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Medical images stabilization using sparse-induced similarity measure

Hariri, A ; Sharif University of Technology | 2015

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  1. Type of Document: Article
  2. DOI: 10.1109/PRIA.2015.7161624
  3. Publisher: Institute of Electrical and Electronics Engineers Inc , 2015
  4. Abstract:
  5. Medical image stabilization has been widely used for clinical imaging modalities. Registration is a conspicuous stage for stabilizing dynamic medical images. Some of regular methods are sensitive to bias field distortion. Sparse-induced similarity measure (SISM) is a robust registering method against spatially-varying intensity distortions which is not evitable on clinical imaging instruments. This paper presents a method for registering medical images to average of captured images using SISM method to avoid spatially-varying intensity distortions like Bias field. Proposed method is compared with SSD and MI similarity measure based registrations. Results show enhancement in stabilizing medical dynamic images with SISM method
  6. Keywords:
  7. Medical dynamic images ; Sparse-induced similarity measurement ; Spatially-varying intensity distortion ; Image analysis ; Pattern recognition ; Stabilization ; Bias field ; Dynamic images ; Image stabilization ; Imaging instruments ; Imaging modality ; Similarity measure ; Similarity measurements ; Medical imaging
  8. Source: 2015 2nd International Conference on Pattern Recognition and Image Analysis, IPRIA 2015, 11 March 2015 through 12 March 2015 ; March , 2015 ; 9781479984459 (ISBN)
  9. URL: http://ieeexplore.ieee.org/document/7161624/?reload=true