Atlas-based segmentation of neck muscles from MRI for the characterisation of whiplash associated disorder

Abdulla Al Suman*, Mst. Nargis Aktar, Md. Asikuzzaman, Alexandra Louise Webb, Diana M. Perriman, Mark R. Pickering

*Corresponding author for this work

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

3 Citations (Scopus)

Abstract

Whiplash-associated disorder (WAD) is a commonly occurring injury that often results from neck trauma suffered in car accidents. However the cause of the condition is still unknown and there is no definitive clinical test for the presence of the condition. Researchers have begun to analyze the size of neck muscles and the presence of fatty infiltrates to help understand WAD. However this analysis requires a high precision delineation of neck muscles which is very challenging due to a lack of distinctive features in neck magnetic resonance imaging (MRI). This paper presents a novel atlas-based neck muscle segmentation method which employs discrete cosine-based elastic registration with affine initialization. Our algorithm shows promising results based on clinical data with an average Dice similarity coefficient (DSC) of 0.84 +/- 0.0004.

Original languageEnglish
Title of host publicationEighth International Conference on Digital Image Processing (ICDIP 2016)
EditorsCharles M. Falco, Xudong Jiang
PublisherSPIE
Pages1-5
Number of pages5
ISBN (Electronic)9781510605046
ISBN (Print)9781510605039
DOIs
Publication statusPublished - 2016
Externally publishedYes
Event8th International Conference on Digital Image Processing (ICDIP) - Chengdu
Duration: 20 May 201623 May 2016

Publication series

NameProceedings of SPIE
PublisherSPIE-INT SOC OPTICAL ENGINEERING
Volume10033
ISSN (Print)0277-786X

Conference

Conference8th International Conference on Digital Image Processing (ICDIP)
CityChengdu
Period20/05/1623/05/16

Keywords

  • Atlas
  • registration
  • Dice similarity coefficient
  • affine
  • elastic motion model

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