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Automated Measurement of Callus Formation

[+] Author Affiliations
Trevor J. Lujan, Meghan O’Donovan, Steve M. Madey

Legacy Research and Technology Center, Portland, OR

Chris E. Henderson

University of Iowa Hospitals and Clinics, Iowa City, IA

Dan C. Fitzpatrick

Slocum Center for Healthcare, Eugene, OR

Michael Bottlang

Legacy Research and Technology Center, Portland, ORUniversity of Iowa Hospitals and Clinics, Iowa City, IA

Paper No. SBC2009-206826, pp. 579-580; 2 pages
  • ASME 2009 Summer Bioengineering Conference
  • ASME 2009 Summer Bioengineering Conference, Parts A and B
  • Lake Tahoe, California, USA, June 17–21, 2009
  • Conference Sponsors: Bioengineering Division
  • ISBN: 978-0-7918-4891-3
  • Copyright © 2009 by ASME


The assessment of fracture healing is aided by identifying features in roentgenographs that signify bone union. In comminuted or multi-part fractures, external callus formation relates to mechanical rigidity at the fracture site.[1] However, inter- and intra-observer variability of 20–25% exists when physicians evaluate callus.[2] Furthermore, current classification systems lose information by converting continuous features into categorical variables.[3] These limitations have restricted the clinical utility of plain radiographs in retrospective evaluation of treatment course.[4,5] Image processing presents a viable means to reduce observer error, while yielding continuous results. The aim of this work was to verify, numerically and clinically, an objective method to quantify callus formation.

Copyright © 2009 by ASME



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