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MRI-PET image fusion based on NSCT transform using local energy and local variance fusion rules

Amini, N ; Sharif University of Technology

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  1. Type of Document: Article
  2. DOI: 10.3109/03091902.2014.904014
  3. Abstract:
  4. Image fusion means to integrate information from one image to another image. Medical images according to the nature of the images are divided into structural (such as CT and MRI) and functional (such as SPECT, PET). This article fused MRI and PET images and the purpose is adding structural information from MRI to functional information of PET images. The images decomposed with Nonsubsampled Contourlet Transform and then two images were fused with applying fusion rules. The coefficients of the low frequency band are combined by a maximal energy rule and coefficients of the high frequency bands are combined by a maximal variance rule. Finally, visual and quantitative criteria were used to evaluate the fusion result. In visual evaluation the opinion of two radiologists was used and in quantitative evaluation the proposed fusion method was compared with six existing methods and used criteria were entropy, mutual information, discrepancy and overall performance
  5. Keywords:
  6. Fusion rule ; Frequency bands ; Mathematical transformations ; Functional information ; High frequency bands ; Multi-scale geometric analysis ; Quantitative criteria ; Quantitative evaluation ; Structural information ; Alzheimer disease ; Controlled study ; Energy ; Entropy ; Image analysis ; Image fusion ; Intermethod comparison ; Neuroimaging ; Nonsubsampled contourlet transform ; Nuclear magnetic resonance imaging ; Priority journal ; Quantitative analysis ; Radiologist ; Computer assisted diagnosis ; Algorithms ; Human ; Image Interpretation, Computer-Assisted ; Magnetic Resonance Imaging ; Positron-Emission Tomography
  7. Source: Journal of Medical Engineering and Technology ; Vol. 38, issue. 4 , 2014 , p. 211-219
  8. URL: http://www.ncbi.nlm.nih.gov/pubmed/24758393