MIDA: A Multimodal Imaging-Based Detailed Anatomical Model of the Human Head and Neck.

MIDA: A Multimodal Imaging-Based Detailed Anatomical Model of the Human Head and Neck.
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DOI:
10.1371/journal.pone.0124126
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发表时间:
2015
期刊:
影响因子:
3.7
通讯作者:
Angelone LM
Angelone LM
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Iacono MI;Neufeld E;Akinnagbe E;Bower K;Wolf J;Vogiatzis Oikonomidis I;Sharma D;Lloyd B;Wilm BJ;Wyss M;Pruessmann KP;Jakab A;Makris N;Cohen ED;Kuster N;Kainz W;Angelone LM

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计算建模和模拟越来越多地用于补充实验测试,以分析医疗器械的安全性和有效性。在文献中已经提出了基于多体素和表面的全身和部分身体模型,通常具有1-2 mm范围内的空间分辨率和10-50种不同的组织类型。我们已经开发了一个多模态成像为基础的详细解剖模型的人的头部和颈部,命名为“MIDA”。该模型是通过整合三种不同的磁共振成像(MRI)模式获得的,其参数被定制以增强特定组织的信号:i)结构T1和T2加权MRI;具有高神经对比度的特定重T2加权MRI板,其被优化以增强耳朵和眼睛的结构; ii)磁共振血管造影(MRA)数据,用于对脉管系统成像,以及iii)扩散张量成像(DTI),用于获得关于各向异性和纤维取向的信息。独特的多模式高分辨率方法允许解析153个结构,包括几个不同的肌肉,骨骼和头骨层,动脉和静脉,神经以及唾液腺。该模型还提供了眼睛,耳朵和深层大脑结构的详细特征。一个特殊的自动地图集为基础的分割程序,包括丘脑和中脑的核团到头部模型的详细地图。该模型的适用性,涉及不同的数值方法,离散化方法,以及基于DTI的张量电导率的模拟,在一个案例研究中,其中的电场产生的经颅交流电刺激。这些模型的体素和基于表面的版本可供科学界免费使用。
Computational modeling and simulations are increasingly being used to complement experimental testing for analysis of safety and efficacy of medical devices. Multiple voxel- and surface-based whole- and partial-body models have been proposed in the literature, typically with spatial resolution in the range of 1–2 mm and with 10–50 different tissue types resolved. We have developed a multimodal imaging-based detailed anatomical model of the human head and neck, named “MIDA”. The model was obtained by integrating three different magnetic resonance imaging (MRI) modalities, the parameters of which were tailored to enhance the signals of specific tissues: i) structural T1- and T2-weighted MRIs; a specific heavily T2-weighted MRI slab with high nerve contrast optimized to enhance the structures of the ear and eye; ii) magnetic resonance angiography (MRA) data to image the vasculature, and iii) diffusion tensor imaging (DTI) to obtain information on anisotropy and fiber orientation. The unique multimodal high-resolution approach allowed resolving 153 structures, including several distinct muscles, bones and skull layers, arteries and veins, nerves, as well as salivary glands. The model offers also a detailed characterization of eyes, ears, and deep brain structures. A special automatic atlas-based segmentation procedure was adopted to include a detailed map of the nuclei of the thalamus and midbrain into the head model. The suitability of the model to simulations involving different numerical methods, discretization approaches, as well as DTI-based tensorial electrical conductivity, was examined in a case-study, in which the electric field was generated by transcranial alternating current stimulation. The voxel- and the surface-based versions of the models are freely available to the scientific community.
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