Wavelet-based medical image fusion via a non-linear operator
Medical image fusion has been extensively used to aid medical diagnosis by combining images of various modalities such as Computed Tomography (CT) and Magnetic Resonance Image (MRI) into a single output image that contains salient features from both inputs. This paper proposes a novel fusion algorit...
| Main Authors: | , , , , |
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| Format: | Conference or Workshop Item |
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2017
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| _version_ | 1796866339610034176 |
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| author | Omar, Zaid Ahmed, Saif S. Mokji, Musa Hanafi, Marsyita Bhateja, Vikrant |
| author_facet | Omar, Zaid Ahmed, Saif S. Mokji, Musa Hanafi, Marsyita Bhateja, Vikrant |
| author_sort | Omar, Zaid |
| collection | ePrints |
| description | Medical image fusion has been extensively used to aid medical diagnosis by combining images of various modalities such as Computed Tomography (CT) and Magnetic Resonance Image (MRI) into a single output image that contains salient features from both inputs. This paper proposes a novel fusion algorithm through the use of a non-linear fusion operator, based on the low sub-band coefficients of the Discrete Wavelet Transform (DWT). Rather than employing the conventional mean rule for approximation sub-bands, a modified approach is taken by the introduction of a non-linear fusion rule that exploits the multimodal nature of the image inputs by prioritizing the stronger coefficients. Performance evaluation of CT-MRI image fusion datasets based on a range of wavelet filter banks shows that the algorithm boasts improved scores of up to 92% as compared to established methods. Overall, the non-linear fusion rule holds strong potential to help improve image fusion applications in medicine and indeed other fields. |
| first_indexed | 2024-03-05T21:10:40Z |
| format | Conference or Workshop Item |
| id | utm.eprints-97017 |
| institution | Universiti Teknologi Malaysia - ePrints |
| last_indexed | 2024-03-05T21:10:40Z |
| publishDate | 2017 |
| record_format | dspace |
| spelling | utm.eprints-970172022-09-13T06:57:07Z http://eprints.utm.my/97017/ Wavelet-based medical image fusion via a non-linear operator Omar, Zaid Ahmed, Saif S. Mokji, Musa Hanafi, Marsyita Bhateja, Vikrant TK Electrical engineering. Electronics Nuclear engineering Medical image fusion has been extensively used to aid medical diagnosis by combining images of various modalities such as Computed Tomography (CT) and Magnetic Resonance Image (MRI) into a single output image that contains salient features from both inputs. This paper proposes a novel fusion algorithm through the use of a non-linear fusion operator, based on the low sub-band coefficients of the Discrete Wavelet Transform (DWT). Rather than employing the conventional mean rule for approximation sub-bands, a modified approach is taken by the introduction of a non-linear fusion rule that exploits the multimodal nature of the image inputs by prioritizing the stronger coefficients. Performance evaluation of CT-MRI image fusion datasets based on a range of wavelet filter banks shows that the algorithm boasts improved scores of up to 92% as compared to established methods. Overall, the non-linear fusion rule holds strong potential to help improve image fusion applications in medicine and indeed other fields. 2017 Conference or Workshop Item PeerReviewed Omar, Zaid and Ahmed, Saif S. and Mokji, Musa and Hanafi, Marsyita and Bhateja, Vikrant (2017) Wavelet-based medical image fusion via a non-linear operator. In: 2016 IEEE Region 10 Conference, TENCON 2016, 22 - 25 November 2016, Singapore. http://dx.doi.org/10.1109/TENCON.2016.7848214 |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering Omar, Zaid Ahmed, Saif S. Mokji, Musa Hanafi, Marsyita Bhateja, Vikrant Wavelet-based medical image fusion via a non-linear operator |
| title | Wavelet-based medical image fusion via a non-linear operator |
| title_full | Wavelet-based medical image fusion via a non-linear operator |
| title_fullStr | Wavelet-based medical image fusion via a non-linear operator |
| title_full_unstemmed | Wavelet-based medical image fusion via a non-linear operator |
| title_short | Wavelet-based medical image fusion via a non-linear operator |
| title_sort | wavelet based medical image fusion via a non linear operator |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| work_keys_str_mv | AT omarzaid waveletbasedmedicalimagefusionviaanonlinearoperator AT ahmedsaifs waveletbasedmedicalimagefusionviaanonlinearoperator AT mokjimusa waveletbasedmedicalimagefusionviaanonlinearoperator AT hanafimarsyita waveletbasedmedicalimagefusionviaanonlinearoperator AT bhatejavikrant waveletbasedmedicalimagefusionviaanonlinearoperator |