Reliable extraction of the mid-sagittal plane in 3D brain MRI via hierarchical landmark detection

Alexander G. Schwing, Yefeng Zheng

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

Abstract

Reliable detection of the mid-sagittal plane is the key for brain image registration, asymmetry analysis, and group studies. Although the brain presents most of the time a regular structure, outliers in the data consisting of brain tumors or various deformations pose challenges to the existing approaches. We propose in this paper a robust approach for mid-sagittal plane extraction based on hierarchical landmark detection. Cross-validated results demonstrate comparable accuracy (1.08° plane normal error) to those of human experts on a volumetric data set that contains pediatric patients as well as elderly with different diseases.

Original languageEnglish (US)
Title of host publication2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages213-216
Number of pages4
ISBN (Electronic)9781467319591
StatePublished - Jul 29 2014
Externally publishedYes
Event2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014 - Beijing, China
Duration: Apr 29 2014May 2 2014

Publication series

Name2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014

Other

Other2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014
CountryChina
CityBeijing
Period4/29/145/2/14

Keywords

  • Brain landmark detection
  • Magnetic resonance imaging
  • Mid-sagittal plane detection

ASJC Scopus subject areas

  • Biomedical Engineering
  • Radiology Nuclear Medicine and imaging

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  • Cite this

    Schwing, A. G., & Zheng, Y. (2014). Reliable extraction of the mid-sagittal plane in 3D brain MRI via hierarchical landmark detection. In 2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014 (pp. 213-216). [6867847] (2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014). Institute of Electrical and Electronics Engineers Inc..