An automated method to segment the femur for osteoarthritis research

Jeffrey W. Prescott, Michael Pennell, Thomas Best, Mark S. Swanson, Furqan Haq, Rebecca Jackson, Metin N. Gurcan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)

Abstract

In this paper we develop a fully automated method for the segmentation of the femur in axial MR images and its use in the analysis of imaging biomarkers for osteoarthritis (OA). The proposed method is based on anatomical constraints implemented using morphological operations to extract the femur medulla and a level set evolution to extract the femur cortex. The average agreement of the automated segmentation algorithm with ground truth manual segmentations was 0.94 ± 0.03 calculated using the Zijdenbos similarity index (ZSI). A pooled variance t-test analysis found significant associations between the KL grade, a clinical measure of OA severity, and both the cross-sectional area (CSA) of the femur medulla (p = 0.02) and the ratio of the femur medulla CSA to the femur cortex CSA (p = 0.04) for women. No significant association between femur measurements and KL grade was found for men.

Original languageEnglish (US)
Title of host publicationProceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Subtitle of host publicationEngineering the Future of Biomedicine, EMBC 2009
PublisherIEEE Computer Society
Pages6364-6367
Number of pages4
ISBN (Print)9781424432967
DOIs
StatePublished - Jan 1 2009
Externally publishedYes
Event31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009 - Minneapolis, MN, United States
Duration: Sep 2 2009Sep 6 2009

Other

Other31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009
CountryUnited States
CityMinneapolis, MN
Period9/2/099/6/09

Fingerprint

Biomarkers
Osteoarthritis
Femur
Association reactions
Imaging techniques
Research

ASJC Scopus subject areas

  • Cell Biology
  • Developmental Biology
  • Biomedical Engineering
  • Medicine(all)

Cite this

Prescott, J. W., Pennell, M., Best, T., Swanson, M. S., Haq, F., Jackson, R., & Gurcan, M. N. (2009). An automated method to segment the femur for osteoarthritis research. In Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009 (pp. 6364-6367). [5333257] IEEE Computer Society. https://doi.org/10.1109/IEMBS.2009.5333257

An automated method to segment the femur for osteoarthritis research. / Prescott, Jeffrey W.; Pennell, Michael; Best, Thomas; Swanson, Mark S.; Haq, Furqan; Jackson, Rebecca; Gurcan, Metin N.

Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009. IEEE Computer Society, 2009. p. 6364-6367 5333257.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Prescott, JW, Pennell, M, Best, T, Swanson, MS, Haq, F, Jackson, R & Gurcan, MN 2009, An automated method to segment the femur for osteoarthritis research. in Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009., 5333257, IEEE Computer Society, pp. 6364-6367, 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009, Minneapolis, MN, United States, 9/2/09. https://doi.org/10.1109/IEMBS.2009.5333257
Prescott JW, Pennell M, Best T, Swanson MS, Haq F, Jackson R et al. An automated method to segment the femur for osteoarthritis research. In Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009. IEEE Computer Society. 2009. p. 6364-6367. 5333257 https://doi.org/10.1109/IEMBS.2009.5333257
Prescott, Jeffrey W. ; Pennell, Michael ; Best, Thomas ; Swanson, Mark S. ; Haq, Furqan ; Jackson, Rebecca ; Gurcan, Metin N. / An automated method to segment the femur for osteoarthritis research. Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009. IEEE Computer Society, 2009. pp. 6364-6367
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