Automatic bone fracture reduction by fracture contact surface identification and registration

Achia Kronman, Leo Joskowicz

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

15 Scopus citations

Abstract

Bone fracture reduction is an essential step in the treatment of orthopedic fractures. It consists of determining the position and orientation of the fractured bone fragments for their fixation with implants. This paper presents a new method for the automatic reduction of fractured bone models derived from CT scans. The method identifies the bones fracture contact surface pairs based on the fragments surfaces maximum principal curvature and their intensity profiles in the CT scan. It then aligns the two fracture surfaces by rigid registration, thereby obtaining a virtual bone fracture reduction. An experimental evaluation of 192 simulated femoral fractures derived from four clinical CT scans yielded a mean target registration error of 1.8mm (std=1.1mm).

Original languageAmerican English
Title of host publicationISBI 2013 - 2013 IEEE 10th International Symposium on Biomedical Imaging
Subtitle of host publicationFrom Nano to Macro
Pages246-249
Number of pages4
DOIs
StatePublished - 2013
Event2013 IEEE 10th International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2013 - San Francisco, CA, United States
Duration: 7 Apr 201311 Apr 2013

Publication series

NameProceedings - International Symposium on Biomedical Imaging
ISSN (Print)1945-7928
ISSN (Electronic)1945-8452

Conference

Conference2013 IEEE 10th International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2013
Country/TerritoryUnited States
CitySan Francisco, CA
Period7/04/1311/04/13

Keywords

  • Bones fracture reduction
  • computer-aided orthopedic surgery
  • fracture surface alignment
  • registration

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