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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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2014-01-01
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| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1155/2014/708075 |
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| _version_ | 1850227021173489664 |
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| author | Umer Javed Muhammad Mohsin Riaz Abdul Ghafoor Syed Sohaib Ali Tanveer Ahmed Cheema |
| author_facet | Umer Javed Muhammad Mohsin Riaz Abdul Ghafoor Syed Sohaib Ali Tanveer Ahmed Cheema |
| author_sort | Umer Javed |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-52792e97ba6248c6a6984cd7ba9bfbde |
| institution | OA Journals |
| issn | 2356-6140 1537-744X |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Scientific World Journal |
| spelling | doaj-art-52792e97ba6248c6a6984cd7ba9bfbde2025-08-20T02:04:55ZengWileyThe Scientific World Journal2356-61401537-744X2014-01-01201410.1155/2014/708075708075MRI and PET Image Fusion Using Fuzzy Logic and Image Local FeaturesUmer Javed0Muhammad Mohsin Riaz1Abdul Ghafoor2Syed Sohaib Ali3Tanveer Ahmed Cheema4Faculty of Engineering and Technology, International Islamic University, Islamabad 44000, PakistanCollege of Signals, National University of Sciences and Technology, Islamabad 44000, PakistanCollege of Signals, National University of Sciences and Technology, Islamabad 44000, PakistanCollege of Signals, National University of Sciences and Technology, Islamabad 44000, PakistanSchool of Engineering and Applied Sciences, Isra University, Islamabad 44000, PakistanAn 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.http://dx.doi.org/10.1155/2014/708075 |
| spellingShingle | Umer Javed Muhammad Mohsin Riaz Abdul Ghafoor Syed Sohaib Ali Tanveer Ahmed Cheema MRI and PET Image Fusion Using Fuzzy Logic and Image Local Features The Scientific World Journal |
| title | MRI and PET Image Fusion Using Fuzzy Logic and Image Local Features |
| title_full | MRI and PET Image Fusion Using Fuzzy Logic and Image Local Features |
| title_fullStr | MRI and PET Image Fusion Using Fuzzy Logic and Image Local Features |
| title_full_unstemmed | MRI and PET Image Fusion Using Fuzzy Logic and Image Local Features |
| title_short | MRI and PET Image Fusion Using Fuzzy Logic and Image Local Features |
| title_sort | mri and pet image fusion using fuzzy logic and image local features |
| url | http://dx.doi.org/10.1155/2014/708075 |
| work_keys_str_mv | AT umerjaved mriandpetimagefusionusingfuzzylogicandimagelocalfeatures AT muhammadmohsinriaz mriandpetimagefusionusingfuzzylogicandimagelocalfeatures AT abdulghafoor mriandpetimagefusionusingfuzzylogicandimagelocalfeatures AT syedsohaibali mriandpetimagefusionusingfuzzylogicandimagelocalfeatures AT tanveerahmedcheema mriandpetimagefusionusingfuzzylogicandimagelocalfeatures |