Share：
Share this content in WeChat
X
[Chinese][PDF]76187
• Review •
Progress indiffusion-weighted imaging of skeletal muscle
ZHANG Li  ZHANG Yanjing  DING Jianping 

Cite this article as: Zhang L, Zhang YJ, Ding JP. Progress indiffusion-weighted imaging of skeletal muscle. Chin J Magn Reson Imaging, 2019, 10(8): 633-636. DOI:10.12015/issn.1674-8034.2019.08.016.


[Abstract] The emergence of functional magnetic resonance (fMRI) technology is derived from the study of the central nervous system. Diffusion weighted imaging (DWI) is an important component of fMRI and can reflect early alterations on a cellular level. It may provide noninvasive and effective information for early diagnosis and treatment of diseases before gross anatomical changes. It has been widely used in the diagnosis and identification of central nervous system diseases, and is increasingly applied to study the changes of skeletal muscle system. In recent years, diffusion tensor imaging (DTI) and intravoxel incoherent motion (IVIM) are new magnetic resonance imaging technologies that have been rapidly developed on the basis of DWI. The purpose of this review is to provide an overview of the status progress of DTI and IVIM technology in skeletal muscle.
[Keywords] skeletal muscle；magnetic resonance imaging；diffusion tensor imaging；intravoxel incoherent motion；diffusion weighted imaging

ZHANG Li Department of Radiology, the Affiliated Hospital of Hangzhou Normal University, Hangzhou 310015, China

ZHANG Yanjing Department of Radiology, the Affiliated Hospital of Hangzhou Normal University, Hangzhou 310015, China

DING Jianping* Department of Radiology, the Affiliated Hospital of Hangzhou Normal University, Hangzhou 310015, China

*Corresponding to: Ding JP, E-mail: jpding@vip.sina.com

Conflicts of interest   None.

Received  2019-02-18
Accepted  2019-04-30
DOI: 10.12015/issn.1674-8034.2019.08.016
Cite this article as: Zhang L, Zhang YJ, Ding JP. Progress indiffusion-weighted imaging of skeletal muscle. Chin J Magn Reson Imaging, 2019, 10(8): 633-636. DOI:10.12015/issn.1674-8034.2019.08.016.

[1]
Oudeman J, Nederveen AJ, Strijkers GJ, et al. Techniques and applications of skeletal muscle diffusion tensor imaging: A review. J Magn Reson Imaging, 2016, 43(4): 773-788.
[2]
时启红，于台飞，张玉艳．正常膝关节周围肌肉DTI纤维示踪成像b值探讨．医学影像学杂志, 2013, 23(3): 461-464.
[3]
Basser PJ, Mattiello J, Lebihan D. MR diffusion tensor spectroscopy and imaging. Biophysical J, 1994, 66(1): 259-267.
[4]
付修威，陈元园，倪红艳．基于不同模型的多种新型MR扩散成像的原理与临床应用．中华放射学杂志, 2017, 51(11): 883-886.
[5]
Cermak NM, Noseworthy MD, Bourgeois JM, et al. Diffusion tensor MRI to assess skeletal muscle disruption following eccentric exercise. Muscle Nerve, 2012, 46(1): 42-50.
[6]
王秋静，赵玉娇．磁共振扩散张量成像评估女性盆底肌肉的研究进展．实用放射学杂志, 2017, 33(12): 1959-1965.
[7]
盛复庚，安宁豫．磁共振弥散张量成像的基本原理和临床应用．中国医学影像学杂志, 2003, 11(1): 56-58.
[8]
Mori S, Crain BJ, Chacko VP, et al. Three-dimensional tracking of axonal projections in the brain by magnetic resonance imaging. Ann Neurol, 2010, 45(2): 265-269.
[9]
Damon BM, Zhaohua D, Anderson AW, et al. Validation of diffusion tensor MRI-based muscle fiber tracking. Magn Reson Med, 2002, 48(1): 97-104.
[10]
Froeling M, Nederveen AJ, Nicolay K, et al. DTI of human skeletal muscle: the effects of diffusion encoding parameters, signal-to-noise ratio and T2 on tensor indices and fiber tracts. Nmr in Biomedicine, 2013, 26(11): 1339-1352.
[11]
Damon BM. Effects of image noise in muscle diffusion tensor (DT)-MRI assessed using numerical simulations. Magn Reson Med, 2010, 60(4): 934-944.
[12]
Heemskerk AM, Sinha TK, Wilson KJ, et al. Quantitative assessment of DTI-based muscle fiber tracking and optimal tracking parameters. Magn Reson Med, 2010, 61(2): 467-472.
[13]
Behrens TE, Woolrich MM, Johansen BH, et al. Characterization and propagation of uncertainty in diffusion-weighted MR imaging. Magn Reson Med, 2003, 50(5): 1077-1088.
[14]
Matthews PM, Filippini N, Douaud G. Brain structural and functional connectivity and the progression of neuropathology in alzheimer's disease. J Alzheimers Dis, 2013, 33(Suppl 1): S163-S172.
[15]
Schwenzer NF, Steidle G, Martirosian P, et al. Diffusion tensor imaging of the human calf muscle: distinct changes in fractional anisotropy and mean diffusion due to passive muscle shortening and stretching. NMR Biomed, 2009, 22(10): 1047-1053.
[16]
Sinha S, Sinha U, Edgerton VR. In vivo diffusion tensor imaging of the human calf muscle. J Magn Reson Imaging, 2010, 24(1): 182-190.
[17]
Froeling M, Oudeman J, Strijkers GJ, et al. Muscle changes detected with diffusion-tensor imaging after long-distance running. Radiology, 2015, 274(2): 548-562.
[18]
Kermarrec E, Budzik J F, Khalil C, et al. In vivo diffusion tensor imaging and tractography of human thigh muscles in healthy subjects. AJR Am J Roentgenol, 2010, 195(5): W352-356.
[19]
Yoon MA, Hong SJ, Ku MC, et al. Multiparametric MR imaging of age-related changes in healthy thigh muscles. Radiology, 2018, 287(1): 235-246.
[20]
Froeling M, Nederveen AJ, Heijtel DF, et al. Diffusion-tensor MRI reveals the complex muscle architecture of the human forearm. J Magn Reson Imaging, 2012, 36(1): 1-12.
[21]
Froeling M, Oudeman J, Van DBS, et al. Reproducibility of diffusion tensor imaging in human forearm muscles at 3.0 T in a clinical setting. Magn Reson Med, 2010, 64(4): 1182-1190.
[22]
崔璨，李娜，程悦，等. MR扩散张量成像和纤维束示踪技术评价经阴道分娩初产妇肛提肌损伤．中华解剖与临床杂志, 2016, 21(4): 306-310.
[23]
Froeling M, Nederveen AJ, Nicolay K, et al. DTI of human skeletal muscle: the effects of diffusion encoding parameters, signal-to-noise ratio and T2 on tensor indices and fiber tracts. NMR in Biomed, 2013, 26(11): 1339-1352.
[24]
Sigmund EE, Novikov DS, Sui D, et al. Time-dependent diffusion in skeletal muscle with the random permeable barrier model (RPBM): application to normal controls and chronic exertional compartment syndrome patients. NMR in Biomed, 2014, 27(5): 519-528.
[25]
Elzibak AH, Noseworthy MD. Assessment of diffusion tensor imaging indices in calf muscles following postural change from standing to supine position. MAGMA, 2014, 27(5): 387-395.
[26]
Okamoto Y, Mori S, Kujiraoka Y, et al. Diffusion property differences of the lower leg musculature between athletes and non-athletes using 1.5 T MRI. MAGMA, 2012, 25(4): 277-284.
[27]
Ryu JH, Paik IY, Woo JH, et al. Impact of different running distances on muscle and lymphocyte DNA damage in amateur marathon runners. J Phys Ther Sci, 2016, 28(2): 450-455.
[28]
Okamoto Y, Kemp GJ, Isobe T, et al. Changes in diffusion tensor imaging (DTI) eigenvalues of skeletal muscle due to hybrid exercise training. Magn Reson Imaging, 2014, 32(10): 1297-1300.
[29]
Scheel M, Prokscha T, Von Roth P, et al. Diffusion tensor imaging of skeletal muscle--correlation of fractional anisotropy to muscle power. Rofo, 2013, 185(9): 857-861.
[30]
Le BD, Breton E, Lallemand D, et al. Separation of diffusion and perfusion in intravoxel incoherent motion MR imaging. Radiology, 1988, 168(2): 497-505.
[31]
Gurney-Champion OJ, Froeling M, Klaassen R, et al. Minimizing the acquisition time for intravoxel incoherent motion magnetic resonance imaging acquisitions in the liver and pancreas. Invest Radiol, 2016, 51(4): 211-220.
[32]
Filli L, Boss A, Wurnig MC, et al. Dynamic intravoxel incoherent motion imaging of skeletal muscle at rest and after exercise. NMR Biomed, 2015, 28(2): 240-246.
[33]
Morvan D. In vivo measurement of diffusion and pseudo-diffusion in skeletal muscle at rest and after exercise. Magn Reson Imaging, 1995, 13(2): 193-199.
[34]
Sasaki M, Sumi M, Van CM, et al. Intravoxel incoherent motion imaging of masticatory muscles: pilot study for the assessment of perfusion and diffusion during clenching. AJR Am J Roentgenol, 2013, 201(5): 1101-1107.
[35]
陈玉涛，刘文华．体素内非相干运动(IVIM）扩散加权成像对骨骼肌运动血流灌注变化的相关性研究．泰山医学院学报, 2015, 36(9): 978-981.
[36]
丁宁宁，孟岩，麻少辉，等. IVIM扩散加权成像对多发性肌炎和皮肌炎的诊断价值．放射学实践, 2016, 31(7): 649-653.
[37]
丁宁宁，周丽，屈婷婷，等. IVIM扩散加权成像技术在进行性肌营养不良中的应用价值．西安交通大学学报（医学版), 2018, 39(1): 140-145.

PREV Applications of amide proton transfer weighted imaging in tumor
NEXT Static and dynamic functional connectivity analysis based on resting state functional magnetic resonance imaging and its progress
  


LINK


Tel & Fax: +8610-67113815    E-mail: editor@cjmri.cn