Loading [a11y]/accessibility-menu.js
Automated Localization of Multiple Pelvic Bone Structures on MRI | IEEE Journals & Magazine | IEEE Xplore

Automated Localization of Multiple Pelvic Bone Structures on MRI


Abstract:

In this paper, we present a fully automated localization method for multiple pelvic bone structures on magnetic resonance images (MRI). Pelvic bone structures are at pres...Show More

Abstract:

In this paper, we present a fully automated localization method for multiple pelvic bone structures on magnetic resonance images (MRI). Pelvic bone structures are at present identified manually on MRI to locate reference points for measurement and evaluation of pelvic organ prolapse (POP). Given that this is a time-consuming and subjective procedure, there is a need to localize pelvic bone structures automatically. However, bone structures are not easily differentiable from soft tissue on MRI as their pixel intensities tend to be very similar. In this paper, we present a model that combines support vector machines and nonlinear regression capturing global and local information to automatically identify the bounding boxes of bone structures on MRI. The model identifies the location of the pelvic bone structures by establishing the association between their relative locations and using local information such as texture features. Results show that the proposed method is able to locate the bone structures of interest accurately (dice similarity index >0.75) in 87-91% of the images. This research aims to enable accurate, consistent, and fully automated localization of bone structures on MRI to facilitate and improve the diagnosis of health conditions such as female POP.
Published in: IEEE Journal of Biomedical and Health Informatics ( Volume: 20, Issue: 1, January 2016)
Page(s): 249 - 255
Date of Publication: 25 November 2014

ISSN Information:

PubMed ID: 25438328

References

References is not available for this document.