This project, chaired by Prof. Liu Huafeng in COSE, was supported as the Distinguished Youth Science project by NSFC in 2015.One metric alone is difficult to fully understand the pathophysiology of the disease, it needs to combine all related parameters in a whole picture. To get the quality, speed and reliability of application information as the core, the project intends to address the following key issues: sparse and physiological constraints of medical imaging, a variety of physiological function parameters simultaneously detection and rapid acquisition issues and quantitative reconstruction. The vision of the project is to create multi-parameter imaging theory with incorporating sparsity of the data and the physiological constraints behind the data.
