Galbán Craig J, Maderwald Stefan, Uffmann Kai, de Greiff Armin, Ladd Mark E
Department of Diagnostic and Interventional Radiology OZII, University Hospital of Essen, Hufelandstrasse 55, 45122 Essen, Germany.
Eur J Appl Physiol. 2004 Dec;93(3):253-62. doi: 10.1007/s00421-004-1186-2.
The aim of this study was to examine the diffusive properties of adjacent muscles at rest, and to determine the relationship between diffusive and architectural properties, which are task-specific to muscles. The principle, second, and third eigenvalues, trace of the diffusion tensor, and two anisotropic parameters, ellipsoid eccentricity (e) and fractional anisotropy (FA), of various muscles in the human calf were calculated by diffusion tensor imaging (DTI). Linear correlations of the calculated parameters to the muscle physiological cross-sectional area (PCSA), which is proportional to maximum muscle force, were performed to ascertain any linear relation between muscle architecture and diffusivity. Images of the left calf were acquired from six healthy male volunteers. Seven muscles were investigated in this study. These comprised the soleus, lateral gastrocnemius, medial gastrocnemius, posterior tibialis, anterior tibialis, extensor digitorum longus, and peroneus longus. All data were presented as the mean and standard error of the mean (SEM). In general, differences in diffusive parameter values occurred primarily between functionally different muscles. A strong correlation was also found between PCSA and the third eigenvalue, e, and FA. A mathematical derivation revealed a linear relationship between PCSA and the third eigenvalue as a result of their dependence on the average radius of all fibers within a single muscle. These findings demonstrated the ability of DTI to differentiate between functionally different muscles in the same region of the body on the basis of their diffusive properties.
本研究的目的是检测静息状态下相邻肌肉的扩散特性，并确定扩散特性与肌肉特定任务的结构特性之间的关系。通过扩散张量成像（DTI）计算人小腿各肌肉的主、次和第三特征值、扩散张量迹以及两个各向异性参数，即椭球偏心率（e）和分数各向异性（FA）。对计算参数与肌肉生理横截面积（PCSA，与最大肌肉力量成正比）进行线性相关分析，以确定肌肉结构与扩散率之间是否存在线性关系。从六名健康男性志愿者获取左小腿图像。本研究调查了七块肌肉，包括比目鱼肌、外侧腓肠肌、内侧腓肠肌、胫后肌、胫前肌、趾长伸肌和腓骨长肌。所有数据均表示为平均值和平均标准误差（SEM）。一般来说，扩散参数值的差异主要出现在功能不同的肌肉之间。PCSA与第三特征值、e和FA之间也存在强相关性。数学推导表明，由于PCSA和第三特征值依赖于单块肌肉内所有纤维的平均半径，二者之间存在线性关系。这些发现证明了DTI能够根据扩散特性区分身体同一区域功能不同的肌肉。
