| 王静娟,许惠娟,候亚琴,KHAREL Sudeep,姚晨阳,胡杰,张思琪,卢洁.基于深度学习重建MR MAGiC序列用于定位难治性癫痫致痫灶[J].中国医学影像技术,2025,41(9):1468~1472 |
| 基于深度学习重建MR MAGiC序列用于定位难治性癫痫致痫灶 |
| MR MAGiC sequence based on deep learning reconstruction for localizing epileptogenic focus of intractable epilepsy |
| 投稿时间：2025-03-26 修订日期：2025-09-10 |
| DOI：10.13929/j.issn.1003-3289.2025.09.003 |
| 中文关键词: 癫痫|深度学习|图像质量|致痫灶 |
| 英文关键词:epilepsy|deep learning|image quality|epileptogenic focus |
| 基金项目:国家自然科学基金(82402421)、北京自然科学基金(L246070)。 |
| 作者 | 单位 | E-mail | | 王静娟 | 首都医科大学宣武医院放射与核医学科, 北京 100053
磁共振成像脑信息学北京市重点实验室, 北京 100053 | | | 许惠娟 | 首都医科大学宣武医院放射与核医学科, 北京 100053
磁共振成像脑信息学北京市重点实验室, 北京 100053 | | | 候亚琴 | 首都医科大学宣武医院放射与核医学科, 北京 100053
磁共振成像脑信息学北京市重点实验室, 北京 100053 | | | KHAREL Sudeep | 首都医科大学宣武医院放射与核医学科, 北京 100053
磁共振成像脑信息学北京市重点实验室, 北京 100053 | | | 姚晨阳 | 首都医科大学宣武医院放射与核医学科, 北京 100053
磁共振成像脑信息学北京市重点实验室, 北京 100053 | | | 胡杰 | 首都医科大学宣武医院放射与核医学科, 北京 100053
磁共振成像脑信息学北京市重点实验室, 北京 100053 | | | 张思琪 | 首都医科大学宣武医院放射与核医学科, 北京 100053
磁共振成像脑信息学北京市重点实验室, 北京 100053 | | | 卢洁 | 首都医科大学宣武医院放射与核医学科, 北京 100053
磁共振成像脑信息学北京市重点实验室, 北京 100053 | imaginglu@hotmail.com |
|
| 摘要点击次数: 114 |
| 全文下载次数: 41 |
| 中文摘要: |
| 目的 观察基于深度学习重建(DLR)的MR MAGiC序列用于定位难治性癫痫致痫灶的价值。方法 回顾性收集50例难治性癫痫(癫痫组),另以20名健康志愿者为对照组;行颅脑MR MAGiC序列扫描,分别以传统重建(逆傅里叶变换)及以DLR进行重建,获得MAGiC及MAGiC DLR 2种图像,经后处理生成相应定量参数图,即T1 mapping、T2 mapping及质子密度(PD)mapping图,对比其图像噪声、伪影、结构清晰度及整体质量主观评分。计算癫痫组患侧与对侧、对侧或可疑致痫灶与HC组间定量参数(T1、T2和PD值)的不对称指数(AI),根据MAGiC与MAGiC DLR相应定量参数图表现、结合定量参数值AI定位致痫灶;基于手术结果、随访复查和/或脑电图及PET结果计算2种图像定位致痫灶的准确率。结果 相比MAGiC定量参数图,MAGiC DLR定量参数图噪声降低、结构清晰度及整体质量主观评分均改善(P均＜0.05);基于MAGiC及MAGiC DLR图像定位致痫灶的准确率分别为82.00%(41/50)及88.00%(44/50)。结论 基于DLR的MR MAGiC序列有助于提高定位难治性癫痫致痫灶准确率。 |
| 英文摘要: |
| Objective To explore the application value of MR MAGiC sequence reconstructed based on deep learning reconstruction (DLR) for localizing epileptogenic focus of intractable epilepsy. Methods Fifty intractable epilepsy patients (epilepsy group) and 20 healthy controls (control group) were retrospectively collected. Brain MR MAGiC sequence was scanned, then traditional reconstruction (inverse Fourier transform) and DLR algorithm were performed to obtain MAGiC and MAGiC DLR images, respectively. The corresponding quantitative parameter maps were generated after post-processing, including T1 mapping, T2 mapping and proton density (PD) mapping. The subjective scores of noise, artifacts, structural clarity and overall quality were compared between two kinds of quantitative parameter images. The asymmetry index (AI) of quantitative parameters (T1, T2 and PD values) between the affected side and the contralateral side in epilepsy group, the contralateral side or the suspected epileptogenic focus in epilepsy group and HC group were calculated. Then epileptogenic focus were localized based on performance of MAGiC and MAGiC DLR corresponding quantitative parameter maps combining obtained AI of quantitative parameter values. According to surgical results, follow-up review,electroencephalogram or PET results, the accuracy of MAGiC and MAGiC DLR images for localizing epileptogenic focus was calculated. Results Compared with MAGiC quantitative parametric maps, noise of MAGiC DLR quantitative parametric maps reduced, while subjective scores of structure clarity and overall quality improved (all P＜0.05). The accuracy of MAGiC and MAGiC DLR images for localizing epileptogenic focus was 82.00% (41/50) and 88.00% (44/50), respectively. Conclusion MR MAGiC sequence based on DLR was beneficial for improving accuracy of localizing epileptogenic focus in intractable epilepsy. |
| 查看全文 查看/发表评论 下载PDF阅读器 |
|
|
|
