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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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