Segmentation of spinal cord in the pediatric spinal Diffusion Tensor MR Imaging

Mahdi Alizadeh, Feroze B. Mohamed, Scott H. Faro, Pallav Shah, Devon M. Middleton, Chris J. Conklin, Mj Mulcahey

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

Abstract

Classification and segmentation of small structures such as spinal cord is extremely challenging. In this paper, a multi stage segmentation algorithm is proposed and tested to accurately and reliably segment the spinal canal and spinal cord from the background in the pediatric spinal Diffusion Tensor MR images. First, median filter and image compression methods were applied to mitigate the amplitude of the noise and improve the homogeneity of the image. Next, mathematical morphological processing was applied to segment and label the regions attributed to the spinal canal. These segmented regions were classified into the spinal canal and background using a Euclidean metric obtained by centroid coordinates of segmented regions in the volumetric DTI data. Finally, Otsu thresholding technique was applied to extract cord region from spinal canal. Segmentation accuracy, sensitivity, specificity and spatial overlap index were examined as performance measurements. The quantitative measurements represent the effectiveness of the proposed method.

Original languageEnglish (US)
Title of host publication2015 41st Annual Northeast Biomedical Engineering Conference, NEBEC 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479983605
DOIs
StatePublished - Jun 2 2015
Event2015 41st Annual Northeast Biomedical Engineering Conference, NEBEC 2015 - Troy, United States
Duration: Apr 17 2015Apr 19 2015

Publication series

Name2015 41st Annual Northeast Biomedical Engineering Conference, NEBEC 2015

Other

Other2015 41st Annual Northeast Biomedical Engineering Conference, NEBEC 2015
CountryUnited States
CityTroy
Period4/17/154/19/15

Keywords

  • Segmentation
  • b0 image
  • diffusion tensor imaging
  • spinal cord injury

ASJC Scopus subject areas

  • Biotechnology
  • Cancer Research
  • Cell Biology
  • Molecular Medicine
  • Biomedical Engineering
  • Control and Systems Engineering

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