Multi-sensor Learning Enables Information Transfer across Different Sensory Data and Augments Multi-modality Imaging

Lingting Zhu1
Yizheng Chen2
Lianli Liu2
Lei Xing2*
Lequan Yu1,2*
1The University of Hong Kong
2Stanford University



Video display of MSL images with different λ

MSL images with different values of λ for the three cases in the manuscript (Fig. 2) are shown as a video in the following. The video shows variable hybridization of CT and MRI to provide a holistic view of the patients from the perspective of dual modality imaging.



The following video shows the results of MSL imaging with variable local contrast via the use of spatially non-uniform λ. The contrast of imaging content is tuned to highlight different regions in the image to better visualize the soft tissue or bony structures.