MRI and PET Image Fusion Using Fuzzy Logic and Image Local Features

An image fusion technique for magnetic resonance imaging (MRI) and positron emission tomography (PET) using local features and fuzzy logic is presented. The aim of proposed technique is to maximally combine useful information present in MRI and PET images. Image local features are extracted and comb...

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Detalles Bibliográficos
Autores principales: Javed, Umer, Riaz, Muhammad Mohsin, Ghafoor, Abdul, Ali, Syed Sohaib, Cheema, Tanveer Ahmed
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2014
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3916105/
https://www.ncbi.nlm.nih.gov/pubmed/24574912
http://dx.doi.org/10.1155/2014/708075
Descripción
Sumario:An image fusion technique for magnetic resonance imaging (MRI) and positron emission tomography (PET) using local features and fuzzy logic is presented. The aim of proposed technique is to maximally combine useful information present in MRI and PET images. Image local features are extracted and combined with fuzzy logic to compute weights for each pixel. Simulation results show that the proposed scheme produces significantly better results compared to state-of-art schemes.

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