Analysis of wave patterns in MR elastography of skeletal muscle using coupled harmonic oscillator simulations

Analysis of wave patterns in MR elastography of skeletal muscle using coupled harmonic oscillator simulations. Sack, I., Bernarding, b, J., & Braun, J. Magnetic Resonance Imaging, 20(1):95-104, 2002. cited By (since 1996)40

Paper doi abstract bibtex

The ability to study muscle elasticity in vivo would be of great clinical interest. Magnetic resonance elastography (MRE) has the potential to quantify noninvasively the distribution of the shear modulus in muscle tissue. Elasticity information may be derived by extracting frequencies from the wave patterns of phase-contrast MRE images. In a new approach, MRE wave patterns were reconstructed using 3D coupled harmonic oscillator calculations (CHO). To analyze in vivo MRE measurements of the biceps brachii of healthy volunteers, different anisotropic fibrous structures for the couplings between the muscle elements have to be assumed. V-shaped wave patterns as observed when excitation was applied on the tendon were reproduced by a model, where in a central band of stiff fascicles wave propagation was about twice as fast as that in surrounding tissue. Planar waves were observed for excitation near the muscle surface. They could be reconstructed by assuming a simultaneous wave excitation of all muscle fibers, where fibers along the main muscle axis were coupled more strongly than those perpendicular to the axis. The results show that CHO calculations provide a fast and reliable method for incorporating anatomical information of the investigated tissue in the reconstruction of complex wave patterns. © 2002 Elsevier Science Inc. All rights reserved.

@article{ Sack200295,
  author = {Sack, I.a  and Bernarding, J.a  b  and Braun, J.a },
  title = {Analysis of wave patterns in MR elastography of skeletal muscle using coupled harmonic oscillator simulations},
  journal = {Magnetic Resonance Imaging},
  year = {2002},
  volume = {20},
  number = {1},
  pages = {95-104},
  note = {cited By (since 1996)40},
  url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-0036223022&partnerID=40&md5=472fecc6be0ca37a6129dc7a7bab24f4},
  affiliation = {Department of Medical Informatics, Biometry and Epidemiology, University Hospital Benjamin Franklin, 12200 Berlin, Germany; Department of Radiology, University Hospital Benjamin Franklin, 12200 Berlin, Germany},
  abstract = {The ability to study muscle elasticity in vivo would be of great clinical interest. Magnetic resonance elastography (MRE) has the potential to quantify noninvasively the distribution of the shear modulus in muscle tissue. Elasticity information may be derived by extracting frequencies from the wave patterns of phase-contrast MRE images. In a new approach, MRE wave patterns were reconstructed using 3D coupled harmonic oscillator calculations (CHO). To analyze in vivo MRE measurements of the biceps brachii of healthy volunteers, different anisotropic fibrous structures for the couplings between the muscle elements have to be assumed. V-shaped wave patterns as observed when excitation was applied on the tendon were reproduced by a model, where in a central band of stiff fascicles wave propagation was about twice as fast as that in surrounding tissue. Planar waves were observed for excitation near the muscle surface. They could be reconstructed by assuming a simultaneous wave excitation of all muscle fibers, where fibers along the main muscle axis were coupled more strongly than those perpendicular to the axis. The results show that CHO calculations provide a fast and reliable method for incorporating anatomical information of the investigated tissue in the reconstruction of complex wave patterns. © 2002 Elsevier Science Inc. All rights reserved.},
  author_keywords = {3D coupled harmonic oscillators;  Biceps brachii;  In vivo MR elastography;  Skeletal muscle},
  keywords = {anisotropy;  article;  biceps brachii muscle;  calculation;  elasticity;  elastography;  human;  human tissue;  muscle cell;  nuclear magnetic resonance imaging;  oscillator;  priority journal;  shear stress;  simulation;  skeletal muscle, Acoustic Stimulation;  Arm;  Biomechanics;  Elasticity;  Humans;  Image Processing, Computer-Assisted;  Magnetic Resonance Imaging;  Models, Statistical;  Muscle, Skeletal},
  manufacturers = {Siemens, Germany},
  references = {Fung, Y., (1993) Biomechanics mechanical properties of living tissue, , New York: Springer-Verlag; Sarvazyan, A.P., Skovoroda, A.R., Emelianov, S.Y., Fowlkes, J.B., Pipe, J.G., Adler, R.S., Buxton, R.B., Carson, P.L., (1995) Acoustical imaging, 21. , Jones JP, editor. New York: Plenum Press; Schmalbruch, H., (1985) Skeletal muscle, , Berlin Heidelberg: Springer-Verlag; Dresner, M.A., Rose, G.H., Rossman, P.J., Smith, J.A., Muthupillai, R., Ehman, R.L., Functional MR elastography of human skeletal muscle (1998) Proceedings of the 6th Conference of the International Society Magnetic Resonance Med, 463; Levinson, S.F., Shinagawa, M., Sato, T., Sonoelastic determination of human skeletal muscle elasticity (1995) J Biomechanics, 28, pp. 1145-1154; Dresner, M.A., Rose, G.H., Rossman, P.J., Muthupillai, R., Manduca, A., Ehman, R.L., Magnetic resonance elastography of skeletal muscle (2001) J Magn Reson Imaging, 13, pp. 269-276; Gao, L., Parker, K.J., Lerner, R.M., Levinson, S.F., Imaging of the elastic properties of tissue - A review (1996) Ultrasound Med Biol, 22, pp. 959-977; Lerner, R.M., Huang, S.R., Parker, K.J., "Sonoelasticity" images derived from ultrasound signals in mechanically vibrated tissues (1990) Ultrasound in Med & Biol, 16, pp. 231-239; Parker, K.J., Huang, S.R., Musulin, R.A., Lerner, R.M., Tissue response to mechanical vibrations for "sonoelasticity imaging" (1990) Ultrasound in Med & Biol, 16, pp. 241-246; Ophir, J., Cespedes, I., Ponnekanti, H., Yazdi, Y., Li, X., Elastography a quantitative method for imaging the elasticity of biological tissues (1991) Ultrasonic Imaging, 13, pp. 111-134; Fowlkes, J.B., Emelianov, S.Y., Pipe, J.G., Skovoroda, A.R., Carson, P.L., Adler, R.S., Sarvazyan, A.P., Magnetic-resonance imaging techniques for detection of elasticity variation (1995) Med Phys, 22, pp. 1771-1778; Lewa, C.J., De Certaines, J.D., MR imaging of viscoelastic properties (1995) J Magn Reson Imaging, 5, pp. 242-244; Muthupillai, R., Lomas, D.J., Rossman, P.J., Greenleaf, J.F., Manduca, A., Ehman, R.L., Magnetic resonance elastography by direct visualization of propagating acoustic strain waves (1995) Science, 269, pp. 1854-1857; Plewes, D.B., Betty, I., Urchuk, S.N., Soutar, I., Visualizing tissue compliance with MR imaging (1995) J Magn Reson Imaging, 5, pp. 733-738; Chenevert, T.L., Skovoroda, A.R., O'Donnell, M., Emelianov, S.Y., Elasticity reconstructive imaging by means of stimulated echo MRI (1998) Magn Reson Med, 39, pp. 482-490; Knutsson, H., Westin, C.J., Granlund, G., Local multiscale frequency and bandwidth estimation (1994) Proceedings of the IEEE International Conference on Image Processing, 1, pp. 36-40; Manduca, A., Muthupillai, R., Rossman, P.J., Greenleaf, J.F., Ehman, R.L., Image processing for magnetic resonance elastography (1996) Proceedings of SPIE's International Symposium Medical Imaging, 2710, pp. 616-623. , Loew MH, Hanson KM, editors; Romano, A.J., Shirron, J.J., Bucaro, J.A., On the noninvasive determination of material parameters from a knowledge of elastic displacements: Theory and numerical simulation (1998) IEEE Trans Ultrason Ferr, 45, pp. 751-759; Sinkus, R., Lorenzen, J., Schrader, D., Lorenzen, M., Dargatz, M., Holz, D., High-resolution tensor MR elastography for breast tumour detection (2000) Phys Med Biol, 45, pp. 1649-1664; Bishop, J., Samani, A., Sciarretta, J., Plewes, D., Two-dimensional MR elastography with linear inversion reconstruction: Methodology and noise analysis (2000) Phys Med Biol, 45, pp. 2081-2091; Oliphant, T.E., Manduca, A., Ehman, R.L., Greenleaf, J.F., Complex-valued stiffness reconstruction for magnetic resonance elastography by algebraic inversion of the differential equation (2001) Magn Reson Med, 45, pp. 299-310; Van Houten, E., Miga, M., Weaver, J., Kennedy, F., Paulsen, K., Three-dimensional subzone-based reconstruction algorithm for MR elastography (2001) Magn Reson Med, 45, pp. 827-837; Kruse, S.A., Smith, J.A., Lawrence, A.J., Dresner, M.A., Manduca, A., Greenleaf, J.F., Ehman, R.L., Tissue characterization using magnetic resonance elastography: Preliminary results (2000) Phys Med Biol, 45, pp. 1579-1590; Manduca, A., Oliphant, T.E., Dresner, M.A., Mahowald, J.L., Kruse, S.A., Amromin, E., Felmlee, J.P., Ehman, R.L., Magnetic resonance elastography: Non-invasive mapping of tissue elasticity (2001) Medical Image Analysis, 5, pp. 237-254; Braun, J., Buntkowsky, G., Bernarding, J., Tolxdorff, T., Sack, I., Simulation and analysis of magnetic resonance elastography wave images using coupled harmonic oscillators and Gaussian local frequency estimation (2001) Magn Reson Imaging, 19, pp. 703-713; Sack, I., Buntkowsky, G., Bernarding, J., Tolxdorff, T., Braun, J., New approach for analyzing magnetic resonance elastography images (2001) Proceedings of SPIE's International Symposium Medical Imaging, 4320, pp. 868-874. , San Diego: SPIE; Smith, J.A., Muthupillai, R., Dresner, A., Hulshizer, T.C., Greenleaf, J.F., Ehman, R.L., Tissue characterization using magnetic resonance elastography (1997) Proceedings of the 5th Conference of the International Society Magnetic Resonance Med, p. 1903},
  correspondence_address1 = {Sack, I.; Department of Medical Informatics, Univ. Hospital Benjamin Franklin, 12200 Berlin, Germany; email: i.sack@medizin.fu-berlin.de},
  issn = {0730725X},
  coden = {MRIMD},
  doi = {10.1016/S0730-725X(02)00474-5},
  pubmed_id = {11973034},
  language = {English},
  abbrev_source_title = {Magn. Reson. Imaging},
  document_type = {Article},
  source = {Scopus}
}

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{"_id":{"_str":"520904a9a9e4b91d2f0001d3"},"__v":0,"authorIDs":[],"author_short":["Sack, I.","Bernarding","b, J.","Braun, J."],"bibbaseid":"sack-bernarding-b-braun-analysisofwavepatternsinmrelastographyofskeletalmuscleusingcoupledharmonicoscillatorsimulations-2002","bibdata":{"html":"<div class=\"bibbase_paper\">\n\n\n<span class=\"bibbase_paper_titleauthoryear\">\n\t<span class=\"bibbase_paper_title\"><a name=\"Sack200295\"> </a>Analysis of wave patterns in MR elastography of skeletal muscle using coupled harmonic oscillator simulations.</span>\n\t<span class=\"bibbase_paper_author\">\nSack, I.; Bernarding; b, J.; and Braun, J.</span>\n\t\n</span>\n\n\n\n<i>Magnetic Resonance Imaging</i>,\n\n20(1):95-104.\n\n 2002.\n\n\ncited By (since 1996)40.\n\n<br class=\"bibbase_paper_content\"/>\n\n<span class=\"bibbase_paper_content\">\n \n \n \n \n \n\n <a href=\"http://www.scopus.com/inward/record.url?eid=2-s2.0-0036223022&partnerID=40&md5=472fecc6be0ca37a6129dc7a7bab24f4\"\n onclick=\"javascript:log_download('sack-bernarding-b-braun-analysisofwavepatternsinmrelastographyofskeletalmuscleusingcoupledharmonicoscillatorsimulations-2002', 'http://www.scopus.com/inward/record.url?eid=2-s2.0-0036223022&partnerID=40&md5=472fecc6be0ca37a6129dc7a7bab24f4')\">\n <img src=\"http://www.bibbase.org/img/filetypes/blank.png\"\n\t alt=\"Analysis of wave patterns in MR elastography of skeletal muscle using coupled harmonic oscillator simulations [.0-0036223022&partnerID=40&md5=472fecc6be0ca37a6129dc7a7bab24f4]\" \n\t class=\"bibbase_icon\"\n\t style=\"width: 24px; height: 24px; border: 0px; vertical-align: text-top\" ><span class=\"bibbase_icon_text\">Paper</span></a> \n \n \n <a href=\"javascript:showBib('Sack200295')\">\n <img src=\"http://www.bibbase.org/img/filetypes/bib.png\" \n\t alt=\"Analysis of wave patterns in MR elastography of skeletal muscle using coupled harmonic oscillator simulations [bib]\" \n\t class=\"bibbase_icon\"\n\t style=\"width: 24px; height: 24px; border: 0px; vertical-align: text-top\"><span class=\"bibbase_icon_text\">Bibtex</span></a>\n \n   \n\n \n \n  \n \n \n\n \n <a class=\"bibbase_abstract_link\" href=\"javascript:showAbstract('Sack200295')\">Abstract</a>\n \n \n</span>\n\n\n\n\n\n\n\n</div>\n","downloads":0,"abbrev_source_title":"Magn. Reson. Imaging","abstract":"The ability to study muscle elasticity in vivo would be of great clinical interest. Magnetic resonance elastography (MRE) has the potential to quantify noninvasively the distribution of the shear modulus in muscle tissue. Elasticity information may be derived by extracting frequencies from the wave patterns of phase-contrast MRE images. In a new approach, MRE wave patterns were reconstructed using 3D coupled harmonic oscillator calculations (CHO). To analyze in vivo MRE measurements of the biceps brachii of healthy volunteers, different anisotropic fibrous structures for the couplings between the muscle elements have to be assumed. V-shaped wave patterns as observed when excitation was applied on the tendon were reproduced by a model, where in a central band of stiff fascicles wave propagation was about twice as fast as that in surrounding tissue. Planar waves were observed for excitation near the muscle surface. They could be reconstructed by assuming a simultaneous wave excitation of all muscle fibers, where fibers along the main muscle axis were coupled more strongly than those perpendicular to the axis. The results show that CHO calculations provide a fast and reliable method for incorporating anatomical information of the investigated tissue in the reconstruction of complex wave patterns. © 2002 Elsevier Science Inc. All rights reserved.","affiliation":"Department of Medical Informatics, Biometry and Epidemiology, University Hospital Benjamin Franklin, 12200 Berlin, Germany; Department of Radiology, University Hospital Benjamin Franklin, 12200 Berlin, Germany","author":["Sack, I.a","Bernarding","b, J.a","Braun, J.a"],"author_keywords":"3D coupled harmonic oscillators; Biceps brachii; In vivo MR elastography; Skeletal muscle","author_short":["Sack, I.","Bernarding","b, J.","Braun, J."],"bibtex":"@article{ Sack200295,\n author = {Sack, I.a and Bernarding, J.a b and Braun, J.a },\n title = {Analysis of wave patterns in MR elastography of skeletal muscle using coupled harmonic oscillator simulations},\n journal = {Magnetic Resonance Imaging},\n year = {2002},\n volume = {20},\n number = {1},\n pages = {95-104},\n note = {cited By (since 1996)40},\n url = {http://www.scopus.com/inward/record.url?eid=2-s2.0-0036223022&partnerID=40&md5=472fecc6be0ca37a6129dc7a7bab24f4},\n affiliation = {Department of Medical Informatics, Biometry and Epidemiology, University Hospital Benjamin Franklin, 12200 Berlin, Germany; Department of Radiology, University Hospital Benjamin Franklin, 12200 Berlin, Germany},\n abstract = {The ability to study muscle elasticity in vivo would be of great clinical interest. Magnetic resonance elastography (MRE) has the potential to quantify noninvasively the distribution of the shear modulus in muscle tissue. Elasticity information may be derived by extracting frequencies from the wave patterns of phase-contrast MRE images. In a new approach, MRE wave patterns were reconstructed using 3D coupled harmonic oscillator calculations (CHO). To analyze in vivo MRE measurements of the biceps brachii of healthy volunteers, different anisotropic fibrous structures for the couplings between the muscle elements have to be assumed. V-shaped wave patterns as observed when excitation was applied on the tendon were reproduced by a model, where in a central band of stiff fascicles wave propagation was about twice as fast as that in surrounding tissue. Planar waves were observed for excitation near the muscle surface. They could be reconstructed by assuming a simultaneous wave excitation of all muscle fibers, where fibers along the main muscle axis were coupled more strongly than those perpendicular to the axis. The results show that CHO calculations provide a fast and reliable method for incorporating anatomical information of the investigated tissue in the reconstruction of complex wave patterns. © 2002 Elsevier Science Inc. All rights reserved.},\n author_keywords = {3D coupled harmonic oscillators; Biceps brachii; In vivo MR elastography; Skeletal muscle},\n keywords = {anisotropy; article; biceps brachii muscle; calculation; elasticity; elastography; human; human tissue; muscle cell; nuclear magnetic resonance imaging; oscillator; priority journal; shear stress; simulation; skeletal muscle, Acoustic Stimulation; Arm; Biomechanics; Elasticity; Humans; Image Processing, Computer-Assisted; Magnetic Resonance Imaging; Models, Statistical; Muscle, Skeletal},\n manufacturers = {Siemens, Germany},\n references = {Fung, Y., (1993) Biomechanics mechanical properties of living tissue, , New York: Springer-Verlag; Sarvazyan, A.P., Skovoroda, A.R., Emelianov, S.Y., Fowlkes, J.B., Pipe, J.G., Adler, R.S., Buxton, R.B., Carson, P.L., (1995) Acoustical imaging, 21. , Jones JP, editor. New York: Plenum Press; Schmalbruch, H., (1985) Skeletal muscle, , Berlin Heidelberg: Springer-Verlag; Dresner, M.A., Rose, G.H., Rossman, P.J., Smith, J.A., Muthupillai, R., Ehman, R.L., Functional MR elastography of human skeletal muscle (1998) Proceedings of the 6th Conference of the International Society Magnetic Resonance Med, 463; Levinson, S.F., Shinagawa, M., Sato, T., Sonoelastic determination of human skeletal muscle elasticity (1995) J Biomechanics, 28, pp. 1145-1154; Dresner, M.A., Rose, G.H., Rossman, P.J., Muthupillai, R., Manduca, A., Ehman, R.L., Magnetic resonance elastography of skeletal muscle (2001) J Magn Reson Imaging, 13, pp. 269-276; Gao, L., Parker, K.J., Lerner, R.M., Levinson, S.F., Imaging of the elastic properties of tissue - A review (1996) Ultrasound Med Biol, 22, pp. 959-977; Lerner, R.M., Huang, S.R., Parker, K.J., \"Sonoelasticity\" images derived from ultrasound signals in mechanically vibrated tissues (1990) Ultrasound in Med & Biol, 16, pp. 231-239; Parker, K.J., Huang, S.R., Musulin, R.A., Lerner, R.M., Tissue response to mechanical vibrations for \"sonoelasticity imaging\" (1990) Ultrasound in Med & Biol, 16, pp. 241-246; Ophir, J., Cespedes, I., Ponnekanti, H., Yazdi, Y., Li, X., Elastography a quantitative method for imaging the elasticity of biological tissues (1991) Ultrasonic Imaging, 13, pp. 111-134; Fowlkes, J.B., Emelianov, S.Y., Pipe, J.G., Skovoroda, A.R., Carson, P.L., Adler, R.S., Sarvazyan, A.P., Magnetic-resonance imaging techniques for detection of elasticity variation (1995) Med Phys, 22, pp. 1771-1778; Lewa, C.J., De Certaines, J.D., MR imaging of viscoelastic properties (1995) J Magn Reson Imaging, 5, pp. 242-244; Muthupillai, R., Lomas, D.J., Rossman, P.J., Greenleaf, J.F., Manduca, A., Ehman, R.L., Magnetic resonance elastography by direct visualization of propagating acoustic strain waves (1995) Science, 269, pp. 1854-1857; Plewes, D.B., Betty, I., Urchuk, S.N., Soutar, I., Visualizing tissue compliance with MR imaging (1995) J Magn Reson Imaging, 5, pp. 733-738; Chenevert, T.L., Skovoroda, A.R., O'Donnell, M., Emelianov, S.Y., Elasticity reconstructive imaging by means of stimulated echo MRI (1998) Magn Reson Med, 39, pp. 482-490; Knutsson, H., Westin, C.J., Granlund, G., Local multiscale frequency and bandwidth estimation (1994) Proceedings of the IEEE International Conference on Image Processing, 1, pp. 36-40; Manduca, A., Muthupillai, R., Rossman, P.J., Greenleaf, J.F., Ehman, R.L., Image processing for magnetic resonance elastography (1996) Proceedings of SPIE's International Symposium Medical Imaging, 2710, pp. 616-623. , Loew MH, Hanson KM, editors; Romano, A.J., Shirron, J.J., Bucaro, J.A., On the noninvasive determination of material parameters from a knowledge of elastic displacements: Theory and numerical simulation (1998) IEEE Trans Ultrason Ferr, 45, pp. 751-759; Sinkus, R., Lorenzen, J., Schrader, D., Lorenzen, M., Dargatz, M., Holz, D., High-resolution tensor MR elastography for breast tumour detection (2000) Phys Med Biol, 45, pp. 1649-1664; Bishop, J., Samani, A., Sciarretta, J., Plewes, D., Two-dimensional MR elastography with linear inversion reconstruction: Methodology and noise analysis (2000) Phys Med Biol, 45, pp. 2081-2091; Oliphant, T.E., Manduca, A., Ehman, R.L., Greenleaf, J.F., Complex-valued stiffness reconstruction for magnetic resonance elastography by algebraic inversion of the differential equation (2001) Magn Reson Med, 45, pp. 299-310; Van Houten, E., Miga, M., Weaver, J., Kennedy, F., Paulsen, K., Three-dimensional subzone-based reconstruction algorithm for MR elastography (2001) Magn Reson Med, 45, pp. 827-837; Kruse, S.A., Smith, J.A., Lawrence, A.J., Dresner, M.A., Manduca, A., Greenleaf, J.F., Ehman, R.L., Tissue characterization using magnetic resonance elastography: Preliminary results (2000) Phys Med Biol, 45, pp. 1579-1590; Manduca, A., Oliphant, T.E., Dresner, M.A., Mahowald, J.L., Kruse, S.A., Amromin, E., Felmlee, J.P., Ehman, R.L., Magnetic resonance elastography: Non-invasive mapping of tissue elasticity (2001) Medical Image Analysis, 5, pp. 237-254; Braun, J., Buntkowsky, G., Bernarding, J., Tolxdorff, T., Sack, I., Simulation and analysis of magnetic resonance elastography wave images using coupled harmonic oscillators and Gaussian local frequency estimation (2001) Magn Reson Imaging, 19, pp. 703-713; Sack, I., Buntkowsky, G., Bernarding, J., Tolxdorff, T., Braun, J., New approach for analyzing magnetic resonance elastography images (2001) Proceedings of SPIE's International Symposium Medical Imaging, 4320, pp. 868-874. , San Diego: SPIE; Smith, J.A., Muthupillai, R., Dresner, A., Hulshizer, T.C., Greenleaf, J.F., Ehman, R.L., Tissue characterization using magnetic resonance elastography (1997) Proceedings of the 5th Conference of the International Society Magnetic Resonance Med, p. 1903},\n correspondence_address1 = {Sack, I.; Department of Medical Informatics, Univ. Hospital Benjamin Franklin, 12200 Berlin, Germany; email: i.sack@medizin.fu-berlin.de},\n issn = {0730725X},\n coden = {MRIMD},\n doi = {10.1016/S0730-725X(02)00474-5},\n pubmed_id = {11973034},\n language = {English},\n abbrev_source_title = {Magn. Reson. Imaging},\n document_type = {Article},\n source = {Scopus}\n}","bibtype":"article","coden":"MRIMD","correspondence_address1":"Sack, I.; Department of Medical Informatics, Univ. Hospital Benjamin Franklin, 12200 Berlin, Germany; email: i.sack@medizin.fu-berlin.de","document_type":"Article","doi":"10.1016/S0730-725X(02)00474-5","id":"Sack200295","issn":"0730725X","journal":"Magnetic Resonance Imaging","key":"Sack200295","keywords":"anisotropy; article; biceps brachii muscle; calculation; elasticity; elastography; human; human tissue; muscle cell; nuclear magnetic resonance imaging; oscillator; priority journal; shear stress; simulation; skeletal muscle, Acoustic Stimulation; Arm; Biomechanics; Elasticity; Humans; Image Processing, Computer-Assisted; Magnetic Resonance Imaging; Models, Statistical; Muscle, Skeletal","language":"English","manufacturers":"Siemens, Germany","note":"cited By (since 1996)40","number":"1","pages":"95-104","pubmed_id":"11973034","references":"Fung, Y., (1993) Biomechanics mechanical properties of living tissue, , New York: Springer-Verlag; Sarvazyan, A.P., Skovoroda, A.R., Emelianov, S.Y., Fowlkes, J.B., Pipe, J.G., Adler, R.S., Buxton, R.B., Carson, P.L., (1995) Acoustical imaging, 21. , Jones JP, editor. New York: Plenum Press; Schmalbruch, H., (1985) Skeletal muscle, , Berlin Heidelberg: Springer-Verlag; Dresner, M.A., Rose, G.H., Rossman, P.J., Smith, J.A., Muthupillai, R., Ehman, R.L., Functional MR elastography of human skeletal muscle (1998) Proceedings of the 6th Conference of the International Society Magnetic Resonance Med, 463; Levinson, S.F., Shinagawa, M., Sato, T., Sonoelastic determination of human skeletal muscle elasticity (1995) J Biomechanics, 28, pp. 1145-1154; Dresner, M.A., Rose, G.H., Rossman, P.J., Muthupillai, R., Manduca, A., Ehman, R.L., Magnetic resonance elastography of skeletal muscle (2001) J Magn Reson Imaging, 13, pp. 269-276; Gao, L., Parker, K.J., Lerner, R.M., Levinson, S.F., Imaging of the elastic properties of tissue - A review (1996) Ultrasound Med Biol, 22, pp. 959-977; Lerner, R.M., Huang, S.R., Parker, K.J., \"Sonoelasticity\" images derived from ultrasound signals in mechanically vibrated tissues (1990) Ultrasound in Med & Biol, 16, pp. 231-239; Parker, K.J., Huang, S.R., Musulin, R.A., Lerner, R.M., Tissue response to mechanical vibrations for \"sonoelasticity imaging\" (1990) Ultrasound in Med & Biol, 16, pp. 241-246; Ophir, J., Cespedes, I., Ponnekanti, H., Yazdi, Y., Li, X., Elastography a quantitative method for imaging the elasticity of biological tissues (1991) Ultrasonic Imaging, 13, pp. 111-134; Fowlkes, J.B., Emelianov, S.Y., Pipe, J.G., Skovoroda, A.R., Carson, P.L., Adler, R.S., Sarvazyan, A.P., Magnetic-resonance imaging techniques for detection of elasticity variation (1995) Med Phys, 22, pp. 1771-1778; Lewa, C.J., De Certaines, J.D., MR imaging of viscoelastic properties (1995) J Magn Reson Imaging, 5, pp. 242-244; Muthupillai, R., Lomas, D.J., Rossman, P.J., Greenleaf, J.F., Manduca, A., Ehman, R.L., Magnetic resonance elastography by direct visualization of propagating acoustic strain waves (1995) Science, 269, pp. 1854-1857; Plewes, D.B., Betty, I., Urchuk, S.N., Soutar, I., Visualizing tissue compliance with MR imaging (1995) J Magn Reson Imaging, 5, pp. 733-738; Chenevert, T.L., Skovoroda, A.R., O'Donnell, M., Emelianov, S.Y., Elasticity reconstructive imaging by means of stimulated echo MRI (1998) Magn Reson Med, 39, pp. 482-490; Knutsson, H., Westin, C.J., Granlund, G., Local multiscale frequency and bandwidth estimation (1994) Proceedings of the IEEE International Conference on Image Processing, 1, pp. 36-40; Manduca, A., Muthupillai, R., Rossman, P.J., Greenleaf, J.F., Ehman, R.L., Image processing for magnetic resonance elastography (1996) Proceedings of SPIE's International Symposium Medical Imaging, 2710, pp. 616-623. , Loew MH, Hanson KM, editors; Romano, A.J., Shirron, J.J., Bucaro, J.A., On the noninvasive determination of material parameters from a knowledge of elastic displacements: Theory and numerical simulation (1998) IEEE Trans Ultrason Ferr, 45, pp. 751-759; Sinkus, R., Lorenzen, J., Schrader, D., Lorenzen, M., Dargatz, M., Holz, D., High-resolution tensor MR elastography for breast tumour detection (2000) Phys Med Biol, 45, pp. 1649-1664; Bishop, J., Samani, A., Sciarretta, J., Plewes, D., Two-dimensional MR elastography with linear inversion reconstruction: Methodology and noise analysis (2000) Phys Med Biol, 45, pp. 2081-2091; Oliphant, T.E., Manduca, A., Ehman, R.L., Greenleaf, J.F., Complex-valued stiffness reconstruction for magnetic resonance elastography by algebraic inversion of the differential equation (2001) Magn Reson Med, 45, pp. 299-310; Van Houten, E., Miga, M., Weaver, J., Kennedy, F., Paulsen, K., Three-dimensional subzone-based reconstruction algorithm for MR elastography (2001) Magn Reson Med, 45, pp. 827-837; Kruse, S.A., Smith, J.A., Lawrence, A.J., Dresner, M.A., Manduca, A., Greenleaf, J.F., Ehman, R.L., Tissue characterization using magnetic resonance elastography: Preliminary results (2000) Phys Med Biol, 45, pp. 1579-1590; Manduca, A., Oliphant, T.E., Dresner, M.A., Mahowald, J.L., Kruse, S.A., Amromin, E., Felmlee, J.P., Ehman, R.L., Magnetic resonance elastography: Non-invasive mapping of tissue elasticity (2001) Medical Image Analysis, 5, pp. 237-254; 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