Conference proceeding
Semi-automatic segmentation and modeling of the cervical spinal cord for volume quantification in multiple sclerosis patients from magnetic resonance images
Proceedings of SPIE, Vol.6914(1), pp.69144I-69144I-10
03/11/2008
DOI: 10.1117/12.773055
Abstract
Spinal cord (SC) tissue loss is known to occur in some patients with multiple sclerosis (MS), resulting in SC atrophy. Currently, no measurement tools exist to determine the magnitude of SC atrophy from Magnetic Resonance Images (MRI). We have developed and implemented a novel semi-automatic method for quantifying the cervical SC volume (CSCV) from Magnetic Resonance Images (MRI) based on level sets. The image dataset consisted of SC MRI exams obtained at 1.5 Tesla from 12 MS patients (10 relapsing-remitting and 2 secondary progressive) and 12 age- and gender-matched healthy volunteers (HVs). 3D high resolution image data were acquired using an IR-FSPGR sequence acquired in the sagittal plane. The mid-sagittal slice (MSS) was automatically located based on the entropy calculation for each of the consecutive sagittal slices. The image data were then pre-processed by 3D anisotropic diffusion filtering for noise reduction and edge enhancement before segmentation with a level set formulation which did not require re-initialization. The developed method was tested against manual segmentation (considered ground truth) and intra-observer and inter-observer variability were evaluated.
Details
- Title: Subtitle
- Semi-automatic segmentation and modeling of the cervical spinal cord for volume quantification in multiple sclerosis patients from magnetic resonance images
- Creators
- Pavlina Sonkova - National Institutes of Health (United States)Iordanis E Evangelou - National Institutes of Health (United States)Antonio Gallo - National Institutes of Health (United States)Fredric K Cantor - National Institutes of Health (United States)Joan Ohayon - National Institutes of Health (United States)Henry F McFarland - National Institutes of Health (United States)Francesca Bagnato - National Institutes of Health (United States)
- Resource Type
- Conference proceeding
- Publication Details
- Proceedings of SPIE, Vol.6914(1), pp.69144I-69144I-10
- Publisher
- SPIE
- DOI
- 10.1117/12.773055
- ISSN
- 1605-7422
- Language
- English
- Date published
- 03/11/2008
- Academic Unit
- Ophthalmology and Visual Sciences; Stead Family Department of Pediatrics
- Record Identifier
- 9983980037902771
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