| 管锡琴,刘斌,侯丽芳,吴小川.语义分割用于分割弥散加权成像中脑梗死病灶[J].中国医学影像技术,2024,40(12):1818~1821 |
| 语义分割用于分割弥散加权成像中脑梗死病灶 |
| Semantic segmentation for segmenting brain infarct lesions on diffusion weighted imaging |
| 投稿时间：2024-03-19 修订日期：2024-11-17 |
| DOI：10.13929/j.issn.1003-3289.2024.12.003 |
| 中文关键词: 脑梗死 弥散磁共振成像 人工智能 |
| 英文关键词:brain infarction diffusion magnetic resonance imaging artificial intelligence |
| 基金项目:哈尔滨市科学技术局科技计划自筹经费项目(2022ZCZJNS058)。 |
|
| 摘要点击次数: 369 |
| 全文下载次数: 90 |
| 中文摘要: |
| 目的 观察语义分割法用于分割弥散加权成像(DWI)中脑梗死病灶的有效性。方法 回顾性分析675例新发脑卒中DWI资料,以人工标注脑梗死病灶ROI为标准,基于10折交叉验证下的戴斯相似系数(DSC)及受试者工作特征(ROC)曲线下面积(AUC)评估语义分割法、图像阈值分割法及局部熵信息分割法分割DWI中脑梗死病灶的有效性。结果 语义分割法、图像阈值分割法及局部熵信息分割法分割DWI中脑梗死病灶的DSC分别为0.822、0.647及0.728,其AUC分别为0.905、0.778及0.849。结论 语义分割法用于分割DWI中的脑梗死病灶具有一定临床价值。 |
| 英文摘要: |
| Objective To observe the effectiveness of semantic segmentation for segmenting brain infarct lesions on diffusion weighted imaging (DWI). Methods DWI data of 675 patients with newly occurred stroke were retrospectively analyzed. Taken manually depicted ROI of brain infarct lesions as gold standards, the effectiveness of semantic segmentation, threshold segmentation and local entropy information segmentation for segmenting brain infarct lesions on DWI were evaluated with Dice similarity coefficient (DSC) under 10-fold cross-validation and the area under the curve (AUC) of receiver operating characteristic (ROC) curve. Results DSC of semantic segmentation,threshold segmentation and local entropy information segmentation was 0.822, 0.647 and 0.728, with AUC of 0.905, 0.778 and 0.849, respectively. Conclusion Semantic segmentation had curtain clinical application value for segmenting brain infarct lesions on DWI. |
| 查看全文 查看/发表评论 下载PDF阅读器 |
|
|
|
