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

期刊

JOURNAL OF MAGNETIC RESONANCE IMAGING
卷 25, 期 2, 页码 441-451

出版社

WILEY
DOI: 10.1002/jmri.20805

关键词

skeletal muscle; biomechanics; human movement; muscle architecture; magnetic resonance imaging; dynamic imaging; musculoskeletal modeling

资金

  1. NIBIB NIH HHS [R01 EB005790, R01 EB002524] Funding Source: Medline
  2. NICHD NIH HHS [R01 HD046814, R01 HD33929] Funding Source: Medline
  3. NIGMS NIH HHS [U54 GM072970] Funding Source: Medline

向作者/读者索取更多资源

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.

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