Sensing and Imaging

Topical Issue on Hybrid Imaging and Image Fusion

Guest Editors
Ming Jiang, Peking University, China ming-jiang@ieee.org
Simon Arridge, University College London, UK
Shutao Li, Hunan University, China
Ge Wang, Rensselaer Polytechnic Institute, USA


Call for Papers

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.

This topical issue is focused on but not limited to the following topics:
• Design and implementation of hybrid imaging techniques and systems
• Image reconstruction methods for hybrid imaging systems
• Image fusion methods for hybrid imaging systems

We invite submissions of full papers and short correspondences as related to theoretical analysis, algorithm design, system development, and performance assessment. Papers on feasibility of futuristic imaging modalities are also welcome.
Authors should submit their manuscripts through the online Manuscript Tracking System at http://www.editorialmanager.com/ssta, indicate that they are for this special issue, and choose one of the guest editors to handle their manuscripts. Authors are encouraged to discuss with a guest editor to determine the suitability of their intended contributions.