Flexible non cartilage seeds for osteoarthritic magnetic resoance image of knee: Data from the osteoarthritis initiative

Hong Seng Gen, Khairil Amir Sayuti, Noor Hasmiza Harun, Ahmad Helmy Abdul Karim

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

5 Citations (Scopus)

Abstract

Difficulties in analyzing diseased knee cartilage is attributed to large anatomical variation caused by osteoarthritic features. Using expert initialization as crucial source of information, interactive method is very useful in osteoarthritic cartilage segmentation. However, high level of expert intervention remains an issue for existing interactive segmentation model. Therefore, a flexible seeds labelling method has been proposed to automatically cover non-cartilage tissue. Compared to manual segmentation, the proposed method lowers the processing time by 48% in observer 1 and 30% in observer 2. Besides, the proposed method has demonstrated high Dice's reproducibility of 0.80 for observer 1 and 0.82 for observer 2. In future, inter-observer reproducibility should be performed to analyze the progression of knee osteoarthritis.

Original languageEnglish
Title of host publicationIECBES 2016 - IEEE-EMBS Conference on Biomedical Engineering and Sciences
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages748-751
Number of pages4
ISBN (Electronic)9781467377911
DOIs
Publication statusPublished - 2016
Externally publishedYes
Event2016 IEEE-EMBS Conference on Biomedical Engineering and Sciences, IECBES 2016 - Kuala Lumpur, Malaysia
Duration: 4 Dec 20168 Dec 2016

Publication series

NameIECBES 2016 - IEEE-EMBS Conference on Biomedical Engineering and Sciences

Conference

Conference2016 IEEE-EMBS Conference on Biomedical Engineering and Sciences, IECBES 2016
Country/TerritoryMalaysia
CityKuala Lumpur
Period4/12/168/12/16

Keywords

  • Interactive segmentation
  • Knee cartilage
  • Non-cartilage seeds
  • Osteoarthritis

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