MRIs are effective for non-invasively imaging the interior of the human brain. Due to the large amount of data associated with typical MRI sessions, manual segmentation of the images of the human brain is prohibitive except in isolated cases. The various imaging and contrast artifacts common to MRIs, however, make automatic segmentation difficult. A segmentation algorithm incorporating multi-channel MRI data is described; this approach utilizes the variational calculus formulation to simultaneously compute piecewise smooth estimates of each channel, as well as a continuous "edge process" common to all the channels.<>


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Variational segmentation of multi-channel MRI images


    Beteiligte:
    Pien, H.H. (Autor:in) / Gauch, J.M. (Autor:in)


    Erscheinungsdatum :

    01.01.1994


    Format / Umfang :

    444571 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Variational Segmentation of Multi-Channel MRI Images

    Pien, H. H. / Gauch, J. M. / IEEE; Signal Processing Society | British Library Conference Proceedings | 1994


    Variational segmentation of color images

    Nasios, N. / Bors, A.G. | IEEE | 2005


    Variational Segmentation of Color Images

    Nasios, N. / Bors, A. G. | British Library Conference Proceedings | 2005



    Tissue Segmentation of Multi-Channel Brain Images with Inhomogeneity Correction

    Tan, C. L. / Rajapakse, J. C. / IEEE | British Library Conference Proceedings | 2003