Image-based musculoskeletal modeling: Applications, advances, and future opportunities

被引:172
作者
Blemker, Silvia S.
Asakawa, Deanna S.
Gold, Garry E.
Delp, Scott L.
机构
[1] Univ Virginia, Dept Mech & Aerosp Engn, Charlottesville, VA 22904 USA
[2] Stanford Univ, Dept Bioengn, Stanford, CA 94305 USA
[3] Stanford Univ, Dept Mech Engn, Stanford, CA 94305 USA
[4] Stanford Univ, Dept Radiol, Stanford, CA 94305 USA
[5] Univ Virginia, Dept Biomed Engn, Charlottesville, VA 22904 USA
关键词
skeletal muscle; biomechanics; human movement; muscle architecture; magnetic resonance imaging; dynamic imaging; musculoskeletal modeling;
D O I
10.1002/jmri.20805
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 [临床医学]; 100207 [影像医学与核医学]; 1009 [特种医学];
摘要
Computer models of the musculoskeletal system are broadly used to study the mechanisms of musculoskeletal disorders and to simulate surgical treatments. Musculoskeletal models have historically been created based on data derived in anatomical and biomechanical studies of cadaveric specimens. MRI offers an abundance of novel methods for acquisition of data from living subjects and is revolutionizing the field of musculoskeletal modeling. The need to create accurate, individualized models of the musculoskeletal system is driving advances in MRI techniques including static imaging, dynamic imaging, diffusion imaging, body imaging, pulse-sequence design, and coil design. These techniques apply to imaging musculoskeletal anatomy, muscle architecture, joint motions, muscle moment arms, and muscle tissue deformations. Further advancements in image-based musculoskeletal modeling will expand the accuracy and utility of models used to study musculoskeletal and neuromuscular impairments.
引用
收藏
页码:441 / 451
页数:11
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