Accurate characterization of the craniomaxillofacial (CMF) skeleton using finite element (FE) modeling requires representation of complex geometries, heterogeneous material distributions, and physiological loading. Musculature in CMF FE models are often modeled with simple link elements that do not account for fiber bundles (FBs) and their differential activation. Magnetic resonance (MR) diffusion-tensor imaging (DTI) enables reconstruction of the three-dimensional (3D) FB arrangement within a muscle. However, 3D quantitative validation of DTI-generated FBs is limited. This study compares 3D FB arrangement in terms of pennation angle (PA) and fiber bundle length (FBL) generated through DTI in a human masseter to manual digitization. CT, MR-proton density, and MR-DTI images were acquired from a single cadaveric specimen. Bone and masseter surfaces were reconstructed from CT and MR-proton density images, respectively. PA and FBL were estimated from FBs reconstructed from MR-DTI images using a streamline tracking (STT) algorithm (n = 193) and FBs identified through manual digitization (n = 181) and compared using the Mann–Whitney test. DTI-derived PAs did not differ from the digitized data (p = 0.411), suggesting that MR-DTI can be used to simulate FB orientation and the directionality of transmitted forces. Conversely, a significant difference was observed in FBL (p < 0.01) which may have resulted due to the tractography stopping criterion leading to early tract termination and greater length variability. Overall, this study demonstrated that DTI can yield muscle FB orientation data suitable to representative directionality of physiologic muscle loading in patient-specific CMF FE modeling.
Skip Nav Destination
Article navigation
November 2018
Research-Article
Diffusion-Tensor Imaging Versus Digitization in Reconstructing the Masseter Architecture
Cristina Falcinelli,
Cristina Falcinelli
Orthopaedic Biomechanics Laboratory,
Sunnybrook Research Institute,
2075 Bayview Avenue,
Toronto, ON M4N 3M5, Canada
e-mails: cristina.falcinelli@sunnybrook.ca; c.falcinelli@unicampus.it
Sunnybrook Research Institute,
2075 Bayview Avenue,
Toronto, ON M4N 3M5, Canada
e-mails: cristina.falcinelli@sunnybrook.ca; c.falcinelli@unicampus.it
Search for other works by this author on:
Zhi Li,
Zhi Li
Musculoskeletal Anatomy Laboratory,
Division of Anatomy,
Faculty of Medicine,
University of Toronto,
1 King's College Circle, Room 1158,
Toronto, ON M5S 1A8, Canada
e-mail: jameszhi.li@mail.utoronto.ca
Division of Anatomy,
Faculty of Medicine,
University of Toronto,
1 King's College Circle, Room 1158,
Toronto, ON M5S 1A8, Canada
e-mail: jameszhi.li@mail.utoronto.ca
Search for other works by this author on:
Wilfred W. Lam,
Wilfred W. Lam
Physical Sciences,
Sunnybrook Research Institute,
Room S6 05 2075 Bayview Avenue,
Toronto, ON M4N 3M5, Canada
e-mail: lamw@sri.utoronto.ca
Sunnybrook Research Institute,
Room S6 05 2075 Bayview Avenue,
Toronto, ON M4N 3M5, Canada
e-mail: lamw@sri.utoronto.ca
Search for other works by this author on:
Greg J. Stanisz,
Greg J. Stanisz
Physical Sciences,
Sunnybrook Research Institute,
Room S6 72 2075 Bayview Avenue,
Toronto, ON M4N 3M5, Canada
e-mail: stanisz@sri.utoronto.ca
Sunnybrook Research Institute,
Room S6 72 2075 Bayview Avenue,
Toronto, ON M4N 3M5, Canada
e-mail: stanisz@sri.utoronto.ca
Search for other works by this author on:
Anne M. Agur,
Anne M. Agur
Musculoskeletal Anatomy Laboratory,
Division of Anatomy,
Faculty of Medicine,
University of Toronto,
1 King's College Circle, Room 1158,
Toronto, ON M5S 1A8, Canada
e-mail: anne.agur@utoronto.ca
Division of Anatomy,
Faculty of Medicine,
University of Toronto,
1 King's College Circle, Room 1158,
Toronto, ON M5S 1A8, Canada
e-mail: anne.agur@utoronto.ca
Search for other works by this author on:
Cari M. Whyne
Cari M. Whyne
Orthopaedic Biomechanics Laboratory,
Sunnybrook Research Institute,
Room S6 20 2075 Bayview Avenue,
Toronto, ON M4N 3M5, Canada
e-mail: cwhyne@sri.utoronto.ca
Sunnybrook Research Institute,
Room S6 20 2075 Bayview Avenue,
Toronto, ON M4N 3M5, Canada
e-mail: cwhyne@sri.utoronto.ca
Search for other works by this author on:
Cristina Falcinelli
Orthopaedic Biomechanics Laboratory,
Sunnybrook Research Institute,
2075 Bayview Avenue,
Toronto, ON M4N 3M5, Canada
e-mails: cristina.falcinelli@sunnybrook.ca; c.falcinelli@unicampus.it
Sunnybrook Research Institute,
2075 Bayview Avenue,
Toronto, ON M4N 3M5, Canada
e-mails: cristina.falcinelli@sunnybrook.ca; c.falcinelli@unicampus.it
Zhi Li
Musculoskeletal Anatomy Laboratory,
Division of Anatomy,
Faculty of Medicine,
University of Toronto,
1 King's College Circle, Room 1158,
Toronto, ON M5S 1A8, Canada
e-mail: jameszhi.li@mail.utoronto.ca
Division of Anatomy,
Faculty of Medicine,
University of Toronto,
1 King's College Circle, Room 1158,
Toronto, ON M5S 1A8, Canada
e-mail: jameszhi.li@mail.utoronto.ca
Wilfred W. Lam
Physical Sciences,
Sunnybrook Research Institute,
Room S6 05 2075 Bayview Avenue,
Toronto, ON M4N 3M5, Canada
e-mail: lamw@sri.utoronto.ca
Sunnybrook Research Institute,
Room S6 05 2075 Bayview Avenue,
Toronto, ON M4N 3M5, Canada
e-mail: lamw@sri.utoronto.ca
Greg J. Stanisz
Physical Sciences,
Sunnybrook Research Institute,
Room S6 72 2075 Bayview Avenue,
Toronto, ON M4N 3M5, Canada
e-mail: stanisz@sri.utoronto.ca
Sunnybrook Research Institute,
Room S6 72 2075 Bayview Avenue,
Toronto, ON M4N 3M5, Canada
e-mail: stanisz@sri.utoronto.ca
Anne M. Agur
Musculoskeletal Anatomy Laboratory,
Division of Anatomy,
Faculty of Medicine,
University of Toronto,
1 King's College Circle, Room 1158,
Toronto, ON M5S 1A8, Canada
e-mail: anne.agur@utoronto.ca
Division of Anatomy,
Faculty of Medicine,
University of Toronto,
1 King's College Circle, Room 1158,
Toronto, ON M5S 1A8, Canada
e-mail: anne.agur@utoronto.ca
Cari M. Whyne
Orthopaedic Biomechanics Laboratory,
Sunnybrook Research Institute,
Room S6 20 2075 Bayview Avenue,
Toronto, ON M4N 3M5, Canada
e-mail: cwhyne@sri.utoronto.ca
Sunnybrook Research Institute,
Room S6 20 2075 Bayview Avenue,
Toronto, ON M4N 3M5, Canada
e-mail: cwhyne@sri.utoronto.ca
1Present address: Department of Engineering, Campus Bio-Medico University of Rome, Via Alvaro del Portillo 21, Rome 00128, Italy.
Manuscript received January 9, 2018; final manuscript received September 19, 2018; published online October 4, 2018. Assoc. Editor: Anna Pandolfi.
J Biomech Eng. Nov 2018, 140(11): 111010 (6 pages)
Published Online: October 4, 2018
Article history
Received:
January 9, 2018
Revised:
September 19, 2018
Citation
Falcinelli, C., Li, Z., Lam, W. W., Stanisz, G. J., Agur, A. M., and Whyne, C. M. (October 4, 2018). "Diffusion-Tensor Imaging Versus Digitization in Reconstructing the Masseter Architecture." ASME. J Biomech Eng. November 2018; 140(11): 111010. https://doi.org/10.1115/1.4041541
Download citation file:
Get Email Alerts
Cited By
Related Articles
Determining Subject-Specific Lower-Limb Muscle Architecture Data for Musculoskeletal Models Using Diffusion Tensor Imaging
J Biomech Eng (June,2019)
Quantifying the Fascicular Changes in Recovered Achilles Tendon Patients Using Diffusion Magnetic Resonance Imaging and Tractography
ASME J of Medical Diagnostics (August,2025)
Method and Apparatus for Soft Tissue Material Parameter Estimation Using Tissue Tagged Magnetic Resonance Imaging
J Biomech Eng (February,2005)
Related Proceedings Papers
Related Chapters
Using Statistical Learning Theory to Improve Treatment Response for Metastatic Colorectal Carcinoma
Intelligent Engineering Systems through Artificial Neural Networks, Volume 20
Radial Delayed Hydride Cracking in Irradiated Zircaloy-2 Cladding: Advanced Characterization Techniques
Zirconium in the Nuclear Industry: 20th International Symposium
Modeling Noise in a Framework to Optimize the Detection of Anomalies in Hyperspectral Imaging
Intelligent Engineering Systems through Artificial Neural Networks, Volume 20