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作 者:陈瑞娟[1] 李丹丹 赵松松 张圆鑫 王慧泉[1] CHEN Ruijuan;LI Dandan;ZHAO Songsong;ZHANG Yuanxin;WANG Huiquan(School of Life Sciences,Tiangong University,Tianjin 300387,China;School of Electronic and Information Engineering,Tiangong University,Tianjin 300387)
机构地区:[1]天津工业大学生命科学学院,天津300387 [2]天津工业大学电子与信息工程学院,天津300387
出 处:《生物医学工程研究》2023年第2期139-144,共6页Journal Of Biomedical Engineering Research
基 金:天津市教委科研计划项目(2019KJ023)。
摘 要:为实现对患者脑出血量的持续监测,本研究提出一种由计算机断层扫描(computed tomography,CT)和核磁共振成像(magnetic resonance imaging,MRI)引导的新型脑出血连续监测方法。该方法应用栈式自编码算法解决磁感应断层成像技术(magnetic induction tomography,MIT)逆问题,对不同出血量大小的不规则脑出血进行预测,并采用面积估算法估算脑出血量面积。将脑出血面积变化趋势与CT进行对比,结果显示,其趋势与同等状态下CT图像所示的脑出血量变化趋势相同,表明MIT对临床脑出血量的连续监测具有可行性。In order to realize the continuous monitoring of patients with cerebral hemorrhage,we proposed a new continuous monitoring method of cerebral hemorrhage guided by computed tomography(CT)and magnetic resonance imaging(MRI).The stacked autoencoder algorithm was applied to solve the inverse problem of magnetic induction tomography(MIT).The irregular cerebral hemorrhage with different bleeding amounts was predicted,and the area estimation method was used to estimate the area of cerebral hemorrhage.The trend of the cerebral hemorrhage area obtained by this method was compared with that of CT,the results showed that the trend was same as that of the cerebral hemorrhage volume showed by CT images under the same condition.It proves the feasibility and reliability of MIT application in continuous monitoring of cerebral hemorrhage volume in clinical practice.
关 键 词:脑出血量 计算机断层扫描 核磁共振成像 磁感应断层成像 深度学习
分 类 号:R318[医药卫生—生物医学工程] TH701[医药卫生—基础医学]
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