Ongoing efforts at our laboratory have targeted the development of techniques for fusing medical imagery of various modalities (i.e. MRI, CT, PET, SPECT, etc.) into single image products. Past results have demonstrated the potential for user performance improvements and workload reduction. While these are positive results, a need exists to address the three-dimensional nature of most medical image data sets. In particular, image fusion of three-dimensional imagery (e.g. MRI slices) must account for information content not only within a given slice but also across adjacent slices. In this paper, we describe extensions made to our 2D image fusion system that utilize 3D convolution kernels to determine locally relevant fusion parameters., Representative examples are presented for fusion of MRI and SPECT imagery. We also present these examples in the context of a GUI platform under development aimed at improving user-computer interaction for exploration and mining of medical data.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Fusion of multi-modality volumetric medical imagery


    Beteiligte:
    Aguilar, M. (Autor:in) / New, J.R. (Autor:in)


    Erscheinungsdatum :

    2002-01-01


    Format / Umfang :

    718065 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Fusion of Multi-Modality Volumetric Medical Imagery

    Aguilar, M. / International Society of Information Fusion / Institute of Electrical and Electronics Engineers | British Library Conference Proceedings | 2002


    Multi-modality imagery database for plant phenotyping

    Cruz, J. A. | British Library Online Contents | 2016


    Machine Learning Multi-Modality Fusion Approaches Outperform Single-Modality & Traditional Approaches

    Garagic, Denis / Pelgrift, Daniel / Peskoe, Jacob et al. | IEEE | 2021


    Fuzzy Classification for Multi-Modality Image Fusion

    Bloch, I. / IEEE; Signal Processing Society | British Library Conference Proceedings | 1994


    Multi-modality gaze-contingent displays for image fusion

    Nikolov, S.G. / Bull, D.R. / Canagarajah, C.N. et al. | IEEE | 2002