Suppr超能文献

迈向大脑解剖弹性图集。

Towards an elastographic atlas of brain anatomy.

机构信息

Department of Radiology, Charité - Universitätsmedizin Berlin, Campus Charité Mitte, Berlin, Germany.

出版信息

PLoS One. 2013 Aug 14;8(8):e71807. doi: 10.1371/journal.pone.0071807. eCollection 2013.

Abstract

Cerebral viscoelastic constants can be measured in a noninvasive, image-based way by magnetic resonance elastography (MRE) for the detection of neurological disorders. However, MRE brain maps of viscoelastic constants are still limited by low spatial resolution. Here we introduce three-dimensional multifrequency MRE of the brain combined with a novel reconstruction algorithm based on a model-free multifrequency inversion for calculating spatially resolved viscoelastic parameter maps of the human brain corresponding to the dynamic range of shear oscillations between 30 and 60 Hz. Maps of two viscoelastic parameters, the magnitude and the phase angle of the complex shear modulus, |G*| and φ, were obtained and normalized to group templates of 23 healthy volunteers in the age range of 22 to 72 years. This atlas of the anatomy of brain mechanics reveals a significant contrast in the stiffness parameter |G*| between different anatomical regions such as white matter (WM; 1.252±0.260 kPa), the corpus callosum genu (CCG; 1.104±0.280 kPa), the thalamus (TH; 1.058±0.208 kPa) and the head of the caudate nucleus (HCN; 0.649±0.101 kPa). φ, which is sensitive to the lossy behavior of the tissue, was in the order of CCG (1.011±0.172), TH (1.037±0.173), CN (0.906±0.257) and WM (0.854±0.169). The proposed method provides the first normalized maps of brain viscoelasticity with anatomical details in subcortical regions and provides useful background data for clinical applications of cerebral MRE.

摘要

脑粘弹性常数可以通过磁共振弹性成像(MRE)以非侵入性、基于图像的方式进行测量,用于检测神经疾病。然而,MRE 脑粘弹性常数图仍然受到低空间分辨率的限制。在这里,我们引入了结合基于无模型多频反演的新型重建算法的三维多频 MRE,用于计算对应于 30 至 60 Hz 之间剪切振荡动态范围的人脑空间分辨粘弹性参数图。获得了两个粘弹性参数的图谱,即复剪切模量的幅度和相位角 |G*| 和 φ,并将其归一化为 23 名年龄在 22 至 72 岁的健康志愿者的组模板。这个脑力学解剖图谱揭示了不同解剖区域之间的刚度参数 |G*| 存在显著差异,例如白质(WM;1.252±0.260 kPa)、胼胝体膝部(CCG;1.104±0.280 kPa)、丘脑(TH;1.058±0.208 kPa)和尾状核头部(HCN;0.649±0.101 kPa)。φ 对组织的损耗行为敏感,其顺序为 CCG(1.011±0.172)、TH(1.037±0.173)、CN(0.906±0.257)和 WM(0.854±0.169)。所提出的方法提供了具有皮质下区域解剖细节的脑粘弹性的第一个归一化图谱,并为脑 MRE 的临床应用提供了有用的背景数据。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/09d0/3743755/f91f9440a028/pone.0071807.g001.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验