Since their inceptions, the multimodal imaging techniques have received a great deal of
attention for achieving enhanced imaging performance. In this work, a novel joint …

Multimodal imaging techniques have received a great deal of attention, since their
inceptions for achieving an enhanced imaging performance. In this paper, a novel joint …

Since its recent inception, simultaneous image reconstruction for multimodality fusion has
received a great deal of attention due to its superior imaging performance. On the other …

Background Multi-contrast images in magnetic resonance imaging (MRI) provide abundant
contrast information reflecting the characteristics of the internal tissues of human bodies, and …

The fusion of multimodal medical images plays an important role in many clinical
applications as it can support more accurate information than any individual source image …

Fusion of multimodal medical images increases robustness and enhances accuracy in
biomedical research and clinical diagnosis. It attracts much attention over the past decade …

To utilize the synergy between CT and MR datasets from an object at the same time, a
unified dual-modality image reconstruction approach is proposed using a dual-dictionary …

In this paper, we propose a novel image reconstruction algorithm using multi-scale 3D
convolutional sparse coding and a spectral decomposition technique for highly …

This works addresses the problem of reconstructing multiple T1-or T2-weighted images of
the same anatomical cross section from partially sampled K-space data. Previous studies in …

Accelerating the imaging speed without sacrificing image structures plays an important role
in magnetic resonance imaging. Under-sampling the k-space data and reconstructing the …