Advanced search
Publication Cover
Computer Methods in Biomechanics and Biomedical Engineering Volume 8, 2005 - Issue 1
Submit an article Journal homepage
59
Views
4
CrossRef citations to date
0
Altmetric
Original Articles

Computer system for definition of the quantitative geometry of musculature from CT images

Matej Daniel Department of Applied Mechanics and Mechatronics, Faculty of Mechanical Engineering, Technical University of Košice, Letná 9, 042-00, Košice, Slovak Republic; Laboratory of Biomechanics, Faculty of Mechanical Engineering, Czech Technical University, Technická 4, 166-07, Praha 6, Czech RepublicCorrespondence[email protected]
,
Aleš Iglič Laboratory of Applied Physics, Faculty of Electrical Engineering, University of Ljubljana, Tržaška 25, SI-1000, Ljubljana, Slovenia
,
Veronika Kralj-Iglič Department of Orthopaedic Surgery, University Medical Center, Ljubljana, Zaloška 9, SI-1000, Ljubljana, Slovenia; Institute of Biophysics, Medical Faculty, University of Ljubljana, Zaloška 9, SI-1000, Ljubljana, Slovenia
&
Svatava Konvičková Laboratory of Biomechanics, Faculty of Mechanical Engineering, Czech Technical University, Technická 4, 166-07, Praha 6, Czech Republic
Pages 25-29 | Published online: 19 Aug 2006
 
Sample our Mathematics & Statistics journals, sign in here to start your FREE access for 14 days

Abstract

The computer system for quantitative determination of musculoskeletal geometry from computer tomography (CT) images has been developed. The computer system processes series of CT images to obtain three-dimensional (3D) model of bony structures where the effective muscle fibres can be interactively defined. Presented computer system has flexible modular structure and is suitable also for educational purposes.

Acknowledgements

The research is supported by the Czech Ministry of Education project No. MSM 6840770012, by the Scientific Grant Agency of the Ministry of Education and the Slovak Academy of Sciences grant No. 1/9397/02 and by the Slovenian Ministry of Science project No. J3-6198-0312-01.

Log in via your institution

Access through your institution

Log in to Taylor & Francis Online

Restore content access

Restore content access for purchases made as guest
Purchase options * Save for later

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.