Bai Zelin, Chen Diyou, Ma Ke, Jin Gui, Qiu Jinlong, Li Quanquan, Li Haocheng, Chen Mingsheng
Material Procurement Room, Daping Hospital, Army Medical University, Chongqing, China.
Department of Radiology, Daping Hospital, Army Medical University, Chongqing, China.
PeerJ. 2025 Jan 29;13:e18868. doi: 10.7717/peerj.18868. eCollection 2025.
The research on electromagnetic detection technology for brain diseases requires precise simulation of the human head. This article combines high-precision computed tomography (CT) images and magnetic resonance imaging (MRI) images to establish an electromagnetic numerical model of the human head with a real anatomical structure. (1) It had Asian characteristics and encompassed 14 different structures, including skin, muscles, cranial bones, cerebrospinal fluid, cerebral veins, cerebral arteries, gray matter, white matter of the brain, basal ganglia, thalamus, cerebellum, brainstem, eyeballs, and vertebrae. (2) The model used a combination of 0.625 mm-resolution CT and 1 mm-resolution MRI image data for reconstruction, with a smooth surface and high accuracy. (3) Within the simulation environment, this model enabled the generation of various brain disease scenarios, such as different types and degrees of cerebral hemorrhage and cerebral ischemia. It proved valuable for studying the distribution of electromagnetic fields in the human head and for investigating novel electromagnetic detection techniques exploiting brain tissue dielectric properties. (4) The created physical model and the numerical model were derived from the same person, which provided a good continuity between simulation experiments and physical experiments, and provided a realistic verification platform for the research of electromagnetic detection technology for brain diseases, such as differentiating the kind of stroke, monitoring brain edema, brain tumor microwave imaging, and diagnosis of Alzheimer's disease.
脑部疾病的电磁检测技术研究需要对人体头部进行精确模拟。本文结合高精度计算机断层扫描(CT)图像和磁共振成像(MRI)图像,建立了具有真实解剖结构的人体头部电磁数值模型。(1)该模型具有亚洲人特征,涵盖14种不同结构,包括皮肤、肌肉、颅骨、脑脊液、脑静脉、脑动脉、灰质、脑白质、基底神经节、丘脑、小脑、脑干、眼球和椎骨。(2)该模型使用分辨率为0.625毫米的CT和分辨率为1毫米的MRI图像数据进行重建,表面光滑,精度高。(3)在模拟环境中,该模型能够生成各种脑部疾病场景,如不同类型和程度的脑出血和脑缺血。这对于研究人体头部电磁场分布以及探索利用脑组织介电特性的新型电磁检测技术具有重要价值。(4)所创建的物理模型和数值模型来自同一人,这为模拟实验和物理实验之间提供了良好的连续性,并为脑部疾病电磁检测技术的研究提供了一个现实的验证平台,如区分中风类型、监测脑水肿、脑肿瘤微波成像以及阿尔茨海默病的诊断。