Stress fracture risk analysis of the human femur based on computational biomechanics

Liming Voo, Mehran Armand, Michael Kleinberger

Research output: Contribution to journalReview article

Abstract

The lack of predictive tools to assess the relative risk of stress fracture injury has posed a great challenge for military readiness and competitive athletic training. This article presents a methodology of assessing such risks using computational models and biomechanical stress analysis in a human femur. Preliminary results have demonstrated the capability of our methodology in studying the effect of risk factors as independent variables, which would be very difficult, if not impossible, to accomplish by any other means. We have shown that certain geometric features are significant risk factors for femoral neck stress fracture. Further development of our methodology will enable more accurate prediction of stress fracture risk and will help in the design of optimal training regimens to minimize the risk of injury.

Original languageEnglish (US)
Pages (from-to)223-230
Number of pages8
JournalJohns Hopkins APL Technical Digest (Applied Physics Laboratory)
Volume25
Issue number3
StatePublished - Jul 1 2004

ASJC Scopus subject areas

  • Engineering(all)
  • Physics and Astronomy(all)

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