Abstract #2808
Ghost Artifact Removal Using Texture Analysis in Spinal Cord Diffusion Tensor Images
Mahdi Alizadeh 1,2 , Pallav Shah 2 , Devon M Middleton 1,2 , Chris J Conklin 2,3 , Sona Saksena 2 , Scott H Faro 1,2 , MJ Mulcahey 4 , Jrgen Finsterbusch 5 , and Feroze B Mohamed 1,2
1
Bioengineering, Temple university,
Philadelphia, Pennsylvania, United States,
2
Radiology,
Temple university, Pennsylvania, United States,
3
Electrical
Engineering, Temple university, Pennsylvania, United
States,
4
Occupational
Therapy, Thomas Jefferson University, Pennsylvania,
United States,
5
Systems
Neuroscience, University Medical Center
Hamburg-Eppendorf, Hamburg, Germany
In this paper we presented a novel technique to segment
and distinct ghost artifacts from cord in diffusion
tensor spinal cord images. This techniques is
multi-stage method included three main steps namely,
segmentation, feature extraction and classification. The
extracted features from segmented regions classified
using Adaptive Neuro Fuzzy Interface System (ANFIS).
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