Computer Science ›› 2018, Vol. 45 ›› Issue (3): 241-246.doi: 10.11896/j.issn.1002-137X.2018.03.038

Special Issue: Medical Imaging

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Change Detection of Multiple Sclerosis in Brain Based on Multi-modal Local Steering Kernel

GUO Yang and QIN Pin-le   

  • Online:2018-03-15 Published:2018-11-13

Abstract: Volume effect and artifact are important influence factors in MR image processing and single-modal methods can be easily affected.This paper proposed an improved method based on multi-modal local steering kernel to detect the multiple sclerosis in the brain.This method utilizes multi-modal brain MR images and the approximate symmetry of the brain for change detection of the brain.Local steering kernel can measure the similarity between pixels and their surroundings.The proposed method takes the local steering kernel as the feature and measures the dissimilarity by cosine similarity.The experimental results show that the introduction of multi-modal reduces the volume effect and artifact in the MRI,improving the detection effect.

Key words: Volume effect,Artifact,MR image,Multi-modal,Local steering kernel,Change detection

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