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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Alizadeh, M. Mohamed, F.B. Faro, S.H. Shah, P. Middleton, D.M. Conklin, C.J. Mulcahey, M.J. |
| Copyright Year | 2015 |
| Description | Author affiliation: Dept. of Radiol., Temple Univ., Philadelphia, PA, USA (Shah, P.; Conklin, C.J.) || Dept. of Occupational Therapy, Thomas Jefferson Univ., Philadelphia, PA, USA (Mulcahey, M.J.) || Dept. of Bioeng., Temple Univ., Philadelphia, PA, USA (Alizadeh, M.; Mohamed, F.B.; Faro, S.H.; Middleton, D.M.) |
| 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. |
| Starting Page | 1 |
| Ending Page | 2 |
| File Size | 287047 |
| Page Count | 2 |
| File Format | |
| e-ISBN | 9781479983605 |
| DOI | 10.1109/NEBEC.2015.7117146 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-04-17 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Image segmentation Diffusion tensor imaging Irrigation Object segmentation Spinal cord injury b0 image Segmentation diffusion tensor imaging spinal cord injury |
| Content Type | Text |
| Resource Type | Article |
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