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Publication details

Document type
Journal articles

Document subtype
Full paper

Title
Pubovisceralis muscle fiber architecture determination: comparison between biomechanical modeling and diffusion tensor imaging

Participants in the publication
Sofia Brandão (Author)
Marco Parente (Author)
Elisabete Silva (Author)
Thuane Da Roza (Author)
Teresa Mascarenhas (Author)
João Leitão (Author)
João Cunha (Author)
Renato Natal Jorge (Author)
Rita Gouveia Nunes (Author)
IBEB

Date of Publication
2017-01-17

Where published
Annals of Biomedical Engineering

Publication Identifiers
ISSN - 0090-6964

Publisher
Springer Nature

Volume
45
Number
5

Starting page
1255
Last page
1265

Document Identifiers
DOI - https://doi.org/10.1007/s10439-016-1788-y
URL - http://dx.doi.org/10.1007/s10439-016-1788-y

Keywords
Pelvic floor muscles Magnetic resonance diffusion tensor imaging Computational biomechanics Finite element method


Export

APA
Sofia Brandão, Marco Parente, Elisabete Silva, Thuane Da Roza, Teresa Mascarenhas, João Leitão, João Cunha, Renato Natal Jorge, Rita Gouveia Nunes, (2017). Pubovisceralis muscle fiber architecture determination: comparison between biomechanical modeling and diffusion tensor imaging. Annals of Biomedical Engineering, 45, 1255-1265. ISSN 0090-6964. eISSN . http://dx.doi.org/10.1007/s10439-016-1788-y

IEEE
Sofia Brandão, Marco Parente, Elisabete Silva, Thuane Da Roza, Teresa Mascarenhas, João Leitão, João Cunha, Renato Natal Jorge, Rita Gouveia Nunes, "Pubovisceralis muscle fiber architecture determination: comparison between biomechanical modeling and diffusion tensor imaging" in Annals of Biomedical Engineering, vol. 45, pp. 1255-1265, 2017. 10.1007/s10439-016-1788-y

BIBTEX
@article{36594, author = {Sofia Brandão and Marco Parente and Elisabete Silva and Thuane Da Roza and Teresa Mascarenhas and João Leitão and João Cunha and Renato Natal Jorge and Rita Gouveia Nunes}, title = {Pubovisceralis muscle fiber architecture determination: comparison between biomechanical modeling and diffusion tensor imaging}, journal = {Annals of Biomedical Engineering}, year = 2017, pages = {1255-1265}, volume = 45 }