Determination of mouse skeletal muscle architecture using three-dimensional diffusion tensor imaging
Muscle architecture is the main determinant of the mechanical behavior of skeletal muscles. This study explored the feasibility of diffusion tensor imaging (DTI) and fiber tracking to noninvasively determine the in vivo three‐dimensional (3D) architecture of skeletal muscle in mouse hind leg. In six...
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| Published in | Magnetic resonance in medicine Vol. 53; no. 6; pp. 1333 - 1340 |
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| Main Authors | , , , , |
| Format | Journal Article |
| Language | English |
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| Abstract | Muscle architecture is the main determinant of the mechanical behavior of skeletal muscles. This study explored the feasibility of diffusion tensor imaging (DTI) and fiber tracking to noninvasively determine the in vivo three‐dimensional (3D) architecture of skeletal muscle in mouse hind leg. In six mice, the hindlimb was imaged with a diffusion‐weighted (DW) 3D fast spin‐echo (FSE) sequence followed by the acquisition of an exercise‐induced, T2‐enhanced data set. The data showed the expected fiber organization, from which the physiological cross‐sectional area (PCSA), fiber length, and pennation angle for the tibialis anterior (TA) were obtained. The values of these parameters ranged from 5.4–9.1 mm2, 5.8–7.8 mm, and 21–24°, respectively, which is in agreement with values obtained previously with the use of invasive methods. This study shows that 3D DT acquisition and fiber tracking is feasible for the skeletal muscle of mice, and thus enables the quantitative determination of muscle architecture. Magn Reson Med 53:1333–1340, 2005. © 2005 Wiley‐Liss, Inc. |
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| AbstractList | Muscle architecture is the main determinant of the mechanical behavior of skeletal muscles. This study explored the feasibility of diffusion tensor imaging (DTI) and fiber tracking to noninvasively determine the in vivo three-dimensional (3D) architecture of skeletal muscle in mouse hind leg. In six mice, the hindlimb was imaged with a diffusion-weighted (DW) 3D fast spin-echo (FSE) sequence followed by the acquisition of an exercise-induced, T(2)-enhanced data set. The data showed the expected fiber organization, from which the physiological cross-sectional area (PCSA), fiber length, and pennation angle for the tibialis anterior (TA) were obtained. The values of these parameters ranged from 5.4-9.1 mm(2), 5.8-7.8 mm, and 21-24 degrees , respectively, which is in agreement with values obtained previously with the use of invasive methods. This study shows that 3D DT acquisition and fiber tracking is feasible for the skeletal muscle of mice, and thus enables the quantitative determination of muscle architecture. Abstract Muscle architecture is the main determinant of the mechanical behavior of skeletal muscles. This study explored the feasibility of diffusion tensor imaging (DTI) and fiber tracking to noninvasively determine the in vivo three‐dimensional (3D) architecture of skeletal muscle in mouse hind leg. In six mice, the hindlimb was imaged with a diffusion‐weighted (DW) 3D fast spin‐echo (FSE) sequence followed by the acquisition of an exercise‐induced, T 2 ‐enhanced data set. The data showed the expected fiber organization, from which the physiological cross‐sectional area (PCSA), fiber length, and pennation angle for the tibialis anterior (TA) were obtained. The values of these parameters ranged from 5.4–9.1 mm 2 , 5.8–7.8 mm, and 21–24°, respectively, which is in agreement with values obtained previously with the use of invasive methods. This study shows that 3D DT acquisition and fiber tracking is feasible for the skeletal muscle of mice, and thus enables the quantitative determination of muscle architecture. Magn Reson Med 53:1333–1340, 2005. © 2005 Wiley‐Liss, Inc. Muscle architecture is the main determinant of the mechanical behavior of skeletal muscles. This study explored the feasibility of diffusion tensor imaging (DTI) and fiber tracking to noninvasively determine the in vivo three-dimensional (3D) architecture of skeletal muscle in mouse hind leg. In six mice, the hindlimb was imaged with a diffusion-weighted (DW) 3D fast spin-echo (FSE) sequence followed by the acquisition of an exercise-induced, T sub(2)-enhanced data set. The data showed the expected fiber organization, from which the physiological cross-sectional area (PCSA), fiber length, and pennation angle for the tibialis anterior (TA) were obtained. The values of these parameters ranged from 5.4-9.1 mm super(2), 5.8-7.8 mm, and 21-24 degree , respectively, which is in agreement with values obtained previously with the use of invasive methods. This study shows that 3D DT acquisition and fiber tracking is feasible for the skeletal muscle of mice, and thus enables the quantitative determination of muscle architecture. Muscle architecture is the main determinant of the mechanical behavior of skeletal muscles. This study explored the feasibility of diffusion tensor imaging (DTI) and fiber tracking to noninvasively determine the in vivo three‐dimensional (3D) architecture of skeletal muscle in mouse hind leg. In six mice, the hindlimb was imaged with a diffusion‐weighted (DW) 3D fast spin‐echo (FSE) sequence followed by the acquisition of an exercise‐induced, T2‐enhanced data set. The data showed the expected fiber organization, from which the physiological cross‐sectional area (PCSA), fiber length, and pennation angle for the tibialis anterior (TA) were obtained. The values of these parameters ranged from 5.4–9.1 mm2, 5.8–7.8 mm, and 21–24°, respectively, which is in agreement with values obtained previously with the use of invasive methods. This study shows that 3D DT acquisition and fiber tracking is feasible for the skeletal muscle of mice, and thus enables the quantitative determination of muscle architecture. Magn Reson Med 53:1333–1340, 2005. © 2005 Wiley‐Liss, Inc. |
| Author | Strijkers, Gustav J. Vilanova, Anna Heemskerk, Anneriet M. Drost, Maarten R. Nicolay, Klaas |
| Author_xml | – sequence: 1 givenname: Anneriet M. surname: Heemskerk fullname: Heemskerk, Anneriet M. email: a.m.heemskerk@tue.nl organization: Biomedical NMR, Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands – sequence: 2 givenname: Gustav J. surname: Strijkers fullname: Strijkers, Gustav J. organization: Biomedical NMR, Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands – sequence: 3 givenname: Anna surname: Vilanova fullname: Vilanova, Anna organization: Biomedical Image Analysis, Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands – sequence: 4 givenname: Maarten R. surname: Drost fullname: Drost, Maarten R. organization: Department of Movement Sciences, Maastricht University, Maastricht, The Netherlands – sequence: 5 givenname: Klaas surname: Nicolay fullname: Nicolay, Klaas organization: Biomedical NMR, Department of Biomedical Engineering, Eindhoven University of Technology, Eindhoven, The Netherlands |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/15906281$$D View this record in MEDLINE/PubMed |
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| Snippet | Muscle architecture is the main determinant of the mechanical behavior of skeletal muscles. This study explored the feasibility of diffusion tensor imaging... Abstract Muscle architecture is the main determinant of the mechanical behavior of skeletal muscles. This study explored the feasibility of diffusion tensor... |
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| SubjectTerms | Animals Diffusion Magnetic Resonance Imaging - methods diffusion tensor imaging Electric Stimulation exercise-induced T2 enhancement Feasibility Studies fiber tracking Hindlimb Image Processing, Computer-Assisted Imaging, Three-Dimensional Mice Mice, Inbred C57BL muscle fiber architecture Muscle, Skeletal - physiology |
| Title | Determination of mouse skeletal muscle architecture using three-dimensional diffusion tensor imaging |
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