | This paper proposes a fully-automatic method for extraction of high-throughput MRI radiomics features in Glioblastoma Multiforme (GBM). First, the tumor subregions are automatically segmented from multi-modality MR images using a proposed random forest classifier with a conditional random field spatial regulation, where the importances of the multi-modality features are considered. Within the segmented subregions, 44928 high-order texture features are extracted at different voxel sizes by using different quantization methods with varying gray levels. The DICE score, sensitivity and specificity of the proposed automatic segmentation algorithm are calculated. The reproducibility of the extracted features against the changes in voxel sizes, quantization methods and gray levels are assessed quantitatively. The proposed radiomics method can be used for exploring of imaging biomarker and facilitate the pre-treatment care of GBM patients. |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/12197]  |
| 专题 | 深圳先进技术研究院_医工所 |
| 作者单位 | 2017 |
| 推荐引用方式 GB/T 7714 | Zhi-Cheng Li,Qiuchang Sun,Ronghui Luo,et al. Automatic Extraction of MRI Radiomics Features in Glioblastoma Multiforme:A Reproducibility Evaluation[C]. 见:. 美国夏威夷. 2017. |
入库方式： OAI收割
来源：深圳先进技术研究院
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