Determining Subject-Specific Lower-Limb Muscle Architecture Data for Musculoskeletal Models Using Diffusion Tensor ImagingSource: Journal of Biomechanical Engineering:;2019:;volume( 141 ):;issue: 006::page 60905DOI: 10.1115/1.4040946Publisher: American Society of Mechanical Engineers (ASME)
Abstract: Accurate individualized muscle architecture data are crucial for generating subject-specific musculoskeletal models to investigate movement and dynamic muscle function. Diffusion tensor imaging (DTI) magnetic resonance (MR) imaging has emerged as a promising method of gathering muscle architecture data in vivo; however, its accuracy in estimating parameters such as muscle fiber lengths for creating subject-specific musculoskeletal models has not been tested. Here, we provide a validation of the method of using anatomical magnetic resonance imaging (MRI) and DTI to gather muscle architecture data in vivo by directly comparing those data obtained from MR scans of three human cadaveric lower limbs to those from dissections. DTI was used to measure fiber lengths and pennation angles, while the anatomical images were used to estimate muscle mass, which were used to calculate physiological cross-sectional area (PCSA). The same data were then obtained through dissections, where it was found that on average muscle masses and fiber lengths matched well between the two methods (4% and 1% differences, respectively), while PCSA values had slightly larger differences (6%). Overall, these results suggest that DTI is a promising technique to gather in vivo muscle architecture data, but further refinement and complementary imaging techniques may be needed to realize these goals.
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contributor author | Charles, James P. | |
contributor author | Moon, Chan-Hong | |
contributor author | Anderst, William J. | |
date accessioned | 2019-09-18T09:05:31Z | |
date available | 2019-09-18T09:05:31Z | |
date copyright | 4/22/2019 12:00:00 AM | |
date issued | 2019 | |
identifier issn | 0148-0731 | |
identifier other | bio_141_06_060905 | |
identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4258754 | |
description abstract | Accurate individualized muscle architecture data are crucial for generating subject-specific musculoskeletal models to investigate movement and dynamic muscle function. Diffusion tensor imaging (DTI) magnetic resonance (MR) imaging has emerged as a promising method of gathering muscle architecture data in vivo; however, its accuracy in estimating parameters such as muscle fiber lengths for creating subject-specific musculoskeletal models has not been tested. Here, we provide a validation of the method of using anatomical magnetic resonance imaging (MRI) and DTI to gather muscle architecture data in vivo by directly comparing those data obtained from MR scans of three human cadaveric lower limbs to those from dissections. DTI was used to measure fiber lengths and pennation angles, while the anatomical images were used to estimate muscle mass, which were used to calculate physiological cross-sectional area (PCSA). The same data were then obtained through dissections, where it was found that on average muscle masses and fiber lengths matched well between the two methods (4% and 1% differences, respectively), while PCSA values had slightly larger differences (6%). Overall, these results suggest that DTI is a promising technique to gather in vivo muscle architecture data, but further refinement and complementary imaging techniques may be needed to realize these goals. | |
publisher | American Society of Mechanical Engineers (ASME) | |
title | Determining Subject-Specific Lower-Limb Muscle Architecture Data for Musculoskeletal Models Using Diffusion Tensor Imaging | |
type | Journal Paper | |
journal volume | 141 | |
journal issue | 6 | |
journal title | Journal of Biomechanical Engineering | |
identifier doi | 10.1115/1.4040946 | |
journal fristpage | 60905 | |
journal lastpage | 060905-9 | |
tree | Journal of Biomechanical Engineering:;2019:;volume( 141 ):;issue: 006 | |
contenttype | Fulltext |