A three-dimensional approach to pennation angle estimation for human skeletal muscle

Pennation angle (PA) is an important property of human skeletal muscle that plays a significant role in determining the force contribution of fascicles to skeletal movement. Two-dimensional (2D) ultrasonography is the most common approach to measure PA. However, in principle, it is challenging to infer knowledge of three-dimensional (3D) architecture from 2D assessment. Furthermore, architectural complexity and variation impose more difficulties on reliable and consistent quantification of PA. Thus, the purpose of our study is to provide accurate insight into the correspondence between 2D assessment and the underlying 3D architecture. To this end, a 3D method was developed to directly quantify PA based on 3D architectural data that were acquired from cadaveric specimens through dissection and digitization. Those data were then assessed two-dimensionally by simulating ultrasound imaging. To achieve consistency over intermuscular variation, our proposed 3D method is based on the geometric analysis of fascicle attachment. Comparative results show a wide range of differences (1.1–47.1%) between 2D and 3D measurements. That is, ultrasound can under- or over-estimate PA, depending on the architecture.

[1]  C. Gans,et al.  Functional bases of fiber length and angulation in muscle , 1987, Journal of morphology.

[2]  M Gagnon,et al.  A Three‐Dimensional Digitization Method to Measure Trunk Muscle Lines of Action , 1988, Spine.

[3]  F. Zajac Muscle and tendon: properties, models, scaling, and application to biomechanics and motor control. , 1989, Critical reviews in biomedical engineering.

[4]  J. H. Koolstra,et al.  An iterative procedure to estimate muscle lines of action in vivo. , 1989, Journal of biomechanics.

[5]  R. Lieber,et al.  Architecture of selected wrist flexor and extensor muscles. , 1990, The Journal of hand surgery.

[6]  R. Lieber,et al.  Architectural design of the human intrinsic hand muscles. , 1992, The Journal of hand surgery.

[7]  R. Lieber,et al.  Architecture of selected muscles of the arm and forearm: anatomy and implications for tendon transfer. , 1992, The Journal of hand surgery.

[8]  G E Loeb,et al.  Morphometry of human thigh muscles. Determination of fascicle architecture by magnetic resonance imaging. , 1993, Journal of anatomy.

[9]  T. van Eijden,et al.  Architecture of the human jaw‐closing and jaw‐opening muscles , 1997, The Anatomical record.

[10]  M R Drost,et al.  Diffusion tensor imaging in biomechanical studies of skeletal muscle function , 1999, Journal of anatomy.

[11]  S. Delp,et al.  The isometric functional capacity of muscles that cross the elbow. , 2000, Journal of biomechanics.

[12]  M F Eijkelkamp,et al.  The Geometry of the Human Paraspinal Muscles With the Aid of Three-Dimensional Computed Tomography Scans and 3-Space Isotrak , 2000, Spine.

[13]  J. Fridén,et al.  Functional and clinical significance of skeletal muscle architecture , 2000, Muscle & nerve.

[14]  E. Fiume,et al.  Documentation and three‐dimensional modelling of human soleus muscle architecture , 2003, Clinical anatomy.

[15]  Kajeandra Ravichandiran,et al.  Three‐dimensional study of the musculotendinous architecture of supraspinatus and its functional correlations , 2007, Clinical anatomy.

[16]  Kajeandra Ravichandiran,et al.  Three‐dimensional study of the musculotendinous architecture of lumbar multifidus and its functional implications , 2008, Clinical anatomy.

[17]  Peter A Huijing,et al.  Anatomical information is needed in ultrasound imaging of muscle to avoid potentially substantial errors in measurement of muscle geometry , 2009, Muscle & nerve.

[18]  Karan Singh,et al.  Determining physiological cross-sectional area of extensor carpi radialis longus and brevis as a whole and by regions using 3D computer muscle models created from digitized fiber bundle data , 2009, Comput. Methods Programs Biomed..

[19]  Choll W. Kim,et al.  Architectural analysis and intraoperative measurements demonstrate the unique design of the multifidus muscle for lumbar spine stability. , 2009, The Journal of bone and joint surgery. American volume.

[20]  Vasilios Baltzopoulos,et al.  Muscle–tendon structure and dimensions in adults and children , 2010, Journal of anatomy.

[21]  James M Wakeling,et al.  Computational methods for quantifying in vivo muscle fascicle curvature from ultrasound images. , 2011, Journal of biomechanics.

[22]  James M Wakeling,et al.  In-vivo determination of 3D muscle architecture of human muscle using free hand ultrasound. , 2011, Journal of biomechanics.

[23]  Dinesh K. Pai,et al.  Extracting skeletal muscle fiber fields from noisy diffusion tensor data , 2011, Medical Image Anal..

[24]  Martijn Froeling,et al.  Diffusion‐tensor MRI reveals the complex muscle architecture of the human forearm , 2012, Journal of magnetic resonance imaging : JMRI.

[25]  Eugene Fiume,et al.  Robust estimation of physiological cross-sectional area and geometric reconstruction for human skeletal muscle. , 2012, Journal of biomechanics.

[26]  D Güllmar,et al.  Determination of three‐dimensional muscle architectures: validation of the DTI‐based fiber tractography method by manual digitization , 2013, Journal of anatomy.

[27]  Computer Methods in Biomechanics and Biomedical Engineering , 2013 .