Collection

Hybrid Imaging and Image Fusion

Submission status
Closed
Image fusion is the image processing technique through which multiple images from the same or complementary modalities are combined into a single image. Examples include the fusion of X-ray CT and PET images, the combination of Landsat and Panchromatic images, and the creation of spectral optical images. A current research frontier is the integration of multiple modalities to create a hybrid imaging system, such as the PET/CT, PET/MRI, DOT/MRI and DOT/CT systems. This development provides not only an improvement of imaging performance but also the opportunity for image fusion with higher performance. More importantly, it calls for advanced image reconstruction methods that take advantage of the coupled multi-physics underlying the hybrid imaging processes. With synergies among different modalities, image quality can be enhanced by combining the reconstruction algorithms for individual modalities such as with appropriate regularization terms.

Editors

  • Ming Jiang Ming Jiang , 

    Ming Jiang

    Peking University, China

  • Simon Arridge Simon Arridge , 

    Simon Arridge

    University College London, UK

  • Shutao Li Shutao Li  &

    Shutao Li

    Hunan University, China

  • Ge Wang Ge Wang

    Ge Wang

    Rensselaer Polytechnic Institute, USA

Articles (5 in this collection)