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 isto maximally combine useful information present in MRI and PET images. Image local features are extracted and combi...

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Veröffentlicht in:	TheScientificWorld 2014-01, Vol.2014 (2014), p.1-8
Hauptverfasser:	Ghafoor, Abdul, Cheema, Tanveer Ahmed, Ali, Syed Sohaib, Javed, Umer, Mohsin Riaz, Muhammad
Format:	Artikel
Sprache:	eng
Schlagworte:	Astrocytoma - diagnosis Astrocytoma - diagnostic imaging Brain - anatomy & histology Brain - diagnostic imaging Brain Neoplasms - diagnosis Brain Neoplasms - diagnostic imaging Decomposition Defense industry Fuzzy algorithms Fuzzy Logic Fuzzy systems Humans Image Enhancement - methods Image Interpretation, Computer-Assisted - methods Magnetic resonance imaging Magnetic Resonance Imaging - methods Medical imaging Methods Neural networks PET imaging Positron-Emission Tomography - methods Principal components analysis Wavelet transforms
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Beschreibung
Zusammenfassung:	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 isto 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.
ISSN:	2356-6140 1537-744X 1537-744X
DOI:	10.1155/2014/708075