MRI-SPECT image fusion integrates anatomical structures and functional information, yielding a unified and enriched representation. Medical image fusion techniques based on joint sparse representation (JSR) combine the complimentary qualities of source images using a single dictionary. However, these methods are not entirely effective in accurately representing the unique qualities of different modal signals. To solve this constraint, this study introduces a unique technique called coupled dictionary-based fusion (CDF), which successfully maintains geometrical properties from input images. In this method, the energy of gradients (EOG) serves as the primary metric for measuring activity levels, aiding in the selection of focus pairs from the MRI-SPECT image sets. Subsequently, an adaptive coupled dictionary is formed through an online dictionary learning (ODL) algorithm, which effectively exposes the inherent structures within the input images. By utilizing this trained dictionary, sparse coefficients are computed using the Lasso algorithm. To capture the key features of the input images, a novel fusion method based on higher valued sparse coefficients is developed. An experimental assessment including 12 pairs of MRI-SPECT image reveals the proposed CDF technique's computing efficiency and improved performance, both in terms of visual quality and statistical metrics, outperforming previous approaches.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    MRI-SPECT Image Fusion with Coupled Sparse Dictionary


    Beteiligte:
    N, Aishwarya (Autor:in) / RV, Sai Keerthi (Autor:in) / Kaur, Kanwaljeet (Autor:in)


    Erscheinungsdatum :

    22.11.2023


    Format / Umfang :

    1025204 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Sparse Fusion Based on SAM Elective Sample Dictionary Establishment

    Sun, Xiaofang | British Library Conference Proceedings | 2016


    Image Deblurring with Coupled Dictionary Learning

    Xiang, S. / Meng, G. / Wang, Y. et al. | British Library Online Contents | 2015


    Image denoising via sparse representation using rotational dictionary

    Tang, Y. / Xu, N. / Jiang, A. et al. | British Library Online Contents | 2014


    Sparse Representation Based Fisher Discrimination Dictionary Learning for Image Classification

    Yang, M. / Zhang, L. / Feng, X. et al. | British Library Online Contents | 2014


    Image fusion with nonsubsampled contourlet transform and sparse representation

    Wang, J. / Peng, J. / Feng, X. et al. | British Library Online Contents | 2013