Fully Automatic Detection of Distal Radius Fractures from Posteroanterior and Lateral Radiographs

Raja Ebsim*, Jawad Naqvi, Tim Cootes

*Corresponding author for this work

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

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Abstract

We describe a fully-automated system for analysing X-rays of the wrist to identify possible fractures. Fractures of the distal radius in the wrist are estimated to be about 18% of the fractures seen in adults and 25% of those seen in children. Unfortunately such fractures are amongst the most frequently missed by doctors in Emergency Departments (EDs). A system which can identify suspicious areas could reduce the number of misdiagnoses. We automatically locate the outline of the radius in both posteroanterior (PA) and lateral (LAT) radiographs, then use shape and texture features to classify abnormalities. We show for the first time that fractures can be better identified in the lateral view, and that combining information from both views leads to an overall improvement in performance.

Original languageEnglish
Title of host publicationComputer Assisted and Robotic Endoscopy and Clinical Image-Based Procedures - 4th International Workshop, CARE 2017 and 6th International Workshop, CLIP 2017 Held in Conjunction with MICCAI 2017, Proceedings
PublisherSpringer Nature
Pages91-98
Number of pages8
Volume10550 LNCS
ISBN (Print)9783319675428
DOIs
Publication statusPublished - 8 Sept 2017
Event4th International Workshop on Computer Assisted and Robotic Endoscopy, CARE 2017 and 6th International Workshop on Clinical Image-Based Procedures, CLIP 2017 held in Conjunction with 20th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2017 - Quebec City, Canada
Duration: 14 Sept 201714 Sept 2017

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10550 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference4th International Workshop on Computer Assisted and Robotic Endoscopy, CARE 2017 and 6th International Workshop on Clinical Image-Based Procedures, CLIP 2017 held in Conjunction with 20th International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2017
Country/TerritoryCanada
CityQuebec City
Period14/09/1714/09/17

Keywords

  • Image analysis
  • Image interpretation and understanding
  • Machine learning
  • Radius fractures
  • Wrist fractures
  • X-ray fracture detection

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